期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到7,543篇文章
< 1 2 … 250 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Hierarchical Coordinated Optimization Control Strategy for Electricity-Hydrogen DC Microgrid System 认领 引用
1
作者 Xinhao Lin Lei Yu +4 位作者 Shuyin Duan Yinliang Liu Lvzerui Yuan Xiao Chen Yiqing Lian 《Energy Engineering》 EI 2026年第6期247-269,共23页
To address the operational challenges posed by renewable energy generation uncertainty and load fluctuations in DC microgrids,this paper proposes a hierarchical coordinated optimization control strategy for electricit... To address the operational challenges posed by renewable energy generation uncertainty and load fluctuations in DC microgrids,this paper proposes a hierarchical coordinated optimization control strategy for electricity-hydrogen hybrid DC microgrids(EH-DC-MG).The strategy aims to leverage the synergistic advantages of hybrid electricity-hydrogen energy storage to simultaneously achieve multiple objectives,including economic system operation,efficient utilization of renewable energy,and reliable power supply.The upper optimization scheduling layer formulates a mixed-integer linear programming model with the objective of minimizing the total system cost,which incorporates equipment operation and maintenance expenses,battery depreciation,penalties for renewable energy curtailment,and power/hydrogen supply shortages.By solving this model,optimal power reference signals are generated for devices.The lower device control layer employs designed DC/DC converter control strategies to ensure fast and accurate tracking of the optimization commands while maintaining DC bus voltage stability.Simulation results demonstrate that the proposed strategy can effectively coordinate electricity-hydrogen energy conversion and storage.Under various typical and extreme scenarios,the system maintains a high renewable energy utilization rate—remaining above 97.572%even under extreme conditions—while keeping the power shortage rate and hydrogen load curtailment rate at low levels.Specifically,under extreme power deficit scenarios,these rates are limited to 2.003%and 5.081%,respectively,which are significantly below the 10%quality constraint threshold,thereby ensuring a high degree of supply reliability.In addition,the DC bus voltage fluctuation is stabilized within 0.37%,far below the 5%safety operation threshold,validating the effectiveness of the control strategy.This study confirms that the proposed hierarchical coordinated optimization control strategy can support electricity-hydrogen hybrid DC microgrids in achieving economical,reliable,and resilient operation,providing a key technical reference for the optimized management of microgrids with high penetration of renewable energy. 展开更多
关键词 Electric-hydrogen DC microgrid coordinated optimization control strategy
暂未订购 下载PDF
An intra-string distributed and inter-string decentralized control method for hybrid series-parallel microgrids 认领 引用
2
作者 Xiaochao Hou Jiatong He +3 位作者 Changgeng Li Zexiong Wei Kai Sun Yunwei Li 《iEnergy》 EI 2026年第1期30-42,共13页
The hybrid series-parallel microgrid attracts more attention by combining the advantages of both the series-stacked voltage and parallel-expanded capacity.Low-voltage distributed generations(DGs)are connected in serie... The hybrid series-parallel microgrid attracts more attention by combining the advantages of both the series-stacked voltage and parallel-expanded capacity.Low-voltage distributed generations(DGs)are connected in series to form the intra-string,and then multiple strings are interconnected in parallel.For the existing control strategies,both intra-string and inter-string depend on the centralized or distributed control with high communication reliance.It has limited scalability and redundancy under abnormal conditions.Alternatively,in this study,an intra-string distributed and inter-string decentralized control framework is proposed.Within the string,a few DGs close to the AC bus are the leaders to get the string power information and the rest DGs are the followers to acquire the synchronization information through the droop-based distributed consistency.Specifically,the output of the entire string has the active power−angular frequency(ω-P)droop characteristic,and the decentralized control among strings can be autonomously guaranteed.Moreover,the secondary control is designed to realize multi-mode objectives,including on/off-grid mode switching,grid-connected power interactive management,and off-grid voltage quality regulation.As a result,the proposed method has the ability of plug-and-play capabilities,single-point failure redundancy,and seamless mode-switching.Experimental results are provided to verify the effectiveness of the proposed practical solution. 展开更多
