International Journal of Electrical Power & Energy Systems最新文献

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A Bi-level Stochastic-Robust Optimal Bidding Model of Wind-Storage System in Spot Markets Considering Internal and External Uncertainties 考虑内外不确定性的风电现货市场双水平随机鲁棒最优竞价模型
IF 5 2区 工程技术
International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-04 DOI: 10.1016/j.ijepes.2025.110591
Haowen Xu , Minglei Bao , Xun Yao , Xiaocong Sun , Yi Ding , Zhenglin Yang
{"title":"A Bi-level Stochastic-Robust Optimal Bidding Model of Wind-Storage System in Spot Markets Considering Internal and External Uncertainties","authors":"Haowen Xu ,&nbsp;Minglei Bao ,&nbsp;Xun Yao ,&nbsp;Xiaocong Sun ,&nbsp;Yi Ding ,&nbsp;Zhenglin Yang","doi":"10.1016/j.ijepes.2025.110591","DOIUrl":"10.1016/j.ijepes.2025.110591","url":null,"abstract":"<div><div>Developing effective bidding strategies in electricity spot markets is crucial for wind-storage systems (WSS) to improve profits and mitigate risk. During real operations, the bidding strategies of WSS are significantly affected by external uncertainties and internal uncertainties. However, some existing studies only consider a single influencing factor or fail to account for the interaction between the market and participants. To address this problem, a stochastic-robust optimal bidding model (OBM) of WSS considering the combined impacts of external and internal uncertainties is proposed. The proposed model is structured as a bi-level optimization problem to reflect the interaction between WSS bidding and day-ahead market clearing. At the upper level, the bidding strategy of WSS is developed based on the market clearing results by using the stochastic-robust method to consider uncertainties. In the lower level, the clearing process of the day-ahead market is modeled to determine the clearing market price and quantity. To improve computational feasibility and robustness, the modified Column-and-Constraint Generation (C&amp;CG) algorithm is applied to solve the multi-scenario problem efficiently. To validate the effectiveness and practicality of the proposed model, the paper conducts tests on the IEEE 118-bus system and a real-world large-scale system. Taking the IEEE 118-bus system as an example, compared to traditional methods, the proposed approach enables the WSS to achieve a 12% increase in average revenue and a 12.3% improvement in CVaR, indicating higher revenue with lower risk. The computation times of these two test systems are 20 min and 48 min, which can meet the requirements of practical day-ahead market operations.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110591"},"PeriodicalIF":5.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769222","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 heuristic decomposition algorithm to optimally configure superconducting fault current limiters in Large-Scale power systems 大型电力系统超导故障限流器优化配置的启发式分解算法
IF 5 2区 工程技术
International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-03 DOI: 10.1016/j.ijepes.2025.110606
Chuqin Wu , Mingbo Liu , Zihan Zhang , Min Xie
{"title":"A heuristic decomposition algorithm to optimally configure superconducting fault current limiters in Large-Scale power systems","authors":"Chuqin Wu ,&nbsp;Mingbo Liu ,&nbsp;Zihan Zhang ,&nbsp;Min Xie","doi":"10.1016/j.ijepes.2025.110606","DOIUrl":"10.1016/j.ijepes.2025.110606","url":null,"abstract":"<div><div>With the continuously expanding installed capacity of the power system, the ever-increasing short-circuit current hinders its secure operation and further development. Installing fault current limiters to suppress short-circuit current is very effective but expensive. Thus, transmission line switching and unit commitment are considered in operation to reduce the investment cost. This paper establishes the optimal configuration model of fault current limiters considering transmission line switching and unit commitment, which is a complex Mixed-Integer Linear Programming (MILP) problem. To accelerate the solution of the MILP problem, a heuristic decomposition algorithm was proposed based on Analytical Target Cascading (ATC) and a Large Neighborhood Search (LNS) algorithm, which has two stages. In the first stage, the feasible solution is constructed based on the framework of ATC and combines the idea of LNS in ATC to improve the efficiency of constructing feasible solutions. In the second stage, LNS is used to improve the feasible solution based on the decomposed sub-problem. Finally, simulations were conducted on an IEEE 118-bus and 186-branch power system and a real 727-bus and 861-branch power system. The numerical results show that for these IEEE and real systems, compared with GUROBI, the proposed algorithm is 125.7 and 10.6 times faster with only 0.04% and 0.003% higher total cost, respectively; compared with ATC, it is slightly slower with 0.2% and 0.3% lower total cost, respectively.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110606"},"PeriodicalIF":5.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760088","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
Frequency-constrained optimal power-gas flow with fast frequency response from power-to-gas units 频率约束的最优功率-气体流动与快速频率响应从电力-天然气单位
IF 5 2区 工程技术
International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-03 DOI: 10.1016/j.ijepes.2025.110648
Yu Liang, Xia Zhao
