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Typical Scenarios and Technical Requirements of China’s Power Grid Towards 2030 for Power System Transformation 认领 引用
1
作者 Qiang Zhao Yuqiong Zhang +3 位作者 Ziwei Chen Xiaoxin Zhou Jiameng Gao Honghua Yang 《Engineering》 SCIE EI CSCD 2026年第4期16-21,共6页
As the critical milestone for China’s Nationally Determined Contributions(NDCs)[1],2030 is a pivotal benchmark year for the transformation of China’s power system.From now to 2030,the rapid growth in installed capac... As the critical milestone for China’s Nationally Determined Contributions(NDCs)[1],2030 is a pivotal benchmark year for the transformation of China’s power system.From now to 2030,the rapid growth in installed capacity and power generation of wind and solar power will lead to profound changes in the stability mechanisms and balancing characteristics of power systems[[2],[3],[4],[5]],posing new challenges to system security and reliability. 展开更多
关键词 power system transformation power systems posing stability mechanisms balancing characteristics wind power system security power grid wind solar power solar power
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Power system carbon emission flow analysis considering multiple operating conditions for power sources 认领 引用
2
作者 Chen Yang Yaowang Li +4 位作者 Yuliang Liu Yuan Leng Zhilin Lu Rongfeng Deng Ning Zhang 《iEnergy》 EI 2026年第1期22-29,共8页
The real-time and accurate calculation of electricity indirect carbon emissions is not only the critical component for quantifying the carbon emission levels of the power system but also an effective mean to guide ele... The real-time and accurate calculation of electricity indirect carbon emissions is not only the critical component for quantifying the carbon emission levels of the power system but also an effective mean to guide electricity users in carbon reduction and promote power industry low-carbon transformation.Fundamentally,calculating indirect carbon emissions involves allocating direct carbon emission data from the power source side,indicating that accurate indirect emission results rely on the precise measurement of power source emissions.However,existing research on indirect carbon emissions in large-scale power systems rarely accounts for variations in carbon emission characteristics under different operating conditions of power sources,such as ratedon-rated operating conditions and ramping up/down conditions,making it difficult to reflect source-side and load-side carbon emission information variation during providing ancillary services.Quadratic and exponential functions are proposed to characterize the energy consumption profiles of coal-fired and gas-fired power generation,respectively,to construct a refined carbon emission model for power sources.By leveraging the theory of power system carbon flow,we analyze how variable operating conditions of power sources impact indirect carbon emissions.Case studies demonstrate that changes in power source emissions under variable conditions have a significant effect on the indirect carbon emissions of power grids. 展开更多
关键词 Power system carbon emission flow Gas turbine Coal-fired power plant Operating conditions Power source carbon emission Energy consumption model
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Embodied-Intelligence Power Industrial Control Systems:Architecture Design,Key Scientific Problems,and Research Recommendations 认领 引用
3
作者 Tingjun Zhang Dong Yue 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期239-242,共4页
THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-... THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-cloud collaborative design.However,the large-scale integration ofdistributed renewable energy resources,coupled with the extensivedeployment of sensing and communication devices,has resulted inthe new-type power system characterized by dynamic complexityand high uncertainty[1]-[4]. 展开更多
关键词 power system embodied intelligence power industrial control system power architecture design key scientific problems power industrial control systems sensing communication deviceshas renewable energy resourcescoupled
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Flexible high-power laser system with adjustable pulse duration from 100 ps to 10 ns 认领 引用
4
作者 TIEJUN MA JIAYU ZHANG +7 位作者 SHENGJUN HUANG CHUNYAN JIA HONGKUN NIE RUNZE LIANG RUIHANG LI BO YAO JINBAO XIA BAITAO ZHANG 《Photonics Research》 SCIE EI CAS CSCD 2026年第5期2098-2106,共9页
A tailorable high-power laser with widely continuous tunable pulse width operating at 1064,532,and 355 nm is developed based on a fiber and solid-state hybrid master oscillator power amplifier(MOPA)system.A gain contr... A tailorable high-power laser with widely continuous tunable pulse width operating at 1064,532,and 355 nm is developed based on a fiber and solid-state hybrid master oscillator power amplifier(MOPA)system.A gain controllable high-repetition-rate solid-state pre-amplifier is designed to sufficiently suppress the leading-edge spike of the amplified laser pulse originating from the gain-switched semiconductor seed laser.The MOPA system achieves a maximum average output power of 230 W at 1 MHz and a single-pulse energy up to 1.5 mJ at100 kHz operating at 1064 nm with a full width at half-maximum(FWHM)in the spectrum of 0.1 nm and an adjustable pulse width from 100 ps to 10 ns. 展开更多