关键词 Hybrid series-parallel microgrid Distributed control Decentralized control Power inverter
暂未订购 下载PDF
Transient Voltage Control for AC-DC Hybrid Power System Based on ISAO-CNN-BiGRU 认领 引用
3
作者 Xueting Cheng Rui Xu +3 位作者 Liming Bo Cheng Liu Huiping Zheng Zhichong Cao 《Energy Engineering》 EI 2026年第4期214-246,共33页
To address the issue of transient low-voltage instability in AC-DC hybrid power systems following large disturbances,conventional voltage assessment and control strategies typically adopt a sequential“assess-then-act... To address the issue of transient low-voltage instability in AC-DC hybrid power systems following large disturbances,conventional voltage assessment and control strategies typically adopt a sequential“assess-then-act”paradigm,which struggles to simultaneously meet the requirements for both high accuracy and rapid response.This paper proposes a transient voltage assessment and control method based on a hybrid neural network incorporated with an improved snow ablation optimization(ISAO)algorithm.The core innovation of the proposed method lies in constructing an intelligent“physics-informed and neural network-integrated”framework,which achieves the integration of stability assessment and control strategy generation.Firstly,to construct a highly correlated input set,response characteristics reflecting the system’s voltage stable/unstable states are screened.Simultaneously,the transient voltage severity index(TVSI)is introduced as a comprehensive metric to quantify the system’s post-disturbance transient voltage performance.Furthermore,the load bus voltage sensitivity index(LVSI)is defined as the ratio of the voltage change magnitude at a load node(or bus)to the change in the system-level TVSI,thereby pinpointing the response characteristics of critical load nodes.Secondly,both the transient voltage stability assessment result and its corresponding under-voltage load shedding(UVLS)control amount are jointly utilized as the outputs of the response-driven model.Subsequently,the snow ablation optimization(SAO)algorithm is enhanced using a good point set strategy and a Gaussian mutation strategy.This improved algorithm is then employed to optimize the key hyperparameters of the hybrid neural network.Finally,the superiority of the proposed method is validated on a modified CEPRI-36 system and an actual power grid case.Comparisons with various artificial intelligence methods demonstrate its significant advantages in model speed and accuracy.Additionally,when compared to traditional emergency control schemes and UVLS strategies,the proposed method exhibits exceptional rapidness and real-time capability in control decision-making. 展开更多
关键词 Transient voltage stability voltage control AC-DC hybrid power system improved snow ablation optimization hybrid neural network
暂未订购 下载PDF
Boundary Decision-Based Multi-Objective Robust Optimization for Microgrid Dispatching 认领 引用
4
作者 Junjian Wu Jingliao Sun +2 位作者 Yejun Xiang Zhenyu Zhou Zhengchai Shi 《Energy Engineering》 EI 2026年第7期404-423,共20页
The inherent unpredictability of renewable energy generation poses significant challenges to the reliable and economic dispatch of grid-connected microgrids.In response,this paper proposes a novel robust optimization ... The inherent unpredictability of renewable energy generation poses significant challenges to the reliable and economic dispatch of grid-connected microgrids.In response,this paper proposes a novel robust optimization strategy grounded in uncertain boundary decision-making and enhanced through innovations in the multi-objective cross-entropy method.An uncertainty budget-aware environmental economic dispatch model is first established,integrating photovoltaic and wind power generation.By employing mathematical sophistication-particularly Lagrangian transformation-the proposed method effectively resolves embedded uncertainties,transforming the original model into a deterministic multi-objective optimization framework robust against renewable energy volatility.Furthermore,by incorporating the dynamic operational demands of microgrids,this paper culminates in a robust optimization approach that is both fundamentally based on and adaptively responsive to uncertainty boundaries.To address the critical challenges of convergence and diversity in multi-objective optimization,crossover operators and an adaptive parameter update mechanism are introduced,significantly refining the conventional multi-objective cross-entropy algorithm.Case studies demonstrate the rationality and effectiveness of the proposed dispatch strategy and corroborate the superior performance and applicability of the enhanced algorithm. 展开更多
