CSEE Journal of Power and Energy Systems最新文献_第2页

Improved Successive Branch Reduction for Stochastic Distribution Network Reconfiguration in the Presence of Renewables 可再生能源存在下随机配电网重构的改进连续分支约简

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-07-24 DOI: 10.17775/CSEEJPES.2022.08060

Wanjun Huang;Changhong Zhao

{"title":"Improved Successive Branch Reduction for Stochastic Distribution Network Reconfiguration in the Presence of Renewables","authors":"Wanjun Huang;Changhong Zhao","doi":"10.17775/CSEEJPES.2022.08060","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.08060","url":null,"abstract":"We propose an improved successive branch reduction (SBR) method to solve stochastic distribution network reconfiguration (SDNR) in the presence of renewables. This mixed-integer program is known to be computationally challenging. First, for a special distribution network with a single redundant branch, we propose an improved design for a one-stage SBR algorithm in the literature to incorporate uncertain renewable generations and loads. Based on solving stochastic optimal power flow, the improved algorithm identifies and searches through a small set of candidate branches, from which it determines the optimal branch to open and obtains a radial network with the minimum expected operational cost. Then, for a general network with multiple redundant branches, we design a heuristic two-stage SBR algorithm based on a close-and-open procedure that iteratively runs the proposed one-stage SBR algorithm. Numerical results on the IEEE 33-bus and 123-bus distribution network models verify the proposed method in terms of optimality and computational efficiency.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2404-2414"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10609278","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Aerodynamic Drag Reduction and Insulation Performance of Roof Insulator with Dimpled Non-smooth Surfaces 凹凸面屋顶绝缘子气动减阻与保温性能研究

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2023-12-28 DOI: 10.17775/CSEEJPES.2022.04340

Yujun Guo;Chenguang Yang;Libin Yao;Kai Liu;Xueqin Zhang;Song Xiao;Wenfu Wei;Guangning Wu

{"title":"Aerodynamic Drag Reduction and Insulation Performance of Roof Insulator with Dimpled Non-smooth Surfaces","authors":"Yujun Guo;Chenguang Yang;Libin Yao;Kai Liu;Xueqin Zhang;Song Xiao;Wenfu Wei;Guangning Wu","doi":"10.17775/CSEEJPES.2022.04340","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.04340","url":null,"abstract":"Aerodynamic drag generated by high-speed trains significantly affects trains' operating cost and restricts a further increase in speed. Currently, the drag reduction method with streamlined bodies has reached its limit. The presence of external insulation equipment disrupts the roof's smoothness, making it an important source of aerodynamic drag. However, roof equipment also assumes an essential role of electrical insulation, so both aerodynamic characteristics and insulation performance need to be considered. Therefore, a drag reduction method based on the non-smooth structure is proposed for the roof insulator, in which aerodynamic characteristics on and around the insulator are changed by constructing dimpled surfaces on the sheds. In this study, parameters of dimple structure with an excellent drag reduction effect were determined, achieving a drag reduction rate of 17.51%. Simulations and experiments were conducted to verify that the dimpled insulator exhibits good electrical insulation performance. Finally, a mechanism analysis of drag reduction with a dimpled structure was provided in terms of velocity vector, turbulent kinetic energy and turbulent dissipation rate. This study provides guidance for drag reduction of external insulation equipment and energy savings of high-speed trains.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2594-2604"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375992","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Scheduling Strategy of Networked Data Centers in Multiple Transactive Energy Markets 多交易能源市场下网络化数据中心最优调度策略

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-07-24 DOI: 10.17775/CSEEJPES.2023.00820

Meng Song;Xingyu Yan;Xudong Wang;Ciwei Gao;Wenhan Zhang;Shiwei Xia;Yi Zhao;Dhaker Abbess

