Journal of Modern Power Systems and Clean Energy最新文献_第10页

Multi-Time-Scale Resource Allocation Based on Long-Term Contracts and Real-Time Rental Business Models for Shared Energy Storage Systems 基于共享储能系统长期合同和实时租赁商业模式的多时间尺度资源分配

IF 6.3 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-03-05 DOI: 10.35833/MPCE.2023.000744

Yuxuan Zhuang;Zhiyi Li;Qipeng Tan;Yongqi Li;Minhui Wan

{"title":"Multi-Time-Scale Resource Allocation Based on Long-Term Contracts and Real-Time Rental Business Models for Shared Energy Storage Systems","authors":"Yuxuan Zhuang;Zhiyi Li;Qipeng Tan;Yongqi Li;Minhui Wan","doi":"10.35833/MPCE.2023.000744","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000744","url":null,"abstract":"The push for renewable energy emphasizes the need for energy storage systems (ESSs) to mitigate the unpre-dictability and variability of these sources, yet challenges such as high investment costs, sporadic utilization, and demand mismatch hinder their broader adoption. In response, shared energy storage systems (SESSs) offer a more cohesive and efficient use of ESS, providing more accessible and cost-effective energy storage solutions to overcome these obstacles. To enhance the profitability of SESSs, this paper designs a multi-time-scale resource allocation strategy based on long-term contracts and real-time rental business models. We initially construct a life cycle cost model for SESS and introduce a method to estimate the degradation costs of multiple battery groups by cycling numbers and depth of discharge within the SESS. Subsequently, we design various long-term contracts from both capacity and energy perspectives, establishing associated models and real-time rental models. Lastly, multi-time-scale resource allocation based on the decomposition of user demand is proposed. Numerical analysis validates that the business model based on long-term contracts excels over models operating solely in the real-time market in economic viability and user satisfaction, effectively reducing battery degradation, and leveraging the aggregation effect for SESS can generate an additional increase of 10.7% in net revenue.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"12 2","pages":"454-465"},"PeriodicalIF":6.3,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10460468","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 Planning and Operation of Multi-Type Flexible Resources Based on Differentiated Feature Matching in Regional Power Grid with High Proportion of Clean Energy 高清洁能源比例区域电网中基于差异化特征匹配的多类型灵活资源优化规划与运行

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-03-05 DOI: 10.35833/MPCE.2023.000741

Jie Li;Xiaoming Liu;Zixuan Zheng;Xianyong Xiao;Shu Zhang;Hongzhi Gao;Yongjun Zhou

{"title":"Optimal Planning and Operation of Multi-Type Flexible Resources Based on Differentiated Feature Matching in Regional Power Grid with High Proportion of Clean Energy","authors":"Jie Li;Xiaoming Liu;Zixuan Zheng;Xianyong Xiao;Shu Zhang;Hongzhi Gao;Yongjun Zhou","doi":"10.35833/MPCE.2023.000741","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000741","url":null,"abstract":"The optimal planning and operation of multi-type flexible resources (FRs) are critical prerequisites for maintaining power and energy balance in regional power grids with a high proportion of clean energy. However, insufficient consideration of the multi-dimensional and heterogeneous features of FRs, such as the regulation characteristics of diversified battery energy storage systems (BESSs), poses a challenge in economically relieving imbalance power and adequately sharing feature information between power supply and demand. In view of this disadvantage, an optimal planning and operation method based on differentiated feature matching through response capability characterization and difference quantification of FRs is proposed in this paper. In the planning stage, a model for the optimal planning of diversified energy storages (ESs) including Lithium-ion battery (Li-B), supercapacitor energy storage (SC-ES), compressed air energy storage (CAES), and pumped hydroelectric storage (PHS) is established. Subsequently, in the operating stage, the potential, direction, and cost of FR response behaviors are refined to match with the power and energy balance demand (PEBD) of power grid operation. An optimal operating algorithm is then employed to quantify the feature differences and output response sequences of multi-type FRs. The performance and effectiveness of the proposed method are demonstrated through comparative studies conducted on an actual regional power grid in northwest China. Analysis and simulation results illustrate that the proposed method can effectively highlight the advantages of BESSs compared with other ESs, and economically reduce imbalance power of the regional power grid under practical operating conditions.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"12 6","pages":"1724-1736"},"PeriodicalIF":5.7,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10460467","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Optimization for Power Distribution and Maintenance Schedules of Paralleled Transmission Channels in AC/DC Power System 交直流电力系统并联输电通道配电及维护计划优化

