International Journal of Electrical Power & Energy Systems最新文献

A novel fault location method for multi-terminal transmission lines based on composite analysis of time-frequency fault traveling waves

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-01 DOI: 10.1016/j.ijepes.2025.110600

Jupeng Zeng , Xiangjun Zeng , Hao Bai , Kun Yu , Min Xu , Xiaolong She , Feng Liu

{"title":"A novel fault location method for multi-terminal transmission lines based on composite analysis of time-frequency fault traveling waves","authors":"Jupeng Zeng , Xiangjun Zeng , Hao Bai , Kun Yu , Min Xu , Xiaolong She , Feng Liu","doi":"10.1016/j.ijepes.2025.110600","DOIUrl":"10.1016/j.ijepes.2025.110600","url":null,"abstract":"<div><div>In order to solve the problems such as complex fault branch determination, large fault location error and low error tolerance of the existing multi-terminal transmission line (MTTL) fault location method, due to the influence of fault traveling wave (FTW) wave head (WH) time extraction accuracy and network topology structure, a novel fault location method for MTTLs based on composite analysis of time–frequency FTW is proposed. The FTW location mechanism for MTTLs is firstly revealed. According to the characteristic that the FTW natural frequency (NF) is inversely proportional to the transmission distance, the fault branch determination vector is defined, and the corresponding principle is proposed to determine the fault branch. On this basis, the multi-terminal FTW data with adaptive FTW velocity capability are surface-fitted by using the characteristic that the transmission time of FTW is directly proportional to the transmission distance, so as to achieve fault precise location. The PSCAD/EMTDC simulation and laboratory test results show that this method has a simple fault location process and high location accuracy under various fault conditions, effectively reduces the influence of harsh environment, FTW velocity inhomogeneous and WH time extraction error on the location results, and has high error tolerance.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110600"},"PeriodicalIF":5.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739070","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

A multi-objective deep reinforcement learning method for intelligent scheduling of wind-solar-hydro-battery complementary generation systems

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-31 DOI: 10.1016/j.ijepes.2025.110635

Yuanyu Ge, Jun Xie, Jiaqi Chang, Shuo Feng

{"title":"A multi-objective deep reinforcement learning method for intelligent scheduling of wind-solar-hydro-battery complementary generation systems","authors":"Yuanyu Ge, Jun Xie, Jiaqi Chang, Shuo Feng","doi":"10.1016/j.ijepes.2025.110635","DOIUrl":"10.1016/j.ijepes.2025.110635","url":null,"abstract":"<div><div>Renewable energy resources are rapidly developing to pursue carbon neutrality. However, integrating these sources poses challenges due to their randomness, volatility, and spatial–temporal mismatch of energy-electricity demand. One effective solution is the complementary operation and bundled external delivery of wind, solar, battery storage, and cascade hydropower. However, the uncertainty of wind and solar and the complexity of multi-energy coupling systems increase the difficulty of power scheduling, making it challenging for traditional methods to overcome these obstacles. Thus, this work presents an intelligent scheduling method based on multi-objective deep reinforcement learning (MODRL) for the wind-solar-hydro-battery complementary system (WSHBCS). Firstly, a multi-objective scheduling model is established. Meanwhile, this work proposes a MODRL framework to learn the scheduling strategy for multiple competing objectives. Then, the scheduling problem is developed into a Markov decision process (MDP), in which the state, action, and reward functions of the WSHBCS are designed accordingly. Finally, a multi-policy twin delayed deep deterministic policy gradient (MPTD3) method is put forth to achieve intelligent decisions in continuous action spaces. Simulation results indicate that the proposed intelligent scheduling method effectively achieves multi-objective scheduling for the WSHBCS, outperforming traditional heuristic optimization methods in terms of multi-objective optimization performance, uncertainty adaptability, and solution time.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110635"},"PeriodicalIF":5.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739068","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

Open-source short-circuit current solver for power systems with renewable energy sources and HVDC links

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-31 DOI: 10.1016/j.ijepes.2025.110651

Jian Wang , Changgang Li , Junjun Yang , Hang Qi , Wen Hua , Wei Dong , Lin Ye , Vladimir Terzija