关键词 leading edge spike suppression maximum average output power flexible high power laser system adjustable pulse duration gain switched semiconductor seed laser single pulse energy fiber solid state hybrid master oscillator power amplifier MOPA system full width half maximum FWHM
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Fuzzy k-Means Clustering-Based Machine Learning Models for LFO Damping in Electric Power System Networks 认领 引用 被引量：1
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作者 Md Shafiullah 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第2期803-830,共28页
Various factors,including weak tie-lines into the electric power system(EPS)networks,can lead to low-frequency oscillations(LFOs),which are considered an instant,non-threatening situation,but slow-acting and poisonous... Various factors,including weak tie-lines into the electric power system(EPS)networks,can lead to low-frequency oscillations(LFOs),which are considered an instant,non-threatening situation,but slow-acting and poisonous.Considering the challenge mentioned,this article proposes a clustering-based machine learning(ML)framework to enhance the stability of EPS networks by suppressing LFOs through real-time tuning of key power system stabilizer(PSS)parameters.To validate the proposed strategy,two distinct EPS networks are selected:the single-machine infinite-bus(SMIB)with a single-stage PSS and the unified power flow controller(UPFC)coordinated SMIB with a double-stage PSS.To generate data under various loading conditions for both networks,an efficient but offline meta-heuristic algorithm,namely the grey wolf optimizer(GWO),is used,with the loading conditions as inputs and the key PSS parameters as outputs.The generated loading conditions are then clustered using the fuzzy k-means(FKM)clustering method.Finally,the group method of data handling(GMDH)and long short-term memory(LSTM)ML models are developed for clustered data to predict PSS key parameters in real time for any loading condition.A few well-known statistical performance indices(SPI)are considered for validation and robustness of the training and testing procedure of the developed FKM-GMDH and FKM-LSTM models based on the prediction of PSS parameters.The performance of the ML models is also evaluated using three stability indices(i.e.,minimum damping ratio,eigenvalues,and time-domain simulations)after optimally tuned PSS with real-time estimated parameters under changing operating conditions.Besides,the outputs of the offline(GWO-based)metaheuristic model,proposed real-time(FKM-GMDH and FKM-LSTM)machine learning models,and previously reported literature models are compared.According to the results,the proposed methodology outperforms the others in enhancing the stability of the selected EPS networks by damping out the observed unwanted LFOs under various loading conditions. 展开更多
关键词 Fuzzy k-means clustering grey wolf optimizer group method of data handling long short-term memory low-frequency oscillation power system stabilizer single machine infinite bus stability unified power flow controller
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Optimal reactive power planning in an industrial microgrid:a case study of Urmia Petrochemical plant 认领 引用
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作者 Maryam Majidzadeh Mostafa Esmaeeli +2 位作者 Hadi Afkar Sajjad Golshannavaz Zhiyi Li 《Global Energy Interconnection》 EI CSCD 2026年第1期208-218,共11页
In real industrial microgrids(MGs),the length of the primary delivery feeder to the connection point of the main substation is sometimes long.This reduces the power factor and increases reactive power absorption along... In real industrial microgrids(MGs),the length of the primary delivery feeder to the connection point of the main substation is sometimes long.This reduces the power factor and increases reactive power absorption along the primary delivery feeder from the external network.Besides,the giant induction electro-motors as the working horse of industries requires remarkable amounts of reactive power for electro-mechanical energy conversions.To reduce power losses and operating costs of the MG as well as to improve the voltage quality,this study aims at providing an insightful model for optimal placement and sizing of reactive power compensation capacitors in an industrial MG.In the presented model,the objective function considers voltage profile and network power factor improvement at the MG connection point.Also,it realizes power flow equations within which all operational security constraints are considered.Various reactive power compensation strategies including distributed group compensation,centralized compensation at the main substation,and distributed compensation along the primary delivery feeder are scrutinized.A real industrial MG,say as Urmia Petrochemical plant,is considered in numerical validations.The obtained results in each scenario are discussed in depth.As seen,the best performance is obtained when the optimal location and sizing of capacitors are simultaneously determined at the main buses of the industrial plants,at the main substation of the MG,and alongside the primary delivery feeder.In this way,74.81%improvement in power losses reduction,1.3%lower active power import from the main grid,23.5%improvement in power factor,and 37.5%improvement in network voltage deviation summation are seen in this case compared to the base case. 展开更多