关键词 Microgrid environmental economic dispatch uncertain boundary robust optimization multi-objective cross entropy algorithm
暂未订购 下载PDF
Microgrid Scheduling with the Participation of Electric Vehicles under Extreme Weather Conditions 认领 引用
5
作者 Zujun Ding Zhi Liu +7 位作者 Peng Huang Yuhan Qian Chengyi Li Zizhuo Yu Hui Huang Baolian Liu Wan Chen Jie Ji 《Energy Engineering》 EI 2026年第6期363-392,共30页
Under extreme weather conditions(such as hurricanes and heatwaves causing sudden drops in renewable energy output and surges in load),microgrid operations face severe challenges due to the uncertainty of renewable ene... Under extreme weather conditions(such as hurricanes and heatwaves causing sudden drops in renewable energy output and surges in load),microgrid operations face severe challenges due to the uncertainty of renewable energy and load fluctuations.Although existing research has focused on microgrid optimal scheduling or electric vehicle integration,there has not yet been a systematic approach to multi-timescale scheduling that combines electric vehicle fleets under extreme weather scenarios,and particularly,explicit modeling of weather events and their impact on component failure rates and transmission lines is lacking.This paper proposes,for the first time,a multi-timescale optimal scheduling strategy integrated with an electric vehicle fleet,filling this gap.By constructing a microgrid model containing diesel generators,micro gas turbines,renewable energy sources,energy storage,and demand response loads,and defining four typical extreme weather scenarios(high solar&high wind,high solar&low wind,low solar&high wind,low solar&low wind)to simulate the impact of extreme events,a day-ahead and intraday coordinated framework aiming to minimize total operating costs is established.In this framework,the day-ahead stage formulates a preliminary plan based on wind and solar forecasts,while the intraday stage employs the mobile energy storage characteristics of the electric vehicle fleet for rolling adjustments to cope with renewable fluctuations and sudden load changes.Simulations based on actual data from Huai’an City in 2024 show that this strategy can significantly reduce microgrid operating costs(by 5.6%–7.2%),increase renewable energy utilization(94%–96%),reduce carbon emissions(17.8%–22.6%),and enhance the system’s economic performance and resilience under extreme weather conditions. 展开更多
关键词 Microgrid electric vehicle cluster multi-time scale scheduling extreme weather renewable energy absorption optimal operation demand response
暂未订购 下载PDF
双向隔离型AC-DC矩阵变换器最小开关损耗控制方法 认领 引用
6
作者 梅杨 石仪 张家奇 《电工技术学报》 EI CSCD 北大核心 2026年第4期1414-1424,共11页
为了实现双向隔离型AC-DC矩阵变换器(BIMC)的高效运行,该文提出一种最小开关损耗控制方法。基于双线电压调制策略,建立电力电子器件损耗模型,引入基于序列二次规划算法(SQP)的优化方法,以输入功率和移相角范围为限定条件,对开关损耗进... 为了实现双向隔离型AC-DC矩阵变换器(BIMC)的高效运行,该文提出一种最小开关损耗控制方法。基于双线电压调制策略,建立电力电子器件损耗模型,引入基于序列二次规划算法(SQP)的优化方法,以输入功率和移相角范围为限定条件,对开关损耗进行最小化寻优,实时计算最优的移相角组合,并应用于变换器的调制过程,以保证变换器的开关损耗最小。仿真和实验结果表明,采用所提出的控制方法可实现网侧电流为正弦电流,功率因数接近于1,直流侧电压与电流稳定,电流纹波率小于1%,且在较宽功率范围内,变换器效率均维持在94%以上,最高可达到96.89%。相较于传统的控制方法而言,所提方法在宽运行范围中均可以使电力电子器件的损耗最小。 展开更多
关键词 AC-DC矩阵变换器 双线电压调制策略 开关损耗 序列二次规划
暂未订购 下载PDF
隔离型AC-DC矩阵变换器中不规则激励下高频变压器的损耗建模与分析 认领 引用
7
作者 梅杨 石仪 朱妮斯 《电机与控制学报》 EI CSCD 北大核心 2026年第3期144-155,165,共12页
隔离型AC-DC矩阵变换器具有高效率、高功率密度等优势,但其中高频变压器的激励电压/电流呈现高频、时变、不规则等特点,使得其损耗难以精确估计。针对这一难题,首先深入分析其内部作用机理及电磁特性,基于叠加定理提出一种谐波电流的计... 隔离型AC-DC矩阵变换器具有高效率、高功率密度等优势,但其中高频变压器的激励电压/电流呈现高频、时变、不规则等特点,使得其损耗难以精确估计。针对这一难题,首先深入分析其内部作用机理及电磁特性,基于叠加定理提出一种谐波电流的计算方法,在此基础上建立高频变压器的绕组损耗解析模型,同时利用Steinmetz修正公式建立磁心损耗解析模型,最终构建高频变压器损耗的解析模型。为验证所建立高频变压器损耗解析模型的有效性和准确性,基于电路仿真软件MATLAB/Simulink和有限元仿真软件Maxwell构建联合仿真平台,并搭建隔离型AC-DC矩阵变换器的高频变压器实验测试平台。仿真和实验结果表明,所建立解析模型的损耗计算结果与有限元仿真结果之间的误差小于8%,与实验结果的误差小于6%,证明了该损耗解析模型的有效性和准确性。 展开更多
关键词 隔离型AC-DC矩阵变换器 高频变压器 损耗模型 绕组损耗 磁心损耗 联合仿真
暂未订购 下载PDF
A Novel Binary Classification Neural Network Optimized by the Mosquito Mating Swarm Optimization Algorithm for Predicting Microgrid Operational Modes 认领 引用
8
作者 Jesús Aguila-León Carlos Vargas-Salgado +1 位作者 Dácil Díaz-Bello Fabián Lara-Vargas 《Energy Engineering》 EI 2026年第7期150-172,共23页