{"title":"Open-source short-circuit current solver for power systems with renewable energy sources and HVDC links","authors":"Jian Wang , Changgang Li , Junjun Yang , Hang Qi , Wen Hua , Wei Dong , Lin Ye , Vladimir Terzija","doi":"10.1016/j.ijepes.2025.110651","DOIUrl":"10.1016/j.ijepes.2025.110651","url":null,"abstract":"<div><div>Large-scale integration of renewable energy sources (RES) and high voltage direct current (HVDC) links have changed the power system short-circuit current (SCC) level significantly. Traditional SCC solvers for systems dominated by synchronous generators are no longer applicable. This paper provides an open-source SCC solver based on Simulation Toolkit for Electrical Power Systems (STEPS). It supports SCC analysis for power systems with RES and HVDC and allows customized extensions for emerging RES and HVDC control models. In the solver, the sequence models are created for RES and HVDC to support the research on changes in SCC characteristics. To speed up the calculation of equivalent impedance for different fault locations, a new method without adding new bus at the fault location is proposed. The solver provides iterative SCC calculation and direct solving functionality with a range of additional features. Flexible options are provided and configurable to cope with different calculation scenarios. The accuracy of the SCC solver is compared with PSS/E. Meanwhile, numerical examples considering RES and HVDC links are provided to demonstrate the practicality of the solver.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110651"},"PeriodicalIF":5.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739067","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

Enabling charging point operators for participation in congestion markets

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-31 DOI: 10.1016/j.ijepes.2025.110604

Joaquim Massana , Llorenç Burgas , Marc Cañigueral , Andreas Sumper , Joaquim Melendez , Joan Colomer

{"title":"Enabling charging point operators for participation in congestion markets","authors":"Joaquim Massana , Llorenç Burgas , Marc Cañigueral , Andreas Sumper , Joaquim Melendez , Joan Colomer","doi":"10.1016/j.ijepes.2025.110604","DOIUrl":"10.1016/j.ijepes.2025.110604","url":null,"abstract":"<div><div>This paper explores the viability of electric vehicle charging point operators to act as flexibility service providers in local flexibility markets. The work focuses on the requirements for operating in local intra-day markets and specifically in solving grid congestion at the distribution level. The explored approach assumes an alternative to bilateral agreements constrained to the capacity of the charging point operator to forecast the electric vehicle demand and flexibility effectively.</div><div>The current paper analyses the flexibility capacity and proposes a methodology to address the re-dispatch process within the GOPACS (The Netherlands) context.The flexibility estimation methodology comprises two forecasting steps: forecasting the aggregated flexibility capacity and forecasting electric vehicles flexibility. A detailed case study presents data from the real electric vehicle sessions in Amsterdam City. The experimental results validate the effectiveness of the proposed methodology, establishing a robust basis for further research.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110604"},"PeriodicalIF":5.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739069","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

Minimum PV curtailment for distribution networks based on moment difference analysis theory

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-31 DOI: 10.1016/j.ijepes.2025.110654

Yi Wang, Junyong Wu

{"title":"Minimum PV curtailment for distribution networks based on moment difference analysis theory","authors":"Yi Wang, Junyong Wu","doi":"10.1016/j.ijepes.2025.110654","DOIUrl":"10.1016/j.ijepes.2025.110654","url":null,"abstract":"<div><div>The high penetration of distributed photovoltaic (DPV) systems in distribution networks (DNs) can lead to a series of issues such as reverse power flows and voltage violations, posing a significant threat to the safe operation of DNs. Achieving the minimum curtailment of DPV in DNs is one of the most direct and cost-effective means to ensure their safe operation and effectively utilize renewable energy sources under existing conditions. Introducing the concepts of PV moments and load moments, the moment difference analysis theory (MDAT) for DNs with DPV is proposed. This theory transforms the integration challenge of DPV into a problem of balancing the moment difference (MD) equations for power restoration and maintenance. For a given DN, when the highest node voltage reaches the specified voltage limit, the MD, defined as the difference between PV moments and load moments, approximates a constant known as the critical moment difference (CMD). This CMD is determined by the topological structure and line parameters of the DN, independent of load distribution and PV deployment. The theoretical derivations and case studies confirm this concept. The CMD represents the limit of a DN’s capacity to integrate DPV. The DPV moment is the quantity that the DN needs to accommodate, while the load moment serves as the resource for accommodating the PV moment. Based on MDAT, a method for the minimum curtailment of DPV in DNs is proposed and applied to the analysis and calculations of a 10 kV feeder line at Sichakou of the State Grid Shandong Electric Power Company and the 12.66 kV IEEE 33 bus and 69 systems. The case studies demonstrate that, compared to traditional particle swarm optimization (PSO) methods, the minimum PV curtailment strategy presented in this paper increases optimization speed by 4736.82 times under an error margin of 0.6 %. This validates the correctness and rapidity of the method, making it suitable for real-time optimization and scheduling for minimum PV curtailment in DNs.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110654"},"PeriodicalIF":5.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739066","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 directional overcurrent relay settings for stable microgrids with synchronous and inverter-based resources