关键词 Reactive power compensation Shunt capacitor Optimal placement and sizing Voltage profile improvement Power factor correction
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Researches on Low-Carbon Development Pathways for Provincial Power Systems from the Perspective of Carbon Emission Factor 认领 引用
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作者 Yang Li Xianfu Gong +3 位作者 Sifan Chen Yi Lei Donghui Zhang Yue Xing 《Energy Engineering》 EI 2026年第4期382-403,共22页
This paper develops an innovative computational model for assessing the Carbon Emission Factor(CEF)of provincial power systems that incorporates inter-provincial electricity transfers and hybrid generation portfolios ... This paper develops an innovative computational model for assessing the Carbon Emission Factor(CEF)of provincial power systems that incorporates inter-provincial electricity transfers and hybrid generation portfolios combining conventional and renewable sources.A key contribution lies in evaluating how deep regulation of thermal power plants influence the carbon intensity of coal-fired generation and coal-fired generation together with high penetration renewables.Furthermore,the study quantitatively analyzes the role of renewable energy consumption and the prospective application of Carbon Capture and Storage(CCS)in reducing system-wide CEF.Based on this framework,the paper proposes phased carbon emission targets for Guangdong’s power system for key milestone years(2030,2045,2060),along with targeted implementation strategies.Results demonstrate that in renewable-dominant systems,deep regulation of thermal units,load peak-shaving,and deployment of flexible resources such as energy storage are effective in cutting carbon intensity.To achieve the defined targets—0.367 kg/kWh by 2030,0.231 kg/kWh by 2045,and 0.032 kg/kWh by 2060—the following innovation-focused policy is recommended:in early stage,mainly on expansion of renewable capacity and inter-provincial transmission infrastructure along with energy storage deployment;in mid-term,mainly on enhancement of electricity market mechanisms to promote green power trading and demand-side flexibility;and in late-stage,mainly on systematic retirement of conventional coal assets coupled with large-scale CCS adoption and carbon sink mechanisms. 展开更多
关键词 Carbon emission factor power system renewable energy consumption thermal power flexibility CCS demand-side response
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A Double-Time-Scale Dynamic Reactive Power Optimization Method for the AC/DC Hybrid Power Grid Incorporating UPFC 认领 引用
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作者 Wei Yin Jun Wang +5 位作者 Ming Tong Zhijun Chen Ke Zhang Meiqing Huang Ran Gu Keman Lin 《Energy Engineering》 EI 2026年第7期123-149,共27页
With the high penetration of renewable energy and the rapid development of AC/DC(Alternating Current/Direct Current)hybrid power grid,the power grid is confronted with challenges such as frequent voltage fluctuations ... With the high penetration of renewable energy and the rapid development of AC/DC(Alternating Current/Direct Current)hybrid power grid,the power grid is confronted with challenges such as frequent voltage fluctuations and insufficient dynamic reactive power reserves.Full utilization of unified power flow controller(UPFC)in dynamic voltage regulation is of great significance for mitigating voltage excursions of the power grid.This paper proposes a double-time-scale dynamic reactive power optimization method for the AC/DC hybrid power grid with UPFC.A control framework for reactive power optimization of slow-time-scale and fast-time-scale is constructed incorporating the LCC-HVDC and UPFC.In this method,the slow-time-scale aims to improve the voltage profiles and reduce the system cost by setting the voltage regulation weight coefficients based on trajectory sensitivity to preserve reactive power regulation capability.The fast-time-scale adopts an adaptive feedback control mechanism.When slowtime-scale optimization is insufficient to keep the voltage within a safe range,it adjusts the real-time reactive power output of the UPFC,and damps rapid voltage swings accordingly.By implementing the additional fast-time-scale control method,the frequent variations of both the Photovoltaic(PV)and load are managed for the reactive power compensation.Case studies on a modified IEEE-30 bus system demonstrate that compared with the conventional control method,the proposed method reduces the maximum voltage deviation by 3.17%compared to the baseline,while ensuring the economic efficiency. 展开更多
关键词 AC/DC hybrid power grid UPFC double-time-scale dynamic reactive power optimization trajectory sensitivity
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Development of an antenna adjustable fundamental power coupler for the 81.25 MHz superconducting cavity at the High Intensity Heavy‑Ion Accelerator Facility 认领 引用
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作者 Guo‑Chang Liu Tian‑Cai Jiang +9 位作者 Zong‑Heng Xue Ji‑Yu Wang Ke‑An Jin Meng‑Xin Xu Zhou‑Li Zhang Chun‑Long Li Qi‑Tong Huang Sheng‑Xue Zhang Sheng‑Hu Zhang Yuan He 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第7期1-17,共17页