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-03-03 DOI: 10.35833/MPCE.2023.001028

Jie Liu;Shunjiang Lin;Weikun Liang;Yanghua Liu;Mingbo Liu

{"title":"Optimization for Power Distribution and Maintenance Schedules of Paralleled Transmission Channels in AC/DC Power System","authors":"Jie Liu;Shunjiang Lin;Weikun Liang;Yanghua Liu;Mingbo Liu","doi":"10.35833/MPCE.2023.001028","DOIUrl":"https://doi.org/10.35833/MPCE.2023.001028","url":null,"abstract":"As transmission power among interconnected regional grids is increasing rapidly, formulating the power distribution and maintenance schedules of multiple paralleled transmission channels are critical to ensure the secure and economic operation in an AC/DC power system. A coordinated optimization for power distribution and maintenance schedules (COPD-MS) of multiple paralleled transmission channels is proposed, and the active power losses of the resistances of earth line in the high-voltage direct current (HVDC) transmission lines are taken into account when one pole is under maintenance while the other pole is operating under monopolar ground circuit. To solve the proposed COPD-MS model efficiently, the generalized Benders decomposition (GBD) algorithm is used to decompose the proposed COPD-MS model into master problem of maintenance scheduling and sub-problems of power distribution scheduling, and the optimal solution of the original model is obtained by the alternative iteration between them. Moreover, a recursive acceleration (RA) algorithm is proposed to solve the master problem, which can directly obtain its solution in the new iteration by using the solution in the last iteration and the newly added Benders cut. Convex relaxation techniques are applied to the nonlinear constraints in the sub-problem to ensure the reliable convergence. Additionally, since there is no coupling among the power distributions during each time interval in the sub-problem, parallel computing technology is used to improve the computational efficiency. Finally, case studies on the modified IEEE 39-bus system and an actual 1524-bus large-scale AC/DC hybrid power system demonstrate the effectiveness of the proposed COPD-MS model.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"12 6","pages":"2030-2044"},"PeriodicalIF":5.7,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

From Viewpoint of Reserve Provider: A Day-Ahead Multi-Stage Robust Optimization Reserve Provision Method for Microgrid with Energy Storage 从储备提供者的角度：带储能微电网的日前多阶段稳健优化储备供应方法

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-03-03 DOI: 10.35833/MPCE.2023.000718

Ye Tang;Qiaozhu Zhai;Yuzhou Zhou

{"title":"From Viewpoint of Reserve Provider: A Day-Ahead Multi-Stage Robust Optimization Reserve Provision Method for Microgrid with Energy Storage","authors":"Ye Tang;Qiaozhu Zhai;Yuzhou Zhou","doi":"10.35833/MPCE.2023.000718","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000718","url":null,"abstract":"Energy storage (ES), as a fast response technology, creates an opportunity for microgrid (MG) to participate in the reserve market such that MG with ES can act as an independent reserve provider. However, the potential value of MG with ES in the reserve market has not been well realized. From the viewpoint of reserve provider, a novel day-ahead model is proposed comprehensively considering the effect of the real-time scheduling process, which differs from the model that MG with ES acts as a reserve consumer in most existing studies. Based on the proposed model, MG with ES can schedule its internal resources to give reserve service to other external systems as well as to realize optimal self-scheduling. Considering that the proposed model is just in concept and cannot be directly solved, a multi-stage robust optimization reserve provision method is proposed, which leverages the structure of model constraints. Next, the original model can be converted into a mixed-integer linear programming problem and the model is tractable with guaranteed solution feasibility. Numerical tests in a real-world context are provided to demonstrate efficient operation and economic performance.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"12 5","pages":"1535-1547"},"PeriodicalIF":5.7,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Multi-Stage Provincial Power Expansion Planning and Multi-Market Trading Equilibrium 多阶段省级电力扩张规划与多市场交易平衡

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-03-03 DOI: 10.35833/MPCE.2024.000171

