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Multi-Timescale Coordinated Optimal Dispatch of Active Distribution Networks Incorporating Thermal Storage Electric Heating Clusters 认领 引用
1
作者 Song Zhang Yang Yu +1 位作者 Shuguang Li Xue Li 《Energy Engineering》 EI 2026年第3期459-480,共22页
Thermal storage electric heating(TSEH),as a prevalent variable load resource,offers significant potential for enhancing system flexibility when aggregated into a cluster.To address the uncertainties of renewable energ... Thermal storage electric heating(TSEH),as a prevalent variable load resource,offers significant potential for enhancing system flexibility when aggregated into a cluster.To address the uncertainties of renewable energy and load forecasting in active distribution networks(ADN),this paper proposes a multi-timescale coordinated optimal dispatch strategy that incorporates TSEH clusters.It utilizes the thermal storage characteristics and short-term regulation capabilities of TSEH,along with the rapid and gradual response characteristics of resources in active distribution grids,to develop a coordinated optimization dispatch mechanism for day-ahead,intraday,and real-time stages.It provides a coordinated optimized dispatch technique across several timescales for active distribution grids,taking into account the integration of TSEH clusters.The proposed method is validated on a modified IEEE 33-node system.Simulation results demonstrate that the participation of TSEH in collaborative optimization significantly reduces the total system operating cost by 8.71%compared to the scenario without TSEH.This cost reduction is attributed to a 10.84%decrease in interaction costs with the main grid and a 47.41%reduction in network loss costs,validating effective peak shaving and valley filling.The multi-timescale framework further enhances economic efficiency,with overall operating costs progressively decreasing by 3.91%(intraday)and 4.59%(real-time),and interaction costs further reduced by 5.34%and 9.25%,respectively.Moreover,the approach enhances system stability by effectively suppressing node voltage fluctuations and ensuring all voltages remain within safe operating limits during real-time operation.Therefore,the proposed approach achieves rational coordination of diverse resources,significantly improving the economic efficiency and stability of ADNs. 展开更多
关键词 Active distribution network thermal storage electric heating distributed energy resources rolling optimization multiple time scales
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Two-stage wind-solar-storage capacity allocation method research for active distribution network based on whale migrating algorithm 认领 引用
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作者 Wu Zheng Ting Tang +1 位作者 Xianggang He Jierui Yang 《Global Energy Interconnection》 EI CSCD 2026年第3期555-566,共12页
With the integration of clean energy,the increasing penetration of distributed power sources,controllable loads,and energy-storage resources in smart grids is causing substantial difficulties in the safe,stable,and co... With the integration of clean energy,the increasing penetration of distributed power sources,controllable loads,and energy-storage resources in smart grids is causing substantial difficulties in the safe,stable,and cost-effective operation of power systems.Existing research often fails to consider the interconnections among optimal dispatching and the distribution capacities of wind,solar,and energy-storage systems(ESSs).This increases the costs and dispatching difficulties.In response to this situation,a two-stage capacity-allocation approach for wind and solar power and storage in an active distribution network(ADN)is proposed in this paper.This approach is founded based on the whale migration algorithm(WMA).First,an optimization dispatch model that considers controllable loads and energy storage is formulated to minimize the dispatch operation costs of the ADN.In this optimization model,the overall cost of the ADN is taken as the objective function.The optimal configuration for wind–solar–storage capacities is obtained through the WMA.Simulation results confirm that the WMA effectively balances the solution accuracy and computational efficiency,while the proposed scheme enhances the economic performance of active distribution grids. 展开更多
关键词 Active distribution network(ADN) Optimization dispatching Capacity allocation Two-stage Whale migration algorithm(WMA)
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An Upgrade Strategy for Active Distribution Networks Considering Probabilistic Power Flow 认领 引用
3
作者 Xiaotong Li Mingquan Qiu +7 位作者 Wenjun Zhang Pengfei Li Chong Liu Chong Yang Han Xiao Feng Hu Binghui Liu He Wang 《Energy Engineering》 EI 2026年第8期133-157,共25页