The Institute of Modern Physics(IMP)of the Chinese Academy of Sciences(CAS)has designed and prototyped fundamental power couplers for 81.25 MHz superconducting quarter-wave resonators(QWR)in the High-Intensity Heavy-I... The Institute of Modern Physics(IMP)of the Chinese Academy of Sciences(CAS)has designed and prototyped fundamental power couplers for 81.25 MHz superconducting quarter-wave resonators(QWR)in the High-Intensity Heavy-Ion Accelerator Facility(HIAF).The QWR coupler operates in the pulsed or continuous-wave mode with an average power of 6 kW.This coupler is designed with a 50Ωcoaxial structure and a dual-disk warm-window assembly.Focusing on the optimized heat leakage,a double-walled structure is applied to the outer conductor of the coupler for helium gas cooling at 5 K.To suppress multipacting(MP),a 10-nm titanium nitride(TiN)coating is applied to the vacuum side of the ceramic window,whereas a DC bias voltage is applied to the inner conductor.To reduce the production cost of the coupler and make it suitable for mass production,various coupler fabrication materials were tested,and the feasibility of the fabrication process was verified.The coupler includes two types of diagnostic ports for vacuum and ARC monitoring.Two prototype couplers were fabricated and tested for high-power conditioning.The QWR couplers proved their robustness with 10 h of 9 kW traveling-wave conditioning and 12 h of 9 kW standing wave conditioning,achieving a stabilized 9 kW power level and a stable vacuum.As predicted,MP barriers were encountered at input powers ranging from 1 kW to 9 kW,and a DC bias voltage of 800 V effectively suppressed the occurrence of MP. 展开更多
关键词 81.25 MHz fundamental power coupler Superconducting quarter-wave resonator High-power conditioning
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Adaptive Grid-Interface Control for Power Coordination in Multi-Microgrid Energy Networks 认领 引用
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作者 Sk.A.Shezan 《Energy Engineering》 EI 2026年第1期91-114,共24页
Modern power systems increasingly depend on interconnected microgrids to enhance reliability and renewable energy utilization.However,the high penetration of intermittent renewable sources often causes frequency devia... Modern power systems increasingly depend on interconnected microgrids to enhance reliability and renewable energy utilization.However,the high penetration of intermittent renewable sources often causes frequency deviations,voltage fluctuations,and poor reactive power coordination,posing serious challenges to grid stability.Conventional Interconnection FlowControllers(IFCs)primarily regulate active power flowand fail to effectively handle dynamic frequency variations or reactive power sharing in multi-microgrid networks.To overcome these limitations,this study proposes an enhanced Interconnection Flow Controller(e-IFC)that integrates frequency response balancing and an Interconnection Reactive Power Flow Controller(IRFC)within a unified adaptive control structure.The proposed e-IFC is implemented and analyzed in DIgSILENT PowerFactory to evaluate its performance under various grid disturbances,including frequency drops,load changes,and reactive power fluctuations.Simulation results reveal that the e-IFC achieves 27.4% higher active power sharing accuracy,19.6% lower reactive power deviation,and 18.2% improved frequency stability compared to the conventional IFC.The adaptive controller ensures seamless transitions between grid-connected and islanded modes and maintains stable operation even under communication delays and data noise.Overall,the proposed e-IFCsignificantly enhances active-reactive power coordination and dynamic stability in renewable-integrated multi-microgrid systems.Future research will focus on coupling the e-IFC with tertiary-level optimization frameworks and conducting hardware-in-the-loop validation to enable its application in large-scale smart microgrid environments. 展开更多
关键词 Active power flow control interconnection flow controller(IFC) frequency response micro grid stability reactive power management
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Critical Review of Intelligent Coal-Fired Power Technologies and Applications 认领 引用 被引量：2
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作者 Jizhen Liu Zhongming Du +2 位作者 Qinghua Wang Kaijun Jiang Dan Gao 《Engineering》 SCIE EI CSCD 2026年第4期42-59,共18页
With the rapid expansion of renewable energy systems,particularly wind and solar energy,coal-fired power plants(CFPPs)are expected to serve as flexible and dispatchable backup resources.This evolving role imposes new ... With the rapid expansion of renewable energy systems,particularly wind and solar energy,coal-fired power plants(CFPPs)are expected to serve as flexible and dispatchable backup resources.This evolving role imposes new demands on their operational adaptability,efficiency,and intelligence.In this context,the intelligent transformation of CFPPs has become a key enabler for achieving both flexible operations and long-term sustainability.This paper provides a comprehensive review of the latest developments in intelligent coal-fired power technologies,focusing on three critical pillars:intelligent perception,intelligent control,and intelligent operation.Key enabling technologies,such as ubiquitous sensing systems,advanced control algorithms,and automated operation platforms,are examined in detail.Additionally,two representative engineering cases are introduced to demonstrate practical applications and benefits:the intelligent control of coal-fired units coupled with novel energy-storage systems and the implementation of unmanned operation in smart power plants.These projects highlight the transformative potential of intelligent technologies in enhancing the flexibility,efficiency,and autonomy of coal-fired power units.Finally,future perspectives on intelligent technologies are presented.The findings of this study offer valuable insights into the pathway toward clean,flexible,and intelligent coal-based power generation in an evolving energy landscape. 展开更多
