International Journal of Electrical Power & Energy Systems最新文献

{"title":"Optimal energy management strategies for aggregators in renewable energy communities","authors":"Tommaso Robbiano ,&nbsp;Matteo Fresia ,&nbsp;Martina Caliano ,&nbsp;Stefano Bracco","doi":"10.1016/j.ijepes.2025.111085","DOIUrl":"10.1016/j.ijepes.2025.111085","url":null,"abstract":"<div><div>First introduced in European directives and recently incorporated into the Italian legal framework, Renewable Energy Communities (RECs) are described as innovative organisations that can promote collaboration between active and passive users engaged in the production, sharing and consumption of locally produced energy, according to creative management schemes. The aim of this study is the implementation of Mixed-Integer Linear Programming (MILP) models to build Energy Management Systems (EMSs) for an aggregator managing a REC. The REC includes Renewable Energy Sources (RESs), Battery Energy Storage Systems (BESSs), AC and DC charging points for Electric Vehicles (EVs), and also considers the use of Vehicle-to-Building (V2B). Specifically, the “Centralised” EMS managed by the aggregator has the aim of maximising the energy shared within the REC, while minimising BESS and EV battery degradation. The optimal profiles of active power exchanges with the network are provided as reference inputs to the local EMSs of the users. Two scenarios are considered, a week in May and a week in December, to investigate the impact of different RES productions and electricity demands on energy sharing mechanisms. Through the definition of appropriate Key Performance Indicators (KPIs), this work shows that an optimal operation of the distributed energy technologies can improve the REC performance, leading to Shared Energy Index (SEI) up to 92.42% for the considered week of May. Further scenarios are investigated considering mid-season weeks (March and October) and analysing the trade-off between maximising the shared energy and minimising battery degradation of BESSs and EVs. Finally, the impact of the users’ cooperative or non-cooperative behaviour on the global energy sharing is investigated through the analysis of multiple scenarios, varying the centralised EMS awareness about REC members’ behaviour and the configuration in terms of cooperative/non-cooperative users.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111085"},"PeriodicalIF":5.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Source-network-load-storage collaborated two-stage power dispatch of active distribution network with conditional value-at-risk","authors":"Shiwei Xia ,&nbsp;Yifeng Wang ,&nbsp;Xinyuan Hu ,&nbsp;Yuting Yan ,&nbsp;Mingze Tong ,&nbsp;Haowen Liang ,&nbsp;Xiaoyun Wu ,&nbsp;Jian Huo","doi":"10.1016/j.ijepes.2025.111120","DOIUrl":"10.1016/j.ijepes.2025.111120","url":null,"abstract":"<div><div>The high penetration of distributed wind turbines (WT) and photovoltaics (PV) brings temporal volatility and uncertainty to their output, posing significant challenges to the optimal scheduling of distribution networks. By reasonably quantifying risks and coordinating the scheduling of generation, grid, load, and storage resources, risk losses can be minimized and economical operation of active distribution networks (ADN) can be achieved. Aiming at the difficulties in accurately quantifying operational risks under high renewable energy penetration, the challenges of coordinated optimization scheduling for multiple types of source-grid-load-storage devices, high system operation risks, and poor economic performance, this paper proposes a CVaR-based method to quantify operational losses in low-probability high-risk scenarios for ADN, and constructs a two-stage risk scheduling model with day-ahead and intra-day coordination of source-grid-load-storage resources. In the day-ahead scheduling stage, deterministic forecasts of wind and PV are considered, with the objective of optimizing slower-responding discrete devices to minimize the daily comprehensive operational cost of the ADN. Based on the day-ahead decisions for discrete devices, the intra-day scheduling stage introduces typical wind and PV scenarios with high-risk loss values, forming an optimal scheduling model that takes into account both multi-scenario daily comprehensive operational costs and high-risk scenario loss values. This enables optimal coordination and scheduling of fast-responding continuous devices, promoting the collaborative and optimal operation of source, grid, load, and storage equipment. Case studies show that, compared with other scheduling methods, the proposed two-stage risk scheduling model can improve the economic performance of grid operation while effectively reducing the high operating costs and violation risks caused by wind and PV fluctuations.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111120"},"PeriodicalIF":5.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient nonlinear integral backstepping control for doubly fed induction generators-based wind farm under unbalanced electrical grid voltage","authors":"Meddah Atallah ,&nbsp;Mohammed Amin Benmahdjoub ,&nbsp;Issam Salhi ,&nbsp;Abdelkader Mezouar ,&nbsp;Youcef Saidi ,&nbsp;Arnaud Gaillard","doi":"10.1016/j.ijepes.2025.111141","DOIUrl":"10.1016/j.ijepes.2025.111141","url":null,"abstract":"<div><div>This paper proposes a modified and efficient control strategy for wind farm (WF) based on doubly-fed induction generators (DFIGs) under an unbalanced electrical voltage grid. This strategy consists of two loops: the main and the auxiliary. The main loop controls the positive sequence currents of the rotor and grid-side converter (GSC) of each DFIG in the WF. In contrast, the auxiliary one is designed to regulate negative sequence currents. In this work, the positive and negative sequences of the rotor current loops of each DFIG in the WF are regulated using a nonlinear integrated backstepping controller (IBSC). The main contribution of this strategy is to ensure that the WF remains connected to the grid under severe asymmetrical faults, to reduce the oscillations caused by such faults in the electromagnetic torque, in the WF power profile, and in the DC bus voltage. Additionally, it aims to minimize the total harmonic distortion (THD) in currents of WF and enhance the power quality. To verify these objectives, the suggested strategy is compared with a single-loop strategy. This comparative study is validated through simulations performed in Matlab/Simulink software, using the S-function builder which enables its integration into actual control boards for tests under real environment.