Integrating renewable energy sources presents technical challenges due to their variable nature,particularly in predicting and managing microgrid operational modes.Accurate identification of grid statesinterconnected ... Integrating renewable energy sources presents technical challenges due to their variable nature,particularly in predicting and managing microgrid operational modes.Accurate identification of grid statesinterconnected or islanded—is essential for maintaining stability and optimizing performance under fluctuating environmental conditions to meet energy demand.This work proposes a bio-inspired,optimized binary classification model based on Multi-Layer Perceptron Artificial Neural Networks(MLP-ANN),with the architecture and hyperparameters tuned using the novel Mosquito Mating Swarm Optimization(MMSO)algorithm,inspired by mosquito mating behavior and swarm dynamics.The model employs an MLP-ANN with a variable number of hidden layers and neurons per layer,configured to maximize classification accuracy by dynamically adjusting parameters,including the learning rate and regularization coefficients.Training utilizes k-fold cross-validation on experimental microgrid data.The MMSO approach is benchmarked against Particle Swarm Optimization(PSO),Genetic Algorithm(GA),and Grey Wolf Optimizer(GWO)to validate its effectiveness.Results show that the MMSO-optimized MLP-ANN achieved an 86.34%recall,98.96%precision,and 92.29%accuracy,while minimizing the Mean Squared Error to 0.0206.The MMSO-optimized MLP-ANN model achieved competitive classification performance compared to the other algorithms evaluated;although no statistically significant differences in recall were observed among the optimizers(p=0.22),the MMSO achieved the lowest MSE(0.0206).The MMSO was the only algorithm capable of discovering a four-layer architecture hidden within the same search space,evidencing superior exploration of deeper architectural regions of the solution space.These findings demonstrate the model's capacity to predict microgrid operational modes under variable conditions,highlighting the potential of integrating bio-inspired algorithms with neural networks for energy management systems.This approach could enhance the efficiency and reliability of integrating renewable energy sources into dynamic energy systems. 展开更多
关键词 Microgrids binary classification deep learning artificial neural network mosquito mating swarm optimizer operational mode prediction
暂未订购 下载PDF
Distributed Load-Sharing and Loss Optimization Within Voltage Safety Constraints for Meshed DC Microgrid 认领 引用
9
作者 Yu Zhang Yan-Wu Wang Xiao-Kang Liu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1518-1520,共3页
Dear Editor,This letter presents anε-exact penalty-based scalarization method to solve the constrained multi-objective optimization problem of load sharing and transmission loss minimization within voltage safety con... Dear Editor,This letter presents anε-exact penalty-based scalarization method to solve the constrained multi-objective optimization problem of load sharing and transmission loss minimization within voltage safety constraints in a meshed direct current(DC)microgrid.A distributed predefined-time optimization algorithm is designed and implemented by deploying consensus-based observers to obtain an optimal solution.The proposed algorithm is verified by simulations and hardware-in-the-loop experiments in cases of load variation,plugand-play,grid change,and by comparative study. 展开更多
关键词 consensus based observers predefined time optimization transmission loss minimization load sharing distributed load sharing voltage safety constraints exact penalty based scalarization meshed DC microgrid
暂未订购 下载PDF
隔离型AC-DC矩阵变换器闭环控制方法研究 认领 引用
10
作者 王晓雷 徐博文 郭飞亚 《电工材料》 CAS 2026年第2期89-95,共7页
针对隔离型AC-DC矩阵变换器因缺少中间直流储能环节导致的输入输出控制耦合问题,提出了一种新的复合控制策略。该策略采用分层控制架构:电压外环采用模型无关的改进型自抗扰控制器(ADRC)实现系统状态全局观测与动态补偿;电流内环则运用... 针对隔离型AC-DC矩阵变换器因缺少中间直流储能环节导致的输入输出控制耦合问题,提出了一种新的复合控制策略。该策略采用分层控制架构:电压外环采用模型无关的改进型自抗扰控制器(ADRC)实现系统状态全局观测与动态补偿;电流内环则运用参数优化后的PI控制器进行精确跟踪。在调制策略层面,基于双极性电流空间矢量调制(BCSVM)机理分析,构建直接控制直流侧输出电流与功率矢量的新型调制算法。为验证控制方案的有效性,基于MATLAB/Simulink仿真平台构建了全数字模型。仿真结果显示:相较传统双闭环控制,该方案有效解决了无储能环节变换器的强耦合控制难题,同时兼备优异的稳态精度、动态特性与鲁棒性。 展开更多
关键词 隔离型AC-DC矩阵变换器 改进型自抗扰控制 鲁棒性 动态响应性能
暂未订购 下载PDF
矩阵式隔离型AC-DC变换器的线性自抗扰控制 认领 引用
11
作者 王晓雷 王铂钦 +1 位作者 郭飞亚 冯明鑫 《机电工程技术》 2026年第1期124-130,共7页
矩阵式隔离型AC-DC变换器属于无直流母线的单级AC-DC变换器类型,其省略了直流储能电容使结构更加紧凑,功率密度提高,同时采用高频变压器实现隔离。为了提高该拓扑结构输出侧的动态响应性能和抗干扰性能,提出了一种基于线性自抗扰控制(Li... 矩阵式隔离型AC-DC变换器属于无直流母线的单级AC-DC变换器类型,其省略了直流储能电容使结构更加紧凑,功率密度提高,同时采用高频变压器实现隔离。为了提高该拓扑结构输出侧的动态响应性能和抗干扰性能,提出了一种基于线性自抗扰控制(Linear Active Disturbance Rejection Control,LADRC)的双闭环控制器。通过对矩阵式隔离型AC-DC变换器拓扑结构进行建模得到数学模型,并在此基础上设计了LADRC双闭环控制方案。对该系统模型进行MATLAB/Simulink仿真实验,结果表明所提基于线性自抗扰的双闭环控制器比PI控制器的动态响应速度缩短10 ms,动态响应性能提升了40%,具备更快的动态响应速度;抗干扰试验结果表明,输出电压瞬态偏差缩小50%,响应时间缩短57%,具备更强的抗干扰能力,验证了该控制策略的正确性。 展开更多