To address the operational uncertainties and power quality challenges brought by high-penetration distributed energy integration into distribution networks,this paper proposes a precision renovation optimization metho... To address the operational uncertainties and power quality challenges brought by high-penetration distributed energy integration into distribution networks,this paper proposes a precision renovation optimization method for active distribution networks(ADNs)that considers probabilistic power flow.First,based on probabilistic power flow analysis,a comprehensive power quality evaluation index system is constructed to accurately quantify the impact of uncertainties caused by photovoltaic fluctuations on distribution network power quality under high-penetration distributed photovoltaic(PV)scenarios.On this basis,a precision renovation optimization model is established with the goals of minimizing renovation cost,maximizing renewable energy hosting capacity,and optimizing the comprehensive power quality index,thereby achieving coordinated optimization of economic and operational performance.To address the challenges of solving this high-dimensional,mixed-variable,and strongly constrained model,an Adaptive and Feedback-enhanced Multi-strategy Particle Swarm Optimization(AFM-PSO)algorithm is proposed.This algorithm incorporates structured particle encoding,a dynamic information entropy feedback mechanism,and a local perturbation strategy,significantly improving search efficiency and convergence accuracy,making it suitable for rapidly solving complex distribution system renovation problems.Finally,the effectiveness of the proposed model and algorithm is verified using an IEEE 33-node distribution system with high-penetration PV integration as a simulation platform.The results demonstrate that the proposed method significantly enhances system voltage stability and renewable energy hosting capacity while controlling renovation costs,validating its superiority in achieving refined renovation and efficient operation of distribution networks. 展开更多
关键词 Active distribution networks distribution network upgrade probabilistic powerffiow power quality evaluation index multi-strategy particle swarm algorithm
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Analyzing the Resilience of Active Distribution Networks to Hazardous Weather Considering Cyber-Physical Interdependencies 认领 引用 被引量：1
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作者 Zhiyi Li Xutao Han +2 位作者 Mohammad Shahidehpour Ping Ju Qun Yu 《Engineering》 SCIE EI CSCD 2025年第8期15-36,共22页
This paper provides a systematic review on the resilience analysis of active distribution networks(ADNs)against hazardous weather events,considering the underlying cyber-physical interdependencies.As cyber-physical sy... This paper provides a systematic review on the resilience analysis of active distribution networks(ADNs)against hazardous weather events,considering the underlying cyber-physical interdependencies.As cyber-physical systems,ADNs are characterized by widespread structural and functional interdependen-cies between cyber(communication,computing,and control)and physical(electric power)subsystems and thus present complex hazardous-weather-related resilience issues.To bridge current research gaps,this paper first classifies diverse hazardous weather events for ADNs according to different time spans and degrees of hazard,with model-based and data-driven methods being utilized to characterize weather evolutions.Then,the adverse impacts of hazardous weather on all aspects of ADNs’sources,physical/cyber networks,and loads are analyzed.This paper further emphasizes the importance of situational awareness and cyber-physical collaboration throughout hazardous weather events,as these enhance the implementation of preventive dispatches,corrective actions,and coordinated restorations.In addition,a generalized quantitative resilience evaluation process is proposed regarding additional considerations about cyber subsystems and cyber-physical connections.Finally,potential hazardous-weather-related resilience challenges for both physical and cyber subsystems are discussed. 展开更多
关键词 Cyber–physical interdependency Resilience analysis Active distribution network Hazardous weather event
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Security distance analysis of active distribution network considering energy hub demand response 认领 引用
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作者 Rui Ma Qi Zhou +2 位作者 Shengyang Liu Qin Yan Mo Shi 《Global Energy Interconnection》 EI CSCD 2025年第1期160-173,共14页
This study proposes a method for analyzing the security distance of an Active Distribution Network(ADN)by incorporating the demand response of an Energy Hub(EH).Taking into account the impact of stochastic wind-solar ... This study proposes a method for analyzing the security distance of an Active Distribution Network(ADN)by incorporating the demand response of an Energy Hub(EH).Taking into account the impact of stochastic wind-solar power and flexible loads on the EH,an interactive power model was developed to represent the EH’s operation under these influences.Additionally,an ADN security distance model,integrating an EH with flexible loads,was constructed to evaluate the effect of flexible load variations on the ADN’s security distance.By considering scenarios such as air conditioning(AC)load reduction and base station(BS)load transfer,the security distances of phases A,B,and C increased by 17.1%,17.2%,and 17.7%,respectively.Furthermore,a multi-objective optimal power flow model was formulated and solved using the Forward-Backward Power Flow Algorithm,the NSGA-II multi-objective optimization algo-rithm,and the maximum satisfaction method.The simulation results of the IEEE33 node system example demonstrate that after opti-mization,the total energy cost for one day is reduced by 0.026%,and the total security distance limit of the ADN’s three phases is improved by 0.1 MVA.This method effectively enhances the security distance,facilitates BS load transfer and AC load reduction,and contributes to the energy-saving,economical,and safe operation of the power system. 展开更多