关键词 Coal-fired power plant Peak shaving Intelligent perception Intelligent control Intelligent operation
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Developing Flue Gas-Driven Molten-Salt-Heat-Exchanger for Flexible Operation of Coal-Fired Power Plant 认领 引用 被引量：1
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作者 Jinliang Xu Hongliang Su +14 位作者 Xinyu Dong Xiongjiang Yu Chao Liu Yan Wang Jian Xie Wei Wang Yupu Yu Qinghua Wang Yuguang Niu Jizhen Liu Ying Huang Zhengshun Zhang Anyou Dong Yan Pan Hao Wu 《Engineering》 SCIE EI CSCD 2026年第4期256-270,共15页
The large-scale utilization of renewable energy challenges the stability and safety of the grid;thus,the flexibility of coal-fired power plants should be increased to balance unstable renewable energies.To achieve thi... The large-scale utilization of renewable energy challenges the stability and safety of the grid;thus,the flexibility of coal-fired power plants should be increased to balance unstable renewable energies.To achieve this,a heat storage system(HSS)is integrated into a power plant.This is the first study utilizing furnace flue gas to drive a molten-salt-heat-exchanger(MSHE).Compared to steam-vapor-driven MSHE,flue gas-driven technology avoids the pinch temperature limitation(PTL)and simplifies the system configuration.In this study,we demonstrate the concept,design,fabrication,and experiments of the MSHE.The novelties include:①finned tubes to balance the thermal resistances between the flue gas side and the molten salt side;②a weak angle design to ensure gravity-driven recession of the molten salt;and③a modular design to ensure even temperature distribution at the outlet of the tube bundles.A heat transfer correlation is developed for molten salt,covering a wide range of Reynolds numbers.An experimental setup is constructed to collect data and verify the effectiveness of the MSHE.The measured overall heat transfer coefficients matched the predictions well,with deviations of less than 10%.The measured heat power reached 320 kW,exceeding the 300 kW design target.We demonstrate the heat transfer between the flue gas and molten salt to compensate for the heat release from the HSS to the environment,reducing electricity consumption in the standby stage of the system.The modular design of the MSHE ensures minimal temperature deviations of<4 K among different tubes,avoiding local overheating-induced decomposition of the molten salt.Based on the 300 kW MSHE results,a 10 MW MSHE is designed,fabricated,and integrated into a 350 megawatt electric(MWe)coal-fired plant to achieve a higher load variation rate of 6%Pe·min-1 for a coal-fired power plant. 展开更多
关键词 Heat storage Molten-salt-heat-exchanger Heat transfer coefficient Flexibility Coal-fired power plant
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DOEP Framework for Photovoltaic Power Prediction 认领 引用 被引量：1
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作者 Yung-Yao Chen Desri Kristina Silalahi +1 位作者 Atinkut Atinafu Yilma Chao-Lung Yang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第2期665-690,共26页
Accurate photovoltaic(PV)power generation forecasting is essential for the efficient integration of renewable energy into power grids.However,the nonlinear and non-stationary characteristics of PV power signals,driven... Accurate photovoltaic(PV)power generation forecasting is essential for the efficient integration of renewable energy into power grids.However,the nonlinear and non-stationary characteristics of PV power signals,driven by fluctuating weather conditions,pose significant challenges for reliable prediction.This study proposes a DOEP(Decomposition–Optimization–Error Correction–Prediction)framework,a hybrid forecasting approach that integrates adaptive signal decomposition,machine learning,metaheuristic optimization,and error correction.The PV power signal is first decomposed using CEEMDAN to extract multi-scale temporal features.Subsequently,the hyperparameters and window sizes of the LSSVM are optimized using a Segment-based EBQPSO strategy.The main novelty of the proposed DOEP framework lies in the incorporation of Segment-based EBQPSO as a structured optimization mechanism that balances elite exploitation and population diversity during LSSVM tuning within the CEEMDAN-based forecasting pipeline.This strategy effectively mitigates convergence instability and sensitivity to initialization,which are common limitations in existing hybrid PV forecasting models.Each IMF is then predicted individually and aggregated to generate an initial forecast.In the error-correction stage,the residual error series is modeled using LSTM,and the final prediction is obtained by combining the initial forecast with the predicted error component.The proposed framework is evaluated using two PV power plant datasets with different levels of complexity.The results demonstrate that DOEP consistently outperforms benchmark models across multiple error-based and goodness-of-fit metrics,achieving MSE reductions of approximately 15%–60%on the ResPV-BDG dataset and 37%–92%on the NREL dataset.Analyses of predicted vs.observed values and residual distributions further confirm the superior calibration and robustness of the proposed approach.Although the DOEP framework entails higher computational costs than single model methods,it delivers significantly improved accuracy and stability for PV power forecasting under complex operating conditions. 展开更多