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-29 DOI: 10.1016/j.ijepes.2025.110639

Abdelfattah A. Eladl , Ahmed N. Sheta , M. Elgamal , Juan C. Vasquez , Bishoy E. Sedhom

{"title":"Optimal directional overcurrent relay settings for stable microgrids with synchronous and inverter-based resources","authors":"Abdelfattah A. Eladl , Ahmed N. Sheta , M. Elgamal , Juan C. Vasquez , Bishoy E. Sedhom","doi":"10.1016/j.ijepes.2025.110639","DOIUrl":"10.1016/j.ijepes.2025.110639","url":null,"abstract":"<div><div>Microgrid (MG) is a small-scale system that offers on-site energy production and storage capabilities, allowing for the seamless integration of different technology-driven distributed energy resources (DERs), including inverter-based and synchronous-based DERs. Nonetheless, due to the changes caused by DERs in fault currents, providing protection for MGs is more challenging than traditional systems. The article examines the deployment of directional overcurrent relays (DOCRs) in MGs, considering the stability of DERs. Given the impact of inverter-based DERs’ integration and the limited inertia of synchronous-based DERs, extending the operating times of DOCRs may compromise MG stability after fault clearance. Therefore, a novel dual inverse settings for DOCRs to ensure relay coordination and MGs stability is proposed. Critical clearing times for DERs, accounting for inverter-based DER participation, are determined and integrated with coordination constraints to obtain DOCR settings using genetic algorithm. The proposed scheme is evaluated on an IEEE 33-bus test system with synchronous and inverter-based DERs.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110639"},"PeriodicalIF":5.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735192","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

Capacity allocation method for a hybrid energy storage system participating in secondary frequency regulation based on variational mode decomposition

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-29 DOI: 10.1016/j.ijepes.2025.110631

Taiying Zheng , Minghao Ye , Qinghua Wu

{"title":"Capacity allocation method for a hybrid energy storage system participating in secondary frequency regulation based on variational mode decomposition","authors":"Taiying Zheng , Minghao Ye , Qinghua Wu","doi":"10.1016/j.ijepes.2025.110631","DOIUrl":"10.1016/j.ijepes.2025.110631","url":null,"abstract":"<div><div>Hybrid Energy Storage Systems (HESSs) are extensively employed to address issues related to frequency fluctuations. This paper introduces a method for configuring the capacity of a HESS engaged in the secondary frequency regulation, utilizing Variable Mode Decomposition (VMD). An economic model for a HESS, considering lifecycle costs and frequency regulation benefits, is constructed to maximize net income. The preliminary determination of the HESS allocation is based on optimizing parameters through VMD. The frequency regulation capacity and final power allocation are established by comprehensively considering the energy storage’s state of charge and rated power. Under the requirements and operational constraints, the optimal capacity configuration for the HESS is achieved. To verify the proposed method, various factors, such as different power allocation methods, modal decomposition methods, and allocation coefficients, are considered. The results indicate that the proposed method can achieve profits even under adverse conditions in the single-day scenario. The comparison with different modal decomposition methods validates the outstanding advantages of VMD and the importance of selecting appropriate allocation coefficients. Finally, in the multi-day scenario, the recommended capacity of HESS and threshold allocation frequencies for a specific region are determined, enhancing the economic efficiency of HESS for secondary frequency regulation.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110631"},"PeriodicalIF":5.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735191","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

A cloud-edge collaborative optimization control strategy for voltage in distribution networks with PV stations

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-29 DOI: 10.1016/j.ijepes.2025.110632

Guoqing Li , Wei Wang , Dan Pang , Zhipeng Wang , Weixian Tan , Zhenhao Wang , Jinming Ge