关键词 Active distribution network Energy hub Security distance Base station load Air-conditioning load
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Reactive Power Optimization Model of Active Distribution Network with New Energy and Electric Vehicles 认领 引用 被引量：1
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作者 Chenxu Wang Jing Bian Rui Yuan 《Energy Engineering》 EI 2025年第3期985-1003,共19页
Considering the uncertainty of grid connection of electric vehicle charging stations and the uncertainty of new energy and residential electricity load,a spatio-temporal decoupling strategy of dynamic reactive power o... Considering the uncertainty of grid connection of electric vehicle charging stations and the uncertainty of new energy and residential electricity load,a spatio-temporal decoupling strategy of dynamic reactive power optimization based on clustering-local relaxation-correction is proposed.Firstly,the k-medoids clustering algorithm is used to divide the reduced power scene into periods.Then,the discrete variables and continuous variables are optimized in the same period of time.Finally,the number of input groups of parallel capacitor banks(CB)in multiple periods is fixed,and then the secondary static reactive power optimization correction is carried out by using the continuous reactive power output device based on the static reactive power compensation device(SVC),the new energy grid-connected inverter,and the electric vehicle charging station.According to the characteristics of the model,a hybrid optimization algorithm with a cross-feedback mechanism is used to solve different types of variables,and an improved artificial hummingbird algorithm based on tent chaotic mapping and adaptive mutation is proposed to improve the solution efficiency.The simulation results show that the proposed decoupling strategy can obtain satisfactory optimization resultswhile strictly guaranteeing the dynamic constraints of discrete variables,and the hybrid algorithm can effectively solve the mixed integer nonlinear optimization problem. 展开更多
关键词 Active distribution network new energy electric vehicles dynamic reactive power optimization kmedoids clustering hybrid optimization algorithm
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Quantum-accelerated active distribution network planning based on coherent photonic quantum computers 认领 引用
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作者 Yu Xin Haipeng Xie Wei Fu 《iEnergy》 EI 2025年第2期107-120,共14页
Active distribution network(ADN)planning is crucial for achieving a cost-effective transition to modern power systems,yet it poses significant challenges as the system scale increases.The advent of quantum computing o... Active distribution network(ADN)planning is crucial for achieving a cost-effective transition to modern power systems,yet it poses significant challenges as the system scale increases.The advent of quantum computing offers a transformative approach to solve ADN planning.To fully leverage the potential of quantum computing,this paper proposes a photonic quantum acceleration algorithm.First,a quantum-accelerated framework for ADN planning is proposed on the basis of coherent photonic quantum computers.The ADN planning model is then formulated and decomposed into discrete master problems and continuous subproblems to facilitate the quantum optimization process.The photonic quantum-embedded adaptive alternating direction method of multipliers(PQA-ADMM)algorithm is subsequently proposed to equivalently map the discrete master problem onto a quantum-interpretable model,enabling its deployment on a photonic quantum computer.Finally,a comparative analysis with various solvers,including Gurobi,demonstrates that the proposed PQA-ADMM algorithm achieves significant speedup on the modified IEEE 33-node and IEEE 123-node systems,highlighting its effectiveness. 展开更多
关键词 Active distribution network planning coherent photonic quantum computer photonic quantum-embedded adaptive ADMM algorithm quantum computing
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Optimal Location and Sizing of Distributed Generator via Improved Multi-Objective Particle Swarm Optimization in Active Distribution Network Considering Multi-Resource 认领 引用 被引量：2
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作者 Guobin He Rui Su +5 位作者 Jinxin Yang Yuanping Huang Huanlin Chen Donghui Zhang Cangtao Yang Wenwen Li 《Energy Engineering》 EI 2023年第9期2133-2154,共22页