关键词 Hybrid forecasting photovoltaic power decomposition adaptive noise
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Cost effective technologies for long range microwave wireless power transmission 认领 引用
14
作者 CHOI Joon-Min KIM Dae-Kwan +3 位作者 PARK Durk-Jong YI Sang-Hwa KIM Dong-Min KO Dae-Ho 《中国空间科学技术（中英文）》 CSCD 北大核心 2026年第1期122-134,共13页
Space-Based Solar Power(SBSP) presents a promising solution for achieving carbon neutrality and Renewable Electricity 100%(RE100) goals by offering a stable and continuous energy supply. However, its commercialization... Space-Based Solar Power(SBSP) presents a promising solution for achieving carbon neutrality and Renewable Electricity 100%(RE100) goals by offering a stable and continuous energy supply. However, its commercialization faces significant obstacles due to the technical challenges of long-distance microwave Wireless Power Transmission(WPT) from geostationary orbit. Even ground-based kilometer-scale WPT experiments remain difficult because of limited testing infrastructure, high costs, and strict electromagnetic wave regulations. Since the 1975 NASA-Raytheon experiment, which successfully recovered 30 kW of power over 1.55 km, there has been little progress in extending the transmission distance or increasing the retrieved power. This study proposes a cost-effective methodology for conducting long-range WPT experiments in constrained environments by utilizing existing infrastructure. A deep space antenna operating at 2.08 GHz with an output power of 2.3 kW and a gain of 55.3 dBi was used as the transmitter. Two test configurations were implemented: a 1.81 km ground-to-air test using an aerostat to elevate the receiver and a 1.82 km ground-to-ground test using a ladder truck positioned on a plateau. The rectenna consists of a lightweight 3×3 patch antenna array(0.9 m × 0.9 m), accompanied by a steering device and LED indicators to verify power reception. The aerostat-based test achieved a power density of 154.6 mW/m2, which corresponds to approximately 6.2% of the theoretical maximum. The performance gap is primarily attributed to near-field interference, detuning of the patch antenna, rectifier mismatch, and alignment issues. These limitations are expected to be mitigated through improved patch antenna fabrication, a transition from GaN to GaAs rectifiers optimized for lower input power, and the implementation of an automated alignment system. With these enhancements, the recovered power is expected to improve by approximately four to five times. The results demonstrate a practical and scalable framework for long-range WPT experiments under constrained conditions and provide key insights for advancing SBSP technology. 展开更多
关键词 wireless power transmission space-based solar power deep space antenna DSP KDSA KARI rectenna aerostat
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Dynamic Boundary Optimization via IDBO-VMD:A Novel Power Allocation Strategy for Hybrid Energy Storage with Enhanced Grid Stability 认领 引用 被引量：1
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作者 Zujun Ding Qi Xiang +10 位作者 Chengyi Li Mengyu Ma Chutong Zhang Xinfa Gu Jiaming Shi Hui Huang Aoyun Xia Wenjie Wang Wan Chen Ziluo Yu Jie Ji 《Energy Engineering》 EI 2026年第1期527-552,共26页
In order to address environmental pollution and resource depletion caused by traditional power generation,this paper proposes an adaptive iterative dynamic-balance optimization algorithm that integrates the Improved D... In order to address environmental pollution and resource depletion caused by traditional power generation,this paper proposes an adaptive iterative dynamic-balance optimization algorithm that integrates the Improved Dung Beetle Optimizer(IDBO)with VariationalMode Decomposition(VMD).The IDBO-VMD method is designed to enhance the accuracy and efficiency of wind-speed time-series decomposition and to effectively smooth photovoltaic power fluctuations.This study innovatively improves the traditional variational mode decomposition(VMD)algorithm,and significantly improves the accuracy and adaptive ability of signal decomposition by IDBO selfoptimization of key parameters K and a.On this basis,Fourier transform technology is used to define the boundary point between high frequency and low frequency signals,and a targeted energy distribution strategy is proposed:high frequency fluctuations are allocated to supercapacitors to quickly respond to transient power fluctuations;Lowfrequency components are distributed to lead-carbon batteries,optimizing long-term energy storage and scheduling efficiency.This strategy effectively improves the response speed and stability of the energy storage system.The experimental results demonstrate that the IDBO-VMD algorithm markedly outperforms traditional methods in both decomposition accuracy and computational efficiency.Specifically,it effectively reduces the charge–discharge frequency of the battery,prolongs battery life,and optimizes the operating ranges of the state-of-charge(SOC)for both leadcarbon batteries and supercapacitors.In addition,the energy management strategy based on the algorithm not only improves the overall energy utilization efficiency of the system,but also shows excellent performance in the dynamic management and intelligent scheduling of renewable energy generation. 展开更多