关键词 矩阵变换器 线性自抗扰控制(LADRC) 双闭环控制 隔离型 AC-DC变换器
暂未订购 下载PDF
Operation Optimization of Microgrid Clusters Coordinated with Distribution Systems with Limited Information Exchange 认领 引用
12
作者 Qianfeng Wu Dabo Xie +5 位作者 Wenhua Ni Junjie Zhou Xuantong Lu Chengying Ma Rongqiang Li Yang Li 《Energy Engineering》 EI 2026年第5期229-253,共25页
With the deepening of the power system reform,an increasing number of microgrids are being integrated into the distribution network.In traditional centralized optimization algorithms,the optimal power flow model of th... With the deepening of the power system reform,an increasing number of microgrids are being integrated into the distribution network.In traditional centralized optimization algorithms,the optimal power flow model of the distribution network and the optimal scheduling model of microgrid clusters are directly coupled and solved simultaneously.This process involves extensive information exchange between the upper distribution network system and the lower microgrid clusters,which not only increases the communication burden but also prolongs computation time and raises computational complexity.Moreover,it requires excessive information sharing,making it difficult to achieve limited information exchange between the upper and lower systems.In this paper,an optimization model and solution method based on the analytical target cascading approach are proposed.First,a typical microgrid model is constructed.On this basis,a collaborative optimization model for the active distribution network(ADN)and microgrid clusters is established.The distribution network and the microgrid clusters are treated as a unified entity of interest,with their interconnection power represented as virtual generators and virtual loads to achieve decoupling.Finally,simulations based on the IEEE-33 node standard system are conducted.Compared with the centralized algorithm,the effectiveness of the analytical target cascading method in coordinating the distribution network and microgrid clusters is verified.The proposed approach reduces computational complexity and enables optimized operation with limited information exchange. 展开更多
关键词 Distribution network microgrid clusters analysis target cascading collaborative optimization optimal scheduling limited information exchange
暂未订购 下载PDF
A Hybrid LSTM–FNN Framework for Safety-Constrained Energy Management in Mining Microgrids 认领 引用
13
作者 Sravani Parvathareddy Abid Yahya +2 位作者 Lilian Amuhaya Ravi Samikannu Raymond S.Suglo 《Energy Engineering》 EI 2026年第6期225-246,共22页
This paper presents a novel framework for the development of a real-time energy management system for mining microgrids,which integrates the benefits of a long short-term memory(LSTM)network and a feedforward neural n... This paper presents a novel framework for the development of a real-time energy management system for mining microgrids,which integrates the benefits of a long short-term memory(LSTM)network and a feedforward neural network(FNN)for the prediction of the load and solar power,and the optimization of the dispatch,respectively,while ensuring the safety of the microgrid through the application of a convex safety filter.In the proposed framework,the LSTM provides probabilistic multi-step forecasts of load and photovoltaic generation,capturing the high volatility characteristic of mining operations with ramp rates up to 5 MW/min.The FNN approximates the optimal power dispatch policy,enabling sub-millisecond inference times essential for real-time control.The convex safety filter projects the FNN’s proposed actions onto the feasible set defined by operational constraints,ensuring voltage regulation within±0.1%and preventing safety violations.The framework was validated using operational data from Jwaneng Mine,Botswana,within a MATLAB/Simulink co-simulation environment that couples discrete-time EMS decisions(15-min intervals)with continuous-time electrical dynamics(1-s resolution).Simulation results demonstrate an 18.7%reduction in operational costs,renewable energy utilization of 79.1%,voltage deviation of only 0.08%,and constraint violations reduced to 0.3%of intervals.The complete system achieves end-to-end latency of 50.8 ms,with the core optimization requiring just 0.8 ms,satisfying the stringent real-time requirements of mining microgrid control. 展开更多
关键词 Mining microgrids energy management system long short-term memory feedforward neural networks safety constraints renewable energy integration predictive control convex optimization
暂未订购 下载PDF