In the framework of vigorous promotion of low-carbon power system growth as well as economic globalization,multi-resource penetration in active distribution networks has been advancing fiercely.In particular,distribut... In the framework of vigorous promotion of low-carbon power system growth as well as economic globalization,multi-resource penetration in active distribution networks has been advancing fiercely.In particular,distributed generation(DG)based on renewable energy is critical for active distribution network operation enhancement.To comprehensively analyze the accessing impact of DG in distribution networks from various parts,this paper establishes an optimal DG location and sizing planning model based on active power losses,voltage profile,pollution emissions,and the economics of DG costs as well as meteorological conditions.Subsequently,multiobjective particle swarm optimization(MOPSO)is applied to obtain the optimal Pareto front.Besides,for the sake of avoiding the influence of the subjective setting of the weight coefficient,the decisionmethod based on amodified ideal point is applied to execute a Pareto front decision.Finally,simulation tests based on IEEE33 and IEEE69 nodes are designed.The experimental results show thatMOPSO can achieve wider and more uniformPareto front distribution.In the IEEE33 node test system,power loss,and voltage deviation decreased by 52.23%,and 38.89%,respectively,while taking the economy into account.In the IEEE69 test system,the three indexes decreased by 19.67%,and 58.96%,respectively. 展开更多
关键词 Active distribution network multi-resource penetration operation enhancement particle swarm optimization multi-objective optimization
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A Critical Review of Active Distribution Network Reconfiguration:Concepts,Development,and Perspectives 认领 引用
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作者 Bo Yang Rui Zhang +10 位作者 Jie Zhang Xianlong Cheng Jiale Li Yimin Zhou Yuanweiji Hu Bin He Gongshuai Zhang Xiuping Du Si Ji Yiyan Sang Zhengxun Guo 《Energy Engineering》 EI 2024年第12期3487-3547,共61页
In recent years,the large-scale grid connection of various distributed power sources has made the planning and operation of distribution grids increasingly complex.Consequently,a large number of active distribution ne... In recent years,the large-scale grid connection of various distributed power sources has made the planning and operation of distribution grids increasingly complex.Consequently,a large number of active distribution network reconfiguration techniques have emerged to reduce system losses,improve system safety,and enhance power quality via switching switches to change the system topology while ensuring the radial structure of the network.While scholars have previously reviewed these methods,they all have obvious shortcomings,such as a lack of systematic integration of methods,vague classification,lack of constructive suggestions for future study,etc.Therefore,this paper attempts to provide a comprehensive and profound review of 52 methods and applications of active distribution network reconfiguration through systematic method classification and enumeration.Specifically,these methods are classified into five categories,i.e.,traditional methods,mathematical methods,meta-heuristic algorithms,machine learning methods,and hybrid methods.A thorough comparison of the various methods is also scored in terms of their practicality,complexity,number of switching actions,performance improvement,advantages,and disadvantages.Finally,four summaries and four future research prospects are presented.In summary,this paper aims to provide an up-to-date and well-rounded manual for subsequent researchers and scholars engaged in related fields. 展开更多
关键词 Active distribution network reconfiguration meta-heuristic algorithm machine learning
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Blockchain-Based Power Transaction Method for Active Distribution Network 认领 引用
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作者 Fei Zeng Zhinong Wei +1 位作者 Haiteng Han Yang Chen 《Energy Engineering》 EI 2023年第5期1067-1080,共14页
A blockchain-based power transaction method is proposed for Active Distribution Network(ADN),considering the poor security and high cost of a centralized power trading system.Firstly,the decentralized blockchain struc... A blockchain-based power transaction method is proposed for Active Distribution Network(ADN),considering the poor security and high cost of a centralized power trading system.Firstly,the decentralized blockchain structure of the ADN power transaction is built and the transaction information is kept in blocks.Secondly,considering the transaction needs between users and power suppliers in ADN,an energy request mechanism is proposed,and the optimization objective function is designed by integrating cost aware requests and storage aware requests.Finally,the particle swarm optimization algorithm is used for multi-objective optimal search to find the power trading scheme with the minimum power purchase cost of users and the maximum power sold by power suppliers.The experimental demonstration of the proposed method based on the experimental platform shows that when the number of participants is no more than 10,the transaction delay time is 0.2 s,and the transaction cost fluctuates at 200,000 yuan,which is better than other comparison methods. 展开更多
关键词 Blockchain active distribution network power transaction energy request mechanism particle swarm optimization algorithm
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Robust Voltage Control for Active Distribution Networks via Safe Deep Reinforcement Learning Against State Perturbations 认领 引用 被引量：2