{"title":"Optimal Scheduling Strategy of Networked Data Centers in Multiple Transactive Energy Markets","authors":"Meng Song;Xingyu Yan;Xudong Wang;Ciwei Gao;Wenhan Zhang;Shiwei Xia;Yi Zhao;Dhaker Abbess","doi":"10.17775/CSEEJPES.2023.00820","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.00820","url":null,"abstract":"The transactive energy market (TEM) can dynamically regulate the distribution system's balance of supply and demand, which is a hot spot of current research. With the increasing development of data centers (DCs) with high load-shifting flexibility, it has become an important TEM market player. However, there are few studies on the optimal operation of DCs in TEMs. A bi-level optimization model of networked DCs in multiple TEMs is proposed to narrow the research gap. First, considering that the DCs with a considerable power consumption capacity can affect the market clearing price, the players in the TEM are divided into DC- and conventional-type prosumers, both of which are analytically modeled. Second, a TEM model including DCs is developed, and the alternating direction method of multipliers (ADMM) is employed to clear the market in a distributed way to avoid the privacy leakage of end users. Third, a bi-level optimal scheduling model of networked DCs in multiple TEMs is proposed to allocate the workloads among DCs optimally. The operating behaviors of TEMs where DCs are located are included. Fourth, differential evolution and metamodel are employed to solve the proposed bi-level optimization problem efficiently. Simulation results show that the proposed method can increase the benefit of networked DCs, improve the renewable energy utilization rate, and elevate the total social welfare.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2569-2584"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10609300","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-Time Dispatch via Expert Knowledge Driven Deep Reinforcement Learning 通过专家知识驱动的深度强化学习实现实时调度

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2023-06-27 DOI: 10.17775/CSEEJPES.2022.03010

Liangcheng Cheng;Jiahao Yan;Jianguo Yao;Shengchun Yang;Wenbo Mao;Kedong Zhu

{"title":"Real-Time Dispatch via Expert Knowledge Driven Deep Reinforcement Learning","authors":"Liangcheng Cheng;Jiahao Yan;Jianguo Yao;Shengchun Yang;Wenbo Mao;Kedong Zhu","doi":"10.17775/CSEEJPES.2022.03010","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.03010","url":null,"abstract":"Power system real-time dispatch (RTD) problem optimizes generator outputs considering operational constraints and high-dimensional system information such as nodal loads and network topology. Conventional deep reinforcement learning methods aim to find optimal dispatch decisions through random exploration and lead to low computational efficiency. In this paper, we decompose RTD into three subproblems, namely unit commitment, power adjustment and voltage adjustment. A reinforcement agent is constructed using an expert knowledge-based twin delayed deep deterministic policy gradient algorithm (EK-TD3) to give power adjustment decisions, while unit commitment and voltage adjustment decisions are based on capacity-rules and volt-var sensitivity rules, respectively. Regularization terms based on expert knowledge are introduced to guide exploration of the agent, including generation-load mismatch, midpoint-maintaining rule of balance generator, renewable energy consumption rate and reserve capacity availability. Weight of different regularization terms can be adjusted periodically to reflect priority of dispatch objectives. The proposed method is tested on the State Grid 126-bus system (SG-126). Results prove the proposed method has better convergence performance compared with the conventional deep reinforcement learning method, enabling its application in large-scale power systems.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2295-2307"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165657","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149133515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bi-Level Mixed-Integer Nonlinear Optimization for Pelagic Island Microgrid Group Energy Management Considering Uncertainty 考虑不确定性的远洋海岛微电网群能量管理双级混合整数非线性优化

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-03-03 DOI: 10.17775/CSEEJPES.2022.07520

Jichen Zhang;Xuan Wei;Yinliang Xu

{"title":"Bi-Level Mixed-Integer Nonlinear Optimization for Pelagic Island Microgrid Group Energy Management Considering Uncertainty","authors":"Jichen Zhang;Xuan Wei;Yinliang Xu","doi":"10.17775/CSEEJPES.2022.07520","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07520","url":null,"abstract":"To realize the safe, economical, and low-carbon operation of the pelagic island microgrid group, this paper develops a bi-level energy management framework in a joint energy-reserve market where the microgrid group (MG) operator and renewable and storage aggregators (RSA) are independent stakeholders with their interests. At the upper level, the MG operator determines the optimal transaction prices with aggregators to minimize MG operation costs while ensuring all safety constraints are satisfied under uncertainty. In the lower level, aggregators utilize vessels for battery swapping and transmission among islands in addition to energy arbitrage by participating in energy and reserve markets to maximize their revenue. An upper bound tightening iterative algorithm is proposed for the formulated problem with nonlinear terms and integer variables at the lower level to improve efficiency and reduce the gap between the upper bound and lower bound compared with the existing reformulation and decomposition algorithm. Case studies validate the effectiveness of the proposed approach and demonstrate its advantage in terms of optimality and computation efficiency compared with other methods.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2367-2379"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520194","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Promoting Low-Carbon Power-Traffic Network Operations via a Carbon Subsidy Mechanism 通过碳补贴机制推动低碳电力交通网络运营