Dynamic Energy Management in a Hybrid Microgrid Integrating PV,Wind,Fuel Cell and EV Battery Using Fuzzy Logic Control 认领 引用
14
作者 Jawad Hameed Jiefeng Hu +1 位作者 Md Liton Hossain Syed Islam 《Energy Engineering》 EI 2026年第6期1-28,共28页
This paper presents a dynamic energy management strategy for a community-scale campus hybrid microgrid integrating photovoltaic(PV)generation,aggregated wind power,a proton exchange membrane fuel cell,and battery ener... This paper presents a dynamic energy management strategy for a community-scale campus hybrid microgrid integrating photovoltaic(PV)generation,aggregated wind power,a proton exchange membrane fuel cell,and battery energy storage to support electric vehicle(EV)charging infrastructure under variable environmental and load conditions.The system configuration is inspired by existing renewable energy installations and planned developments at the Federation University Mt Helen Campus,enabling realistic modeling of aggregated demand and coordinated multi-source operation.To enhance physical realism,power electronic conversion efficiencies and hierarchical control dynamics are incorporated,while the wind subsystem is represented using an aggregated generation model consistent with MW-scale operation.The proposed control architecture employs a Mamdani-type fuzzy logic controller(FLC)to coordinate distributed energy resources in real time based on solar irradiance,temperature,wind speed,load demand,and battery state of charge.A comprehensive MATLAB/Simulink model interfaces each source through converter-based power electronic stages,enabling adaptive power flow and stable system operation.Simulation results demonstrate uninterrupted load supply,reduced grid dependency,and effective bidirectional energy exchange.PV output varies between 18.76 and 95.12 kW,wind generation ranges from 1553.5 to 6493.84 kW,and the fuel cell provides a stable 1000 kW contribution,while the battery dynamically supports charging and discharging up to 203.07 kW.Power balance analysis confirms coordinated load sharing among all sources,with the grid supplying or absorbing power as required.Quantitative comparison with conventional PI-based dispatch demonstrates improved transient response,enhanced voltage regulation,smoother control effort,and improved power balance stability,with peak system efficiency reaching 97.83%,validating the proposed EMS as a robust and adaptive solution for EV-integrated renewable microgrids and next-generation smart energy systems. 展开更多
关键词 Hybrid microgrid fuzzy logic control renewable energy integration dynamic load battery storage PV system wind turbine fuel cell
暂未订购 下载PDF
A Harmonic Compensation Approach for Interlinking Voltage Source Converters in Hybrid AC-DC Microgrids with Low Switching Frequency 认领 引用 被引量：7
15
作者 Hao Tian Xiaohan Wen Yun Wei Li 《CSEE Journal of Power and Energy Systems》 SCIE 2018年第1期39-48,共10页
In recent years,the hybrid AC-DC microgrid has been well accepted as it combines the advantages of both AC and DC systems.As the microgrid contains both DC sub-grids and AC sub-grids,interlinking DC-AC converters are ... In recent years,the hybrid AC-DC microgrid has been well accepted as it combines the advantages of both AC and DC systems.As the microgrid contains both DC sub-grids and AC sub-grids,interlinking DC-AC converters are essential.Meanwhile,considering the nonlinear AC loads may deteriorate the voltage quality of the AC bus,embedding an ancillary harmonic compensation function to the interlinking converters is promising.However,the conventional harmonic control methods used for active power filters(APFs)may not be suitable for the interlinking converters due to the main purpose of it is to exchange real and reactive power between the DC and AC sub-grids.The switching frequency is preferred to be lower than the APFs when the capacity of the microgrid is large.At low switching frequency,harmonic compensation performance or even the system stability may be affected.In this paper,a harmonic compensation approach suitable for hybrid AC-DC interlinking converters at low switching frequency is proposed.Through feeding the PWM reference signal with the harmonic compensation component directly to avoid the multi-loop control path of the fundamental component,the proposed method can achieve the effective harmonics compensation without being limited by the closed-loop control bandwidth.The proposed method,modeling approaches,stability analysis,as well as detailed virtual impedance design are presented.Experimental verification is also provided. 展开更多
关键词 Harmonic compensation hybrid AC-DC microgrid virtual impedance