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作者 Meng Tian Xiaoxu Li +3 位作者 Ziyang Zhu Zhengcheng Dong Li Gong Jingang Lai 《Protection and Control of Modern Power Systems》 SCIE EI CSCD 2026年第1期192-207,共16页
With the prevalence of renewable distributed energy resources(DERs)such as photovoltaics(PVs),modern active distribution networks(ADNs)suffer from voltage deviation and power quality issues.However,traditional voltage... With the prevalence of renewable distributed energy resources(DERs)such as photovoltaics(PVs),modern active distribution networks(ADNs)suffer from voltage deviation and power quality issues.However,traditional voltage control methods often face a trade-off between efficiency and effectiveness,and rarely ensure robust voltage safety under typical state perturbations in practical distribution grids.In this paper,a robust model-free voltage regulation approach is proposed which simultaneously takes security and robustness into account.In this context,the voltage control problem is formulated as a constrained Markov decision process(CMDP).A safety-augmented multiagent deep deterministic policy gradient(MADDPG)algorithm is the trained to enable real-time collaborative optimization of ADNs,aiming to maintain nodal voltages within safe operational limits while minimizing total line losses.Moreover,a robust regulation loss is introduced to ensure reliable performance under various state perturbations in practical voltage controls.The proposed regulation algorithm effectively balance efficiency,safety,and robustness,and also demonstrates potential for generalizing these characteristics to other applications.Numerical studies vali-date the robustness of the proposed method under varying state perturbations on the IEEE test cases and the optimal integrated control performance when compared to other benchmarks. 展开更多
关键词 Active distribution network robust voltage control state perturbation model-free safe deep reinforcement learning
Discussion on the Coordinated Development of Distributed Photovoltaic Power Generation and Active Distribution Network 认领 引用
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作者 ZHOU Hao 《外文科技期刊数据库（文摘版）工程技术》 2021年第11期1215-1217,共3页
Driven by the rapid development of society, it promotes the diversified development of the electric power industry. At the same time, it also makes the development of all kinds of power generation systems have serious... Driven by the rapid development of society, it promotes the diversified development of the electric power industry. At the same time, it also makes the development of all kinds of power generation systems have serious differences, and also shows the superiority of distributed generation, which makes people pay more attention to the development of the electric power industry. Its power generation principle is to use the current natural environment of light, using technical expertise to convert them into energy. Solar energy belongs to the renewable green new energy, which plays an important role in protecting the ecological environment and promotes the stable and healthy development of human society. In terms of economy, it also effectively alleviates the cost pressure, and there is no need to pay more attention to the source of energy. What we choose to use is the natural energy. Therefore, distributed photovoltaic power generation and assisted distribution network still need to continue to develop and grow, so as to lay a good foundation for the development of the power industry. This paper mainly focuses on the coordinated development of distributed photovoltaic power generation and assisted distribution network to carry out a comprehensive analysis and research, hoping to contribute to the harmonious and stable development of China's society. 展开更多
关键词 distributed photovoltaic power generation access active distribution network the coordinated deve
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A Pilot Protection Method for Active Distribution Networks Based on Improved Fréchet Distance 认领 引用
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作者 Xiang Li Guibin Zou +3 位作者 Chenghan Zhou Xincheng Zheng Xinyi Du Zhe Lu 《Protection and Control of Modern Power Systems》 SCIE EI CSCD 2026年第2期1-15,共15页
The integration of inverter-interfaced distributed generations(IIDGs)has modified the fault characteristics of active distribution networks(ADNs),substantially affecting the range,sensitivity,and reliability of conven... The integration of inverter-interfaced distributed generations(IIDGs)has modified the fault characteristics of active distribution networks(ADNs),substantially affecting the range,sensitivity,and reliability of conventional single-ended protection.Conventional current differential protection and existing waveform similarity-based protection methods suffer from poor tolerance to transition resistance and rely on simulations or field experiences for setting threshold values.To address these problems,this paper proposes a pilot protection method based on improved Fréchet distance by analyzing the differences in amplitude-phase characteristics of short-circuit currents during internal and external faults in ADNs with IIDGs.This method fully considers the physical significance of applying Fréchet distance to power-frequency current waveforms,offering a short operating time,high tolerance to transition resistance,and strong resistance to synchronization errors.Furthermore,a compensation criterion based on the positive-sequence current amplitude of the virtual T-connected branch is established to handle the impact of multiple unmeasurable T-connected branches.PSCAD simulations verify the effectiveness of the proposed method under different fault conditions and demonstrate its improvement over existing methods.Finally,a real-time digital simulator(RTDS)-based hardware test platform is used to further verify the developed differential relay prototypes based on the proposed method. 展开更多