关键词 Energy efficiency hybrid energy storage system intelligent algorithm power fluctuation mitigation renewable energy
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Comparison of Physical,Gaussian Process,and Physics-Informed Gaussian Process Models for Wind Turbine Power Curve Estimation 认领 引用
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作者 Samuel Martínez-Gutiérrez Carlos Gutiérrez +2 位作者 Alejandro Merino Diego García-Álvarez Daniel Sarabia 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第6期695-717,共23页
Accuratemodelling of power production in wind power systems is essential for optimizing their real-time operation and meeting technical or economic objectives.However,the precisemodelling of wind turbine power output ... Accuratemodelling of power production in wind power systems is essential for optimizing their real-time operation and meeting technical or economic objectives.However,the precisemodelling of wind turbine power output remains challenging,particularly when relying on conventional parametric models,which often struggle to capture complex or non-linear behaviors.This paper compares three modelling approaches to estimate the power produced by a real wind turbine(a Senvion MM82/2050 located in France):one parametric,based on analytical expressions of the power coefficient CP(λ,β);another nonparametric,which uses Gaussian processes(GP)to probabilistically model the relationship between operating variables and the power generated;and a third semiparametric approach,which uses a physics-informed GP that explicitly incorporates the wind conversion model based on the power coefficient CP(λ,β)within the Gaussian process as a mean function.Parametric models are efficient,interpretable,and useful when the underlying system model is known;however,they exhibit less predictive power in the face of complex behavior.In contrast,GPs offer greater flexibility,quantify uncertainty,and adapt to complex patterns in the data;however,their extrapolation outside the training range is limited and can lead to erroneous or even physically impossible predictions.The physics-informed GP integrates physical knowledge about the conversion of wind speed to power,improving the estimations outside the training range.Four model estimation procedures were performed using real data obtained from the SCADA system:the first one,retrieves the parameters of the power coefficient Cp from the physical model;the second estimates the hyperparameters of the GP;the third simultaneously estimates both the Gaussian process hyperparameters and the power coefficient parameters of the physics-informed GP;and the fourth computes only the hyperparameters of the physics-informed GP,keeping the optimal power coefficient parameters obtained in the first procedure.The fitting results were analyzed using the Root Mean Square Error(RMSE)and Mean Absolute Error(MAE)as metrics,as well as the time required for fittingraining.The results show that the parametric approach has a lower predictive capacity than the GP and physics-informed GP.The latter has an RMSE that is slightly lower than that of the standard GP and makes more accurate predictions in regions with limited or no data availability.The results also show a trade-off between accuracy and computational efficiency,the physics-informed GP has a training time considerably longer than that of the other twomodels,nevertheless,it is a valuable tool when prediction robustness is a priority.Finally,the results highlight the need to include additional explanatory variables to better capture the observed dispersion and the effect of the high short-term variability of the 1-min SCADA measurements on model fitting. 展开更多
关键词 Wind turbine power curve wind turbine power coefficient physical model Gaussian processes physicsinformed machine learning
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Bridgeless SEPIC-based AC-DC converter for compact inverter and low-power AC drive applications 认领 引用
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作者 Khaled A.Mahafzah Mohamad A.Obeidat +1 位作者 Ali Q.Al-Shetwi Taha Selim Ustun 《Journal of Electronic Science and Technology》 EI CAS CSCD 2026年第2期27-37,共11页