暂未订购 下载PDF
Economic Optimization of Wind Solar Energy Storage Microgrid in the Northwest Gobi Region of China Based on Improved MDA Algorithm 认领 引用
16
作者 Qingguo Nie Yongfang Nie 《Energy Engineering》 EI 2026年第6期443-468,共26页
This study proposes an optimized design method for wind-solar-storage microgrid systems in the Gobi Desert region of northwest China.The core innovation is the development of a Modified Dragonfly Algorithm(MDA)to addr... This study proposes an optimized design method for wind-solar-storage microgrid systems in the Gobi Desert region of northwest China.The core innovation is the development of a Modified Dragonfly Algorithm(MDA)to address the challenges of optimal system sizing and operation under complex desert conditions characterized by high renewable volatility and demanding environmental constraints.To strengthen the algorithm’s global search capability and convergence speed,three key enhancements are introduced:optimal point set initialization for even population distribution,cosine similarity guidance for balanced exploration-exploitation,and a nonlinear convergence factor for adaptive adjustment.The multi-objective optimization model is evaluated using a comprehensive set of technical,economic,and environmental metrics.Simulation results for a case study demonstrate the effectiveness of the proposed approach.The optimized microgrid configuration achieves a total net present cost of 40.062 million CNY,a competitive levelized cost of energy of 0.452 CNY/kWh,and a high renewable energy penetration rate of 88.73%.Environmentally,the system significantly reduces carbon dioxide emissions by approximately 1403.35 t annually compared to conventional power supply.A detailed sensitivity analysis reveals that energy storage capacity,local wind speed variability,and load fluctuations are the most critical factors influencing system economy and operational stability.Furthermore,a financial feasibility assessment yields a positive net present value of 9.237 million CNY and an investment payback period of approximately 8.7 years.These results collectively confirm the proposed MDAoptimized microgrid design offers strong economic viability,technical reliability,and substantial environmental benefits for sustainable development in arid and remote desert regions. 展开更多
关键词 Wind solar energy storage microgrid dragonfly optimization algorithm life cycle cost penetration rate of renewable energy financial analysis
暂未订购 下载PDF
Stability analysis of droop-free controlled islanded microgrids with asymmetric communication networks 认领 引用
17
作者 Weipeng Liu Upendra Prasad +1 位作者 Yutian Liu Lei Wu 《Cyber-Physical Energy Systems》 2026年第1期53-63,共11页
This paper presents a stability analysis of droop-free controlled islanded microgrids with asymmetric commu-nication networks for proper active power sharing of distributed energy resources(DERs)while maintaining freq... This paper presents a stability analysis of droop-free controlled islanded microgrids with asymmetric commu-nication networks for proper active power sharing of distributed energy resources(DERs)while maintaining frequency stability.With the normalized active power consensus(NAPC)-based droop-free control which can share the load among controllable DERs in proportion to their available capacities,this paper,for the first time,proves the asymptotic stability of NAPC-based droop-free control with asymmetric communication networks,by testifying that all effective eigenvalues have negative real parts.The stability margin under both symmetric and asymmetric designs is analyzed with respect to different system sizes,demonstrating that droop-free control with asymmetric communication networks is more suitable for large system implementations.Moreover,different Laplacian matrix designs of the asymmetric communication network,i.e.,zero columnow sum,are analyzed comparatively.Case studies demonstrate that communication networks with the zero row sum Laplacian matrix will lead to equal normalized active power sharing against disturbances,and a zero column sum can maintain the average nodal frequency at 60 Hz. 展开更多
关键词 Droop-free control Asymptotic stability Asymmetric communication networks Islanded microgrid Distributed energy resources
暂未订购 下载PDF
宽电压输入范围AC-DC电源控制方法研究 认领 引用
18
作者 汪志 尚付磊 +2 位作者 王海瑞 杨鹏 崔扬 《通信电源技术》 2026年第11期99-102,共4页