{"title":"Frequency-constrained optimal power-gas flow with fast frequency response from power-to-gas units","authors":"Yu Liang,&nbsp;Xia Zhao","doi":"10.1016/j.ijepes.2025.110648","DOIUrl":"10.1016/j.ijepes.2025.110648","url":null,"abstract":"<div><div>The substantial increase in renewable energy integration has resulted in a reduction in inertia and frequency regulation resources within the power system. This reduction poses significant challenges to maintaining system frequency stability, prompting further investigation into the rapid adjustment capabilities of gas-fired units (GFUs) and power-to-gas (P2G) units, which in turn drives the advancement of integrated electricity-gas systems (IEGSs). The coupling between the power system and natural gas system presents both considerable frequency regulation resources for the power system and the frequency stability problem for IEGSs. In this context, this paper investigates the frequency-constrained optimal power-gas flow (FC-OPGF) problem from the perspective of an IEGS. The frequency regulation behaviors of P2Gs and line-pack are formulated considering their frequency support capability. To obtain the global optimum of the FC-OPGF problem, a mixed-integer linear programming-based global optimization algorithm is developed. Case studies highlight the necessity of incorporating frequency constraints in IEGS operation, alongside demonstrating the high solving efficiency and calculation accuracy of the proposed global optimization algorithm.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110648"},"PeriodicalIF":5.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769310","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 linear programming-based framework of interval power flow analysis for distribution systems 基于线性规划的配电系统区间潮流分析框架
IF 5 2区 工程技术
International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-03 DOI: 10.1016/j.ijepes.2025.110638
Xuehan Zhang , Bairong Deng , Zhenning Pan , Tao Yu
{"title":"A linear programming-based framework of interval power flow analysis for distribution systems","authors":"Xuehan Zhang ,&nbsp;Bairong Deng ,&nbsp;Zhenning Pan ,&nbsp;Tao Yu","doi":"10.1016/j.ijepes.2025.110638","DOIUrl":"10.1016/j.ijepes.2025.110638","url":null,"abstract":"<div><div>The interval power flow (IPF) method is widely employed to address the uncertainties of renewable energy sources (RESs) in power systems. However, limited research exists on the application of mathematical optimization-based approaches to compute IPF results. Furthermore, a comprehensive framework for analyzing the derived IPF results and formulating appropriate countermeasures is still lacking. Therefore, this paper proposes a novel linear programming-based framework of IPF analysis for distribution systems, designed to enhance IPF calculation efficiency and keep system state variables within recommended limits utilizing controllable equipment. First, a linearized IPF model is proposed to improve calculation efficiency. The over-limit of system state variables is analysed based on the IPF results. Then, A countermeasure strategy utilizing controllable equipment is proposed to maintain system security under potential extreme scenarios. The output intervals of the controllable equipment are determined as scheduling references ensuring secure operation under the uncertainties. The numerical results demonstrate that the linearized formulation computes the IPF results 6.57 times faster than the non-linear method, with insignificant calculation errors (below 0.06 % for magnitudes and 0.02° for angles). The countermeasure method can successfully keep state variables within predefined ranges and provide system operators with effective scheduling reference intervals of controllable equipment under uncertainties.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110638"},"PeriodicalIF":5.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760087","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 novel fault location method for multi-terminal transmission lines based on composite analysis of time-frequency fault traveling waves 基于时频故障行波复合分析的多端传输线故障定位新方法
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 ,&nbsp;Xiangjun Zeng ,&nbsp;Hao Bai ,&nbsp;Kun Yu ,&nbsp;Min Xu ,&nbsp;Xiaolong She ,&nbsp;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 风电-太阳能-水能互补发电系统智能调度的多目标深度强化学习方法
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,&nbsp;Jun Xie,&nbsp;Jiaqi Chang,&nbsp;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 可再生能源和高压直流供电系统的开源短路电流求解器
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 ,&nbsp;Changgang Li ,&nbsp;Junjun Yang ,&nbsp;Hang Qi ,&nbsp;Wen Hua ,&nbsp;Wei Dong ,&nbsp;Lin Ye ,&nbsp;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 允许充电站运营商参与拥堵市场
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 ,&nbsp;Llorenç Burgas ,&nbsp;Marc Cañigueral ,&nbsp;Andreas Sumper ,&nbsp;Joaquim Melendez ,&nbsp;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 基于矩差分析理论的配电网最小光伏弃风
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,&nbsp;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 具有同步和逆变器资源的稳定微电网的最佳定向过流继电器设置
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 ,&nbsp;Ahmed N. Sheta ,&nbsp;M. Elgamal ,&nbsp;Juan C. Vasquez ,&nbsp;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
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