In this work,an efficient AC-DC converter based on a bridgeless single-ended primary inductor converter(SEPIC)is proposed.Composed of only two antiseries switches,two diodes,two inductors,and one coupling capacitor,SE... In this work,an efficient AC-DC converter based on a bridgeless single-ended primary inductor converter(SEPIC)is proposed.Composed of only two antiseries switches,two diodes,two inductors,and one coupling capacitor,SEPIC has two different voltage outputs with inverted polarities,which makes it simpler and more attractive than the existing ones.More importantly,each output voltage can be individually adjusted by two different control loops,thus contributing to two different and independent duty cycles.With no need for a front-end diode bridge rectifier(DBR),its efficiency is enhanced.The simulation results on MATLAB/Simulink successfully validate that the converter is capable of supplying an output current in both directions.By connecting two independent loads to the output terminals,each with load characteristics of 100 V,200 W,and 2 A which fit well with the application requirements of Fuji compact inverters,stable output voltages with a voltage ripple lower than 4.2% were obtained.The operating efficiency under rated load conditions was 95%,resulting in a 10% reduction in DBR usage.Moreover,the envelope of the input line current closely resembled the standard sine wave with a total harmonics distortion(THD)of 2.00%,while the AC load current had a THD of 6.89%,both within standard limits. 展开更多
关键词 AC drive applications Bridgeless power factor correction High voltage DC grid and photovoltaic inverter Low power Single-ended primary inductor converter
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Optimal Dispatch of Urban Distribution Networks Considering Virtual Power Plant Coordination under Extreme Scenarios 认领 引用
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作者 Yong Li Yuxuan Chen +4 位作者 Jiahui He Guowei He Chenxi Dai Jingjing Tong Wenting Lei 《Energy Engineering》 EI 2026年第1期204-220,共17页
Ensuring reliable power supply in urban distribution networks is a complex and critical task.To address the increased demand during extreme scenarios,this paper proposes an optimal dispatch strategy that considers the... Ensuring reliable power supply in urban distribution networks is a complex and critical task.To address the increased demand during extreme scenarios,this paper proposes an optimal dispatch strategy that considers the coordination with virtual power plants(VPPs).The proposed strategy improves systemflexibility and responsiveness by optimizing the power adjustment of flexible resources.In the proposed strategy,theGaussian Process Regression(GPR)is firstly employed to determine the adjustable range of aggregated power within the VPP,facilitating an assessment of its potential contribution to power supply support.Then,an optimal dispatch model based on a leader-follower game is developed to maximize the benefits of the VPP and flexible resources while guaranteeing the power balance at the same time.To solve the proposed optimal dispatch model efficiently,the constraints of the problem are reformulated and resolved using the Karush-Kuhn-Tucker(KKT)optimality conditions and linear programming duality theorem.The effectiveness of the strategy is illustrated through a detailed case study. 展开更多
关键词 Urban distribution network virtual power plant power supply support leader-follower optimization game extreme weather scenarios
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A Composite Multi-Port Hybrid DC Circuit Breaker with DC Power Flow and Fault Current Limitation Abilities 认领 引用
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作者 Xiaoya Chen Chao Zhang +5 位作者 Xufeng Yuan Wei Xiong Zhiyang Lu Huajun Zheng Yutao Xu Zhukui Tan 《Energy Engineering》 EI 2026年第3期306-325,共20页
To address the issues of high costs and low component utilization caused by the independent configuration of hybrid DC circuit breakers(HCBs)and DC power flow controllers(DCPFCs)at each port in existing DC distributio... To address the issues of high costs and low component utilization caused by the independent configuration of hybrid DC circuit breakers(HCBs)and DC power flow controllers(DCPFCs)at each port in existing DC distribution networks,this paper adopts a component sharing mechanism to propose a composite multi-port hybrid DC circuit breaker(CM-HCB)with DC power flow and fault current limitation abilities,as well as reduced component costs.The proposed CM-HCB topology enables the sharing of the main breaker branch(MB)and the energy dissipation branch,while the load commutation switches(LCSs)in the main branch are reused as power flow control components,enabling flexible regulation of power flow in multiple lines.Meanwhile,by reconstructing the current path during the fault process,the proposed CM-HCB can utilize the internal coupled inductor to limit the current rise rate at the initial stage of the fault,significantly reducing the requirement for breaking current.A detailed study on the topological structure,steady-state power flow regulation mechanism,transient fault isolation mechanism,control strategy and characteristic analysis of the proposed CM-HCB is presented.Then,a Matlab/Simulink-based meshed three-terminal DC grid simulation platform with the proposed CM-HCB is built.The results indicate that the proposed CM-HCB can not only achieve flexible power flow control during steady-state operation,but also obtain current rise limitation and fault isolation abilities under short-circuit fault conditions,verifying its correctness and effectiveness.Finally,a comparative economic analysis is conducted between the proposed CM-HCB and the other two existing solutions,confirming that its component sharing mechanism can significantly reduce the number of components,lower system costs,and improve component utilization. 展开更多
关键词 DC power grid DC power flow control fault current limiting fault isolation hybrid DC circuit breaker
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