{"title":"A cloud-edge collaborative optimization control strategy for voltage in distribution networks with PV stations","authors":"Guoqing Li , Wei Wang , Dan Pang , Zhipeng Wang , Weixian Tan , Zhenhao Wang , Jinming Ge","doi":"10.1016/j.ijepes.2025.110632","DOIUrl":"10.1016/j.ijepes.2025.110632","url":null,"abstract":"<div><div>With the continuous expansion of the power system scale and the continuous development of the power network, the traditional power system management and optimization methods face many challenges. In order to meet the requirements of voltage optimization and adjustment, the optimization problem is divided into cloud front precomputation and edge computing device cooperative optimization computation with the framework of cloud-edge cooperation. The cloud front-end precomputation uses an improved reactive-voltage sensitivity based on an improved modularity function to partition the power system on a 15 min basis and stores the results in the cloud data memory. The voltage threshold device detects the node voltage overrun and triggers the collaborative optimization computation of the edge computing devices, which sends a command to the cloud to call the partitioning result of this time period, and the cloud sends the result to each edge computing device, which determines the area it is responsible for, and adjusts the voltage overrun partitioning by using the mixed-integer second-order conic planning, and ultimately realizes the optimization strategy within the minute-level zone. Since the voltage adjustment is a fine-grained optimization of the local area, it is highly flexible and targeted. Moreover, using the cloud-edge collaboration technology, the intelligent management and optimization of the power system is finally realized. Case analysis and comparative verification show that the method proposed in this paper is accurate and highly efficient.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110632"},"PeriodicalIF":5.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735137","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

Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-29 DOI: 10.1016/j.ijepes.2025.110643

Wenlong Liao , Jiannong Fang , Birgitte Bak-Jensen , Guangchun Ruan , Zhe Yang , Fernando Porté-Agel

{"title":"Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy","authors":"Wenlong Liao , Jiannong Fang , Birgitte Bak-Jensen , Guangchun Ruan , Zhe Yang , Fernando Porté-Agel","doi":"10.1016/j.ijepes.2025.110643","DOIUrl":"10.1016/j.ijepes.2025.110643","url":null,"abstract":"<div><div>Machine learning models (e.g., neural networks) achieve high accuracy in wind power forecasting, but they are usually regarded as black boxes that lack interpretability. To address this issue, the paper proposes a glass-box model that combines high accuracy with transparency for wind power forecasting. Specifically, the core is to sum up the feature effects by constructing shape functions, which effectively map the intricate non-linear relationships between wind power output and input features. Furthermore, the forecasting model is enriched by incorporating interaction terms that adeptly capture interdependencies and synergies among the input features. The additive nature of the proposed glass-box model ensures its interpretability. Simulation results show that the proposed glass-box model effectively interprets the results of wind power forecasting from both global and instance perspectives. Besides, it outperforms most benchmark models and exhibits comparable performance to the best-performing neural networks. This dual strength of transparency and high accuracy positions the proposed glass-box model as a compelling choice for reliable wind power forecasting.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110643"},"PeriodicalIF":5.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735138","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

A source-load collaborative stochastic optimization method considering the electricity price uncertainty and industrial load peak regulation compensation benefit

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-28 DOI: 10.1016/j.ijepes.2025.110630

Xiaoyu Yue , Lijun Fu , Siyang Liao , Jian Xu , Deping Ke , Huiji Wang , Shuaishuai Feng , Jiaquan Yang , Xuehao He

{"title":"A source-load collaborative stochastic optimization method considering the electricity price uncertainty and industrial load peak regulation compensation benefit","authors":"Xiaoyu Yue , Lijun Fu , Siyang Liao , Jian Xu , Deping Ke , Huiji Wang , Shuaishuai Feng , Jiaquan Yang , Xuehao He","doi":"10.1016/j.ijepes.2025.110630","DOIUrl":"10.1016/j.ijepes.2025.110630","url":null,"abstract":"<div><div>Energy-intensive industrial load offers substantial capacity and rapid adjustment capabilities, which can be effectively coordinated with deep peak regulation (DPR) methods of thermal power to optimize the peak regulation state of the system. The uncertainty of electricity prices and the current peak regulation compensation mechanism significantly affect the economic viability of industrial load regulation. In this study, electrolytic aluminum load (EAL) is used as a representative industrial load. This paper combines the complete ensemble empirical mode decomposition adaptive noise (CEEMDAN), whale optimization algorithm (WOA), and long short-term memory network (LSTM) to propose a CEEMDAN-WOA-LSTM prediction model for electricity price scenarios. Subsequently, comprehensive cost and fine adjustment models for electrolytic aluminum load (EAL) are developed, incorporating the current peak regulation compensation mechanism. Finally, a source-load collaborative stochastic optimization method is proposed, integrating the scenario method and chance constraints. The effectiveness of the proposed scheme is verified using a real regional system, demonstrating significant reductions in total social peak regulation costs, a substantial decrease in renewable energy (RE) abandonment rates, reduced frequency of thermal power DPR, and improved economic efficiency of thermal power. Additionally, the current peak regulation compensation mechanism effectively guarantees the benefits of EAL and encourages its adjustment willingness.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110630"},"PeriodicalIF":5.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724973","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