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-09-19 DOI: 10.17775/CSEEJPES.2023.06380

Hao Cheng;Sheng Chen;Si Lyu;Yujian Ye;Zhinong Wei

{"title":"Promoting Low-Carbon Power-Traffic Network Operations via a Carbon Subsidy Mechanism","authors":"Hao Cheng;Sheng Chen;Si Lyu;Yujian Ye;Zhinong Wei","doi":"10.17775/CSEEJPES.2023.06380","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.06380","url":null,"abstract":"Reducing carbon emissions in the transportation sector necessitates a transformation from dominance of gasoline vehicles (GVs) to one of the new-energy vehicles, such as electric vehicles (EVs) and hydrogen fuel cell vehicles (HFCVs). However, existing studies typically fail to consider conditions during the transition, when GVs, EVs, and HFCVs coexist in significant proportions. The present work a ddresses these issues by developing a multi-objective optimization model with both economic and carbon emission criteria to coordinate the inter-dependent activities of power distribution networks and urban transportation networks. Equitable solutions between conflicting objectives are obtained by extracting compromise solutions using the augmented epsilon-constraint method. Incentives are obtained by implementing a carbon subsidy mechanism that dispenses financial reimbursements to EV and HFCV users according to their contributions to carbon emission reductions. The effectiveness of the proposed carbon subsidy mechanism for reducing the operational costs and carbon emissions of the two networks and incentivizing drivers to participate in low-carbon demand responses are verified via numerical results on an integrated IEEE 33-bus electric power system and a 13-node Nguyen-Dupuis transportation system.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2221-2232"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10684524","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Energy Management of Networked Multi-Energy Microgrids Based on Improved Multi-Agent Federated Reinforcement Learning 基于改进多智能体联邦强化学习的网络化多能微电网能量优化管理

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-07-24 DOI: 10.17775/CSEEJPES.2023.05920

Xiaowei Pu;Hao Xiao;Wei Pei;Yanhong Yang;Li Ma;Tengfei Ma;Shuai Zhang

{"title":"Optimal Energy Management of Networked Multi-Energy Microgrids Based on Improved Multi-Agent Federated Reinforcement Learning","authors":"Xiaowei Pu;Hao Xiao;Wei Pei;Yanhong Yang;Li Ma;Tengfei Ma;Shuai Zhang","doi":"10.17775/CSEEJPES.2023.05920","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.05920","url":null,"abstract":"The energy management of the networked multi-energy microgrids (MEMGs) contributes to promoting the consumption of renewable energy and balancing the different interests of multi-agent MEMG systems. A novel energy management method of MEMG system based on improved multi-agent federated reinforcement learning is proposed. First, this study establishes the optimization model of MEMG system considering multi-party economic benefits in P2P trading market. To solve the problems of gradient instability and low learning efficiency in traditional federated reinforcement learning with FedAvg federation strategy, a novel Federated Attention-based Multi-agent Deep Deterministic policy gradient (FA-MADDPG) framework is proposed for real-time scheduling optimization of MEMG system. In addition, this study proposes an agent exploration mechanism based on directional noise to achieve the SoC balance of distributed energy storage before and after scheduling. Finally, a numerical example is given to verify the effectiveness of the proposed method. Compared with MADDPG and federated MADDPG method, the proposed method has better convergence and energy scheduling ability, and the economic cost is reduced by 13.57% and 10.22% respectively.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2209-2220"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10609314","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149133529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stability Analysis for Direct-drive Wind Farm Transmitted via Flexible DC System Based on Dynamic Energy 基于动态能量的柔性直流系统直驱风电场稳定性分析

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-03-06 DOI: 10.17775/CSEEJPES.2022.07150