针对宽电压输入范围条件下交流-直流(Alternating Current-Direct Current,AC-DC)变换电路存在的稳压控制难度大、整流电压脉动干扰显著以及升降压模式切换不平稳等问题,设计适用于宽电压输入范围场景的AC-DC变换电路,并提出多模式协同... 针对宽电压输入范围条件下交流-直流(Alternating Current-Direct Current,AC-DC)变换电路存在的稳压控制难度大、整流电压脉动干扰显著以及升降压模式切换不平稳等问题,设计适用于宽电压输入范围场景的AC-DC变换电路,并提出多模式协同控制方法。该电路采用三相不控整流桥与四开关Buck-Boost拓扑相结合的结构。控制策略将系统工作状态划分为Buck模式、Boost模式以及中间模式,并设计了相应的模式切换逻辑,实现了升压与降压过程之间的平滑过渡。在稳压控制方面,采用占空比前馈补偿与积分调节相结合的复合控制方法,以抑制整流电压脉动对输出电压的扰动。实验结果表明,在发电机三相线电压为141~506 V的宽电压输入范围条件下,所提方案能够稳定输出(270.0±13.5)V的直流电压且模式切换过程中无明显电压突变,可满足工程应用需求。 展开更多
关键词 宽电压输入范围 交流-直流(AC-DC)电源 四开关拓扑 模式切换 稳压控制
暂未订购 下载PDF
Energy management strategy for a dormitory building PVstorage microgrid based on time-of-use pricing and state-ofcharge constraints 认领 引用
19
作者 Heng Wen 《Advances in Engineering Innovation》 2026年第7期110-121,共12页
Against the background of China's dual-carbon goals and refined energy management on the building side,university dormitory buildings have become typical scenarios for the coordinated application of rooftop photov... Against the background of China's dual-carbon goals and refined energy management on the building side,university dormitory buildings have become typical scenarios for the coordinated application of rooftop photovoltaics and electrochemical energy storage.This paper takes Dormitory Building No.9 at the University of Science and Technology Beijing,constructing a grid-connected microgrid with rooftop Photovoltaics(PV),lithium iron phosphate storage,loads,and the grid.Using Beijing's time-of-use industrial/commercial tariff and typical summer/winter days,a 24-hour linear optimal scheduling model minimizes daily operating cost(power purchase cost plus PV curtailment penalty)under constraints like power balance,State-of-Charge(SOC),charge/discharge limits,and grid interaction.The results show that,under the boundary condition of no power export to the grid,the energy storage system reconstructs the grid purchase curve through"off-peak charging,high-price discharging,and midday absorption of surplus PV power."The daily operating costs in the typical summer and winter scenarios decrease by 16.41%and 18.59%,respectively;PV curtailment is reduced to zero in both scenarios;and the PV self-consumption rate increases to 100%.Sensitivity analysis indicates that increasing the storage capacity can further reduce operating cost,but the marginal benefit declines gradually,providing a quantitative reference for sizing energy storage in dormitory buildings. 展开更多
关键词 microgrid time-of-use pricing dormitory building photovoltaic energy storage energy management system optimal scheduling
Novel Tripartite Managed DC-DC Convertor with Kingpin-Acolyte Based Distributed Consonance Control Strategy for Proficient Power Management in DC Microgrid 认领 引用
20
作者 K.K.Singh Tomar 《Journal of Energy and Power Engineering》 2026年第1期15-30,共16页
A micro-grid is a miniature active delivery network that uses DGs(distributed generations)(both green and conventional),energy storage facilities,and loads to run in either grid-connected or islanded modes.More over t... A micro-grid is a miniature active delivery network that uses DGs(distributed generations)(both green and conventional),energy storage facilities,and loads to run in either grid-connected or islanded modes.More over to decrease the variations in load voltage,power flow fluctuations,and enhanced the control of DC(direct current)connection with different bus voltage in battery storage unit is most complicated in prior studies.Hence in this paper efficiently proposed the Tripartite Managed DC-DC convertor that highly reduces the load voltage variations in micro grid.As a consequence,in terms of load and input voltage differences,it regulates the voltage in a DC micro grid depending on replacing frequency,service ratio,and patch shift between two vigorous connectors.Then the paper introduces the novel kingpin-acolyte based distributed consonance control strategy for ensuring the balanced power flow and enhanced the battery storage unit control.Control can be achieved by active and passive layers of control in this case.The active stage uses a reference-based droop control technique to assign tonnage components to the batteries for voltage power.The passive align uses sequential multi-agent scheme-oriented distributed solidarity for redistributing the DC bus voltage also procure controlled power transpose within these battery energy storage modules.Consequently,the outcome of the proposed work efficiently described the performances of the controller. 展开更多
关键词 DC microgrid tripartite DC-DC Converter battery energy storage distributed consonance control kingpin-acolyte strategy voltage regulation power sharing renewable integration
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 250 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