Guangsheng Pan;Zhongfan Gu;Yuanyuan Sun;Kaiqi Sun;Wei Gu

{"title":"Multi-Stage Provincial Power Expansion Planning and Multi-Market Trading Equilibrium","authors":"Guangsheng Pan;Zhongfan Gu;Yuanyuan Sun;Kaiqi Sun;Wei Gu","doi":"10.35833/MPCE.2024.000171","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000171","url":null,"abstract":"Decarbonization in the power sector is one of the critical factors in achieving carbon neutrality, and the top-level design needs to be carried out from the perspective of power planning. A multi-stage provincial power expansion planning (PPEP) model is proposed to simulate the power expansion planning at different stages of the power systems rich in renewable energy generation. This model covers 16 types of power supply, considering macro-policy demands and micro-operation constraints. The stand-alone capacity aggregation model for coal-based units within the PPEP model allows for accurate construction and retirement with different stand-alone capacities. Moreover, the soft dynamic time warping (soft-DTW) based \u0000<tex>$K-text{medoids}$</tex>\u0000 technique is adopted to generate typical scenarios for balancing the model accuracy and solution efficiency. Additionally, a multi-market trading equilibrium (MMTE) mechanism is proposed to address the differences in the levelized cost of energy between the coal-based and renewable-based units by participating in energy and ancillary service markets. Since the coal-based units take on the task of providing ancillary services from renewable-based units in the ancillary service market, the MMTE mechanism can effectively equalize the profits of both by having renewable-based units purchase ancillary services from coal-based units and pay for them, thus improving the motivation of coal-based units. A case study in Xinjiang province, China, verifies the effectiveness of the planning results of the PPEP model and the profit equilibrium realization of the MMTE mechanism.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"12 5","pages":"1652-1665"},"PeriodicalIF":5.7,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142328378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Coordinated Feedback Power Control Method for Hybrid Multi-Infeed HVDC System 混合多馈直流系统的协调反馈功率控制方法

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-03-03 DOI: 10.35833/MPCE.2023.000586

Jiachen Zhang;Qi Xie;Zixuan Zheng;Chunyi Guo;Yi Zou;Jie Ren

{"title":"Coordinated Feedback Power Control Method for Hybrid Multi-Infeed HVDC System","authors":"Jiachen Zhang;Qi Xie;Zixuan Zheng;Chunyi Guo;Yi Zou;Jie Ren","doi":"10.35833/MPCE.2023.000586","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000586","url":null,"abstract":"During the power modulation process of line commutated converter-based high-voltage direct current (LCC-HVDC), the transient power mismatch between the fast-change converter station and the slow-response reactive power compensators (RPCs) can cause transient voltage disturbances at the weak sending end of the AC grid. To mitigate such voltage disturbances, this paper proposes a coordinated feedback power control method for the hybrid multi-infeed HVDC (HMI-HVDC) system comprising an LCC-HVDC and voltage source converter-based HVDC (VSC-HVDC) systems. The mechanism of the disturbance caused by transient power mismatch is quantitatively analyzed, and the numerical relationship between the instantaneous unbalanced power and the AC voltage is derived. Based on the numerical relationship and considering the time-varying relationship of reactive power between converter stations, the unbalanced power is set as the feedback and coordinately distributed among the inverter stations of VSC-HVDC, and the rectifier and the inverter stations of LCC-HVDC. Simulation results verify that the proposed method can effectively suppress voltage disturbance without relying on remote communication, thus enhancing the operation performance of the HMI-HVDC system.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"12 6","pages":"2045-2057"},"PeriodicalIF":5.7,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Distributed Source-Load-Storage Cooperative Low-Carbon Scheduling Strategy Considering Vehicle-to-Grid Aggregators 考虑车辆到电网聚合器的分布式源-负载-存储合作低碳调度策略

IF 6.3 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-28 DOI: 10.35833/MPCE.2023.000742

Xiao Xu;Ziwen Qiu;Teng Zhang;Hui Gao

{"title":"Distributed Source-Load-Storage Cooperative Low-Carbon Scheduling Strategy Considering Vehicle-to-Grid Aggregators","authors":"Xiao Xu;Ziwen Qiu;Teng Zhang;Hui Gao","doi":"10.35833/MPCE.2023.000742","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000742","url":null,"abstract":"The vehicle-to-grid (V2G) technology enables the bidirectional power flow between electric vehicle (EV) batteries and the power grid, making EV-based mobile energy storage an appealing supplement to stationary energy storage systems. However, the stochastic and volatile charging behaviors pose a challenge for EV fleets to engage directly in multi-agent cooperation. To unlock the scheduling potential of EVs, this paper proposes a source-load-storage cooperative low-carbon scheduling strategy considering V2G aggregators. The uncertainty of EV charging patterns is managed through a rolling-horizon control framework, where the scheduling and control horizons are adaptively adjusted according to the availability periods of EVs. Moreover, a Minkowski-sum based aggregation method is employed to evaluate the scheduling potential of aggregated EV fleets within a given scheduling horizon. This method effectively reduces the variable dimension while preserving the charging and discharging constraints of individual EVs. Subsequently, a Nash bargaining based cooperative scheduling model involving a distribution system operator (DSO), an EV aggregator (EVA), and a load aggregator (LA) is established to maximize the social welfare and improve the low-carbon performance of the system. This model is solved by the alternating direction method of multipliers (ADMM) algorithm in a distributed manner, with privacy of participants fully preserved. The proposed strategy is proven to achieve the objective of low-carbon economic operation.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"12 2","pages":"440-453"},"PeriodicalIF":6.3,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10453376","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Co-Optimization of Behind-the-Meter and Front-of-Meter Value Streams in Community Batteries 社区电池表后和表前价值流的共同优化