关键词 Active distribution network Fréchet distance pilot protection T-connected branches
Bi-level Supply Restoration Method for Active Distribution Networks Considering Multi-resource Coordination 认领 引用 被引量：3
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作者 Guanyu Song Chiyuan Ma +5 位作者 Haoran Ji Hany M.Hasanien Jiancheng Yu Jinli Zhao Hao Yu Peng Li 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2025年第3期967-979,共13页
The volatility of increasing distributed generators(DGs)poses a severe challenge to the supply restoration of active distribution networks(ADNs).The integration of power electronic devices represented by soft open poi... The volatility of increasing distributed generators(DGs)poses a severe challenge to the supply restoration of active distribution networks(ADNs).The integration of power electronic devices represented by soft open points(SOPs)and mobile energy storages(MESs)provides a promising opportunity for rapid supply restoration with high DG penetration.Oriented for the post-event rapid restoration of ADNs,a bi-level supply restoration method is proposed considering the multi-resource coordination of switches,SOPs,and MESs.At the upper level(long-timescale),a multi-stage supply restoration model is developed for multiple resources under uncertainties of DGs and loads.At the lower level(short-timescale),a rolling correction restoration strategy is proposed to adapt to the DG and load fluctuations on short timescales.Finally,the effectiveness of the proposed method is verified based on a modified practical distribution network and IEEE 123-node distribution network.Results show that the proposed method can fully utilize the coordination potential of multiple resources to improve load restoration ratio for ADNs with DG uncertainties. 展开更多
关键词 Active distribution network(ADN) soft open point(SOP) distributed generator(DG) supply restoration mobile energy storage(MES) uncertainty multi-resource coordination
Measurement Feedback-driven Load Restoration Enhancement of Active Distribution Networks with Soft Open Points 认领 引用 被引量：2
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作者 Chengshan Wang Chenhai Li +5 位作者 Jinli Zhao Haoran Ji Hao Yu Guanyu Song Peng Li Jianzhong Wu 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2025年第6期2696-2709,共14页
Increasing distributed generator(DG)penetration poses significant challenges in the restoration performance of active distribution networks(ADNs).Load restoration after topology reconfiguration has not been adequately... Increasing distributed generator(DG)penetration poses significant challenges in the restoration performance of active distribution networks(ADNs).Load restoration after topology reconfiguration has not been adequately considered.With the development of flexible interconnection technology,restoration performance can be further improved by electronic devices,such as soft open points(SOPs).Model-based methods may not align with SOPs’rapid regulatory capability,and the pre-training process may constrain machine learning-based methods.To address these issues,a measurement feedback-driven method is proposed to enhance continued load restoration in ADNs with SOPs.First,a dynamic mapping matrix(DMM)is extracted to depict the relationship between the restoration strategy and the system states of the outage area.Then,a measurement feedback-driven model is established to effectively implement the continued restoration strategy,thereby avoiding impacts from iterative interaction with ADNs.A rectification mechanism of DMM is further designed to improve the adaptability to DG fluctuations.The load restoration capability of the SOP is fully exploited to enhance the restoration performance.The case studies are conducted on a practical distribution network with the four-terminal SOP.Results show that the proposed method can effectively leverage the benefits of the SOP to restore affected loads while adapting to DG fluctuations. 展开更多
关键词 Distributed generators(DGs) load restoration measurement feedback-driven(MFD) soft open point(SOP) active distribution networks(ADNs)
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Optimal Power Dispatch of Active Distribution Network and P2P Energy Trading Based on Soft Actor-critic Algorithm Incorporating Distributed Trading Control 认领 引用 被引量：1
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作者 Yongjun Zhang Jun Zhang +3 位作者 Guangbin Wu Jiehui Zheng Dongming Liu Yuzheng An 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2025年第2期540-551,共12页