Jing Ma;Ningsai Su;Yaqi Shen

{"title":"Stability Analysis for Direct-drive Wind Farm Transmitted via Flexible DC System Based on Dynamic Energy","authors":"Jing Ma;Ningsai Su;Yaqi Shen","doi":"10.17775/CSEEJPES.2022.07150","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07150","url":null,"abstract":"When direct-drive wind farms are transmitted via flexible DC systems, the interaction between different wind farms, flexible DC converters and multiple equipment often results in sub-synchronous oscillations. Concerning this problem, this paper considers the interaction between the direct-drive wind farm and flexible DC converter station and builds the dynamic energy model of the interconnected system. According to the source of energy, the dynamic energy in the system is decomposed into four parts: the PMSG (permanent magnet synchronous generator) induction energy, the inter-generator interaction energy, the flexible DC induction energy and the generator-grid interaction energy. These four components characterize the respective contributions of the wind farm's inherent damping, the flexible DC system's inherent damping, inter-generator interaction, and generator-grid interaction to the system's overall stability. Then, based on the dynamic energy model of the system, the effects of PMSG integration distance, PMSG operation status, and flexible DC operation status on the stability level of the system are analyzed quantitatively. Finally, a model of a direct-drive wind farm transmitted via a flexible DC system is built in MATLAB/SIMULINK for simulation tests. The results verify that the interaction energy between the flexible DC converter station and PMSG and the interaction energy between the PMSGs with forced oscillation are the key factors that induce the oscillation.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2352-2366"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520813","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149133636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extended Alternating Criteria Search for Generator Maintenance Scheduling in Hydrothermal Power Systems 热液发电系统发电机维修调度的扩展交替准则搜索

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2023-11-17 DOI: 10.17775/CSEEJPES.2022.05380

Zihan Zhang;Mingbo Liu;Jiarui Dong;Zhijia Zheng;Min Xie

{"title":"Extended Alternating Criteria Search for Generator Maintenance Scheduling in Hydrothermal Power Systems","authors":"Zihan Zhang;Mingbo Liu;Jiarui Dong;Zhijia Zheng;Min Xie","doi":"10.17775/CSEEJPES.2022.05380","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.05380","url":null,"abstract":"Generator maintenance scheduling (GMS) is important for economic and secure operation of hydrothermal systems. While incorporating unit start-up and shutdown constraints can significantly enhance the practicality of the schedule, it introduces substantial computational challenges, particularly as the number of units or planning periods increases. In this paper, the GMS considering unit ON/OFF states for hydrothermal systems is formulated as a mixed-integer linear programming (MILP) model, in which network constraints and cascade coupling are also taken into account. We employ a mathematical programming-based heuristic named alternating criteria search (ACS) to solve the large MILP model. To improve solution efficiency, we adopt a check-and-add method based on ACS subproblems to deal with a large number of network constraints and extend the basic ACS to aspects of the mathematical forms of subproblems, initial solution generation scheme, and variable fixing scheme according to features of the proposed GMS. Finally, simulations of a modified IEEE 118-bus and 54-unit hydrothermal power system and a real 1348-bus and 155-unit hydrothermal power system are conducted, which show the application and extension of ACS are effective to speed up the process of finding a near-optimal solution for large-scale systems.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2282-2294"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322713","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149133805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Virtual Synchronous Generator Parameter Optimization Considering Grid Frequency Support Effect and Transient Energy Demand 考虑电网频率支持效应和暂态能量需求的虚拟同步发电机参数优化

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-09-19 DOI: 10.17775/CSEEJPES.2023.05430

Jia Liu;Xinyu Liu;Jinjun Liu;Jin Xu

{"title":"Virtual Synchronous Generator Parameter Optimization Considering Grid Frequency Support Effect and Transient Energy Demand","authors":"Jia Liu;Xinyu Liu;Jinjun Liu;Jin Xu","doi":"10.17775/CSEEJPES.2023.05430","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.05430","url":null,"abstract":"A virtual synchronous generator (VSG) is a promising control strategy in future power systems owing to its inertial support and primary frequency regulation. However, these benefits are achieved at the cost of more transient energy demand (TED) of VSG, which results in a larger energy storage (ES) and hence high cost. Therefore, a cost-efficient VSG parameter optimization procedure aimed at minimizing TED while meeting the requirements of the grid frequency support effect, is proposed in this paper. First, a systematical modelling method and calculation algorithm for the TED and the maximum grid frequency deviation (MGFD) during a frequency regulation transient is presented. Afterwards, by considering MGFD as a constraint and TED as an optimization objective, we propose an optimization approach to find the optimal VSG parameters for cost-efficient frequency support. Based on the proposed calculation and optimization algorithms, we also investigate how main VSG parameters influence MGFD and TED and how VSG penetration rate affects optimization results. Experimental results validate the accuracy of the proposed calculation and optimization algorithms. It is shown that by applying the proposed optimization procedure, the capacity of energy storage can be reduced up to 44%.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2233-2242"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10684464","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0