IF 6.3 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-28 DOI: 10.35833/MPCE.2023.000746

Carmen Bas Domenech;Antonella Maria De Corato;Pierluigi Mancarella

引用次数: 0

Scenario-Based Optimal Real-Time Charging Strategy of Electric Vehicles with Bayesian Long Short-Term Memory Networks 基于场景的贝叶斯长短期记忆网络优化电动汽车实时充电策略

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-26 DOI: 10.35833/MPCE.2023.000512

Hongtao Ren;Chung-Li Tseng;Fushuan Wen;Chongyu Wang;Guoyan Chen;Xiao Li

{"title":"Scenario-Based Optimal Real-Time Charging Strategy of Electric Vehicles with Bayesian Long Short-Term Memory Networks","authors":"Hongtao Ren;Chung-Li Tseng;Fushuan Wen;Chongyu Wang;Guoyan Chen;Xiao Li","doi":"10.35833/MPCE.2023.000512","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000512","url":null,"abstract":"Joint operation optimization for electric vehicles (EVs) and on-site or adjacent photovoltaic generation (PVG) are pivotal to maintaining the security and economics of the operation of the power system concerned. Conventional offline optimization algorithms lack real-time applicability due to uncertainties involved in the charging service of an EV charging station (EVCS). Firstly, an optimization model for real-time EV charging strategy is proposed to address these challenges, which accounts for environmental uncertainties of an EVCS, encompassing EV arrivals, charging demands, PVG outputs, and the electricity price. Then, a scenario-based two-stage optimization approach is formulated. The scenarios of the underlying uncertain environmental factors are generated by the Bayesian long short-term memory (B-LSTM) network. Finally, numerical results substantiate the efficacy of the proposed optimization approach, and demonstrate superior profitability compared with prevalent approaches.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"12 5","pages":"1572-1583"},"PeriodicalIF":5.7,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10445407","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

An Analytical Method for Delineating Feasible Region for PV Integration Capacities in Net-zero Distribution Systems Considering Battery Energy Storage System Flexibility 考虑电池储能系统灵活性的净零配电系统中光伏集成能力可行区域划分分析方法

IF 6.3 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-26 DOI: 10.35833/MPCE.2023.000633

Shida Zhang;Shaoyun Ge;Hong Liu;Guocheng Hou;Chengshan Wang

{"title":"An Analytical Method for Delineating Feasible Region for PV Integration Capacities in Net-zero Distribution Systems Considering Battery Energy Storage System Flexibility","authors":"Shida Zhang;Shaoyun Ge;Hong Liu;Guocheng Hou;Chengshan Wang","doi":"10.35833/MPCE.2023.000633","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000633","url":null,"abstract":"To provide guidance for photovoltaic (PV) system integration in net-zero distribution systems (DSs), this paper proposes an analytical method for delineating the feasible region for PV integration capacities (PVICs), where the impact of battery energy storage system (BESS) flexibility is considered. First, we introduce distributionally robust chance constraints on network security and energy/carbon net-zero requirements, which form the upper and lower bounds of the feasible region. Then, the formulation and solution of the feasible region is proposed. The resulting analytical expression is a set of linear inequalities, illustrating that the feasible region is a polyhedron in a high-dimensional space. A procedure is designed to verify and adjust the feasible region, ensuring that it satisfies network loss constraints under alternating current (AC) power flow. Case studies on the 4-bus system, the IEEE 33-bus system, and the IEEE 123-bus system verify the effectiveness of the proposed method. It is demonstrated that the proposed method fully captures the spatio-temporal coupling relationship among PVs, loads, and BESSs, while also quantifying the impact of this relationship on the boundaries of the feasible region.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"12 2","pages":"475-487"},"PeriodicalIF":6.3,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10445408","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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