Peer-to-peer(P2P)energy trading in active distribution networks(ADNs)plays a pivotal role in promoting the efficient consumption of renewable energy sources.However,it is challenging to effectively coordinate the powe... Peer-to-peer(P2P)energy trading in active distribution networks(ADNs)plays a pivotal role in promoting the efficient consumption of renewable energy sources.However,it is challenging to effectively coordinate the power dispatch of ADNs and P2P energy trading while preserving the privacy of different physical interests.Hence,this paper proposes a soft actor-critic algorithm incorporating distributed trading control(SAC-DTC)to tackle the optimal power dispatch of ADNs and the P2P energy trading considering privacy preservation among prosumers.First,the soft actor-critic(SAC)algorithm is used to optimize the control strategy of device in ADNs to minimize the operation cost,and the primary environmental information of the ADN at this point is published to prosumers.Then,a distributed generalized fast dual ascent method is used to iterate the trading process of prosumers and maximize their revenues.Subsequently,the results of trading are encrypted based on the differential privacy technique and returned to the ADN.Finally,the social welfare value consisting of ADN operation cost and P2P market revenue is utilized as a reward value to update network parameters and control strategies of the deep reinforcement learning.Simulation results show that the proposed SAC-DTC algorithm reduces the ADN operation cost,boosts the P2P market revenue,maximizes the social welfare,and exhibits high computational accuracy,demonstrating its practical application to the operation of power systems and power markets. 展开更多
关键词 Optimal power dispatch peer-to-peer(P2P)energy trading active distribution network(ADN) distributed trading soft actor-critic algorithm privacy preservation
Improving Power Response of Single-Controllable VSG-Based Active Distribution Network 认领 引用 被引量：1
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作者 Shah Fahad Arman Goudarzi +1 位作者 Pierluigi Siano Ji Xiang 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2025年第1期102-114,共13页
Controlling an active distribution network(ADN)from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs(IRESs).Recent studies have proposed a constant PQ regulation approa... Controlling an active distribution network(ADN)from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs(IRESs).Recent studies have proposed a constant PQ regulation approach at the PCC of ADNs using coordination of non-MPPT based DGs.However,due to the intermittent nature of DGs coupled with PCC through uni-directional broadcast communication,the PCC becomes vulnerable to transient issues.To address this challenge,this study first presents a detailed mathematical model of an ADN from the perspective of PCC regulation to realize rigidness of PCC against transients.Second,an H∞controller is formulated and employed to achieve optimal performance against disturbances,consequently,ensuring the least oscillations during transients at PCC.Third,an eigenvalue analysis is presented to analyze convergence speed limitations of the newly derived system model.Last,simulation results show the proposed method offers superior performance as compared to the state-of-the-art methods. 展开更多
关键词 Cooperative control of DGs hierarchical control system high penetration of intermittent RESs H∞control optimal control in power systems single-controllable active distribution networks
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Multi-spatial hierarchical analysis of power carbon emissions in coal mine active distribution networks using dynamic emission factors 认领 引用
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作者 Xiangyuan Chen Bing Liu +3 位作者 Haidong Li You Zhou Dongliang Wang Rui Wang 《Clean Energy》 EI CSCD 2025年第6期219-232,共14页
With the development of distributed photovoltaic energy in mining areas,the increasing proportion of new energy integration will gradually drive the structural transformation of coal mine parks into industrial active ... With the development of distributed photovoltaic energy in mining areas,the increasing proportion of new energy integration will gradually drive the structural transformation of coal mine parks into industrial active distribution networks.This paper takes a coal mine in Shaanxi Province as an empirical research subject,employing a multi-spatial hierarchical analysis method to systematically analyze the electricity usage characteristics across different spatial levels.It innovatively proposes a power line loss correction method for multi-level electrical equipment,effectively balancing the metering deviations of line losses between levels.Based on two types of carbon emission factors,it achieves precise evaluation of indirect carbon emissions from electricity usage in different levels of equipment or energy units.When calculating indirect carbon emissions from electricity using static carbon emission factors,the measured values show a positive correlation with peak electricity load.As the proportion of renewable photovoltaic power integration in industrial active distribution networks increases,the system’s indirect carbon emission factors exhibit a periodic decreasing trend.After adopting dynamic indirect carbon emission factors for accounting,the indirect carbon emissions from electricity in the first consumption level can be reduced by 31%-55%,while the overall plant-wide indirect carbon emissions decrease by 29068.94 kgCO2/d,a reduction of approximately 40%.For the second consumption level in industrial production areas,indirect carbon emissions from electricity can be reduced by 5%-83%,with overall industrial park-wide indirect carbon emissions decreasing by 7376.48 kgCO2/d,a reduction of about 31%.It is recommended to use advanced equipment and energy-saving technologies to suppress technical line losses in coal mine power supply systems and improve energy efficiency.Promoting the coordinated application of renewable energy and energy storage technologies can expand the scale of stable and reliable renewable energy supply,effectively reducing indirect carbon emissions from electricity. 展开更多
关键词 coal mine power carbon emissions active distribution network multi-spatial hierarchy dynamic emission factor
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Distributionally Robust Chance-Constrained Optimization for Soft Open Points Operation in Active Distribution Networks 认领 引用 被引量：2
19
作者 Qilin Hou Ge Chen +1 位作者 Ningyi Dai Hongcai Zhang 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2025年第2期637-648,共12页
The escalating installation of distributed generation (DG) within active distribution networks (ADNs) diminishes the reliance on fossil fuels, yet it intensifies the disparity between demand and generation across vari... The escalating installation of distributed generation (DG) within active distribution networks (ADNs) diminishes the reliance on fossil fuels, yet it intensifies the disparity between demand and generation across various regions. Moreover, due to the intermittent and stochastic characteristics, DG also introduces uncertain forecasting errors, which further increase difficulties for power dispatch. To overcome these challenges, an emerging flexible interconnection device, soft open point (SOP), is introduced. A distributionally robust chance-constrained optimization (DRCCO) model is also proposed to effectively exploit the benefits of SOPs in ADNs under uncertainties. Compared with conventional robust, stochastic and chance-constrained models, the DRCCO model can better balance reliability and economic profits without the exact distribution of uncertainties. More-over, unlike most published works that employ two individual chance constraints to approximate the upper and lower bound constraints (e.g, bus voltage and branch current limitations), joint two-sided chance constraints are introduced and exactly reformulated into conic forms to avoid redundant conservativeness. Based on numerical experiments, we validate that SOPs' employment can significantly enhance the energy efficiency of ADNs by alleviating DG curtailment and load shedding problems. Simulation results also confirm that the proposed joint two-sided DRCCO method can achieve good balance between economic efficiency and reliability while reducing the conservativeness of conventional DRCCO methods. 展开更多
关键词 Active distribution networks distributionally robust chance-constrained optimization soft open points
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Islanding Detection for Active Distribution Networks Using a WaveNet+UNet Classifier 认领 引用
20
作者 Amirhosein Alizadeh Seyed Fariborz Zarei Mohammadhadi Shateri 《Protection and Control of Modern Power Systems》 SCIE EI CSCD 2025年第5期152-164,共13页
This paper proposes an AI-based approach for islanding detection in active distribution networks.A review of existing AI-based studies reveals several gaps,including model complexity and stability concerns,limited acc... This paper proposes an AI-based approach for islanding detection in active distribution networks.A review of existing AI-based studies reveals several gaps,including model complexity and stability concerns,limited accuracy in noisy conditions,and limited applicability to systems with different types of resources.To address these challenges,this paper proposes a novel approach that adapts the WaveNet generator into a classifier,enhanced with a denoising UNet model,to improve performance in varying signal-to-noise ratio(SNR)conditions.In designing this model,we deviate from state-of-the-art approaches that primarily rely on long short-term memory(LSTM)architectures by employing 1D convolutional layers.This enables the model to focus on spatial analysis of the input signal,making it particularly well-suited for processing long input sequences.Additionally,residual connections are incorporated to mitigate overfitting and significantly enhance the model’s generalizability.To verify the effectiveness of the proposed scheme,over 14000 islandingon-islanding cases are tested,considering different load activeeactive power values,load switching transients,capacitor bank switching,fault conditions in the main grid,different load quality factors,SNR levels,changes in network topology,and both types of conventional and inverter-based sources. 展开更多
关键词 Active distribution networks distributed generation inverter-based resources islanding detection UNet denoising model WaveNet model
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