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111141"},"PeriodicalIF":5.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transfer learning based fast generation method of practical dynamic security region boundary","authors":"Yanli Liu ,&nbsp;Ziwen Jia ,&nbsp;Ruipeng Jia ,&nbsp;Wei Xu ,&nbsp;Weilun Ni","doi":"10.1016/j.ijepes.2025.111074","DOIUrl":"10.1016/j.ijepes.2025.111074","url":null,"abstract":"<div><div>The high proportion of renewable energy integration exacerbates the challenges of transient stability analysis of power systems. The practical dynamic security region (PDSR) based on the hyperplane form has outstanding advantages in situation awareness and a series of optimization problems. The key to generating PDSR lies in accurately and quickly obtaining a sufficient number of critical points located on the boundary. However, for different faults with changes in system topology, it is necessary to recalculate the critical points, which leads to the problem of not being able to quickly generate the security region boundary. Therefore, this paper proposes a rapid generation method for the PDSR boundary based on transfer learning. Firstly, feature transfer is used to minimize the distribution difference between the data of established faults and different fault operating points. On this basis, the gradient reversal layer is utilized to train and extract common features of established faults and different faults, update the parameters of the domain adversarial neural network model, and realize the identification of critical points for different faults. Finally, the PDSR boundary is generated based on the least squares fitting. The analysis of the New England 10-machine 39-bus system shows that for faults different from established ones but with similarities, the proposed method does not require recalculation. Based on the knowledge and experience of established faults, it accurately and quickly obtains the sufficient critical points needed to generate the boundary, significantly improving the generation speed of the security region boundary for different faults.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111074"},"PeriodicalIF":5.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comprehensive review on power system resilience: Definition, assessment, and enhancement strategies","authors":"M. Ghanbari,&nbsp;J. Jiang","doi":"10.1016/j.ijepes.2025.111149","DOIUrl":"10.1016/j.ijepes.2025.111149","url":null,"abstract":"<div><div>The increasing frequency of extreme events in power systems has rendered traditional operation and control techniques ineffective during these events. This has led to the emergence of the concept of power system resilience as a key area of investigation. The literature presents a variety of definitions and metrics associated with this concept. However, misconceptions, misinterpretations, and confusion exist between resilience and other well-known concepts, including reliability and robustness. This paper provides a comprehensive review of the concept of resilience, emphasizing the need for new assessment metrics and techniques for evaluation, as well as enhancement strategies. The paper has drawn the research results and resilience works from a large number of studies to provide a holistic view of this subject. Significant efforts have been made to distinguish the concept of reliability from that of resilience. The paper has also provided a state-of-the-art review of current practices in the power and energy areas and shed light on potential directions of future studies.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111149"},"PeriodicalIF":5.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Event-driven-based adaptive control for thermostatically-controlled loads with online identification of thermal parameters","authors":"Xueying Yang ,&nbsp;Qi Qi ,&nbsp;Xiang Hu ,&nbsp;Zheng Li ,&nbsp;Bing Qi ,&nbsp;Xiaodong Cao ,&nbsp;Kun Shi","doi":"10.1016/j.ijepes.2025.111145","DOIUrl":"10.1016/j.ijepes.2025.111145","url":null,"abstract":"<div><div>The participation of thermostatically-controlled loads (TCLs) in demand response (DR) can effectively alleviate the power supply pressure during extreme weather conditions. However, current control methods often assume constant thermal parameters, neglecting their variability among load devices and dynamic changes with the environment, leading to inaccurate assessment of the TCL adjustability. Furthermore, the differentiated user preferences are not effectively utilized to exploit the TCL adjustability. These factors impact the precision of TCL clusters in tracking the target power. Therefore, in this paper, an event-driven-based adaptive control strategy for TCLs with online identification of thermal parameters is proposed. Firstly, the aggregator uses a conversion function to convert the target power into the target voltage. When a load control event is triggered, the control signal is broadcast to each load agent. The agents then perform initial screening based on adaptive action thresholds to limit the number of devices acting simultaneously. An improved Transformer neural network is used for rapid online identification of thermal parameters in different load devices. Leveraging heterogeneous thermal parameters and personalized user preferences, the TCLs’ adjustability is deeply explored for autonomous decision-making. Simulation results demonstrate that the proposed strategy effectively enhances the speed and accuracy of thermal parameter identification. Under the premise of safeguarding user preferences and ensuring control fairness, more precise power tracking results are obtained.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111145"},"PeriodicalIF":5.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-timescale stochastic optimization for enhanced dispatching and operational efficiency of electric vehicle photovoltaic charging stations","authors":"Qinglin Meng ,&nbsp;Sheharyar Hussain ,&nbsp;Ying He ,&nbsp;Jinghang Lu ,&nbsp;Josep M. Guerrero","doi":"10.1016/j.ijepes.2025.111096","DOIUrl":"10.1016/j.ijepes.2025.111096","url":null,"abstract":"<div><div>Addressing the integration of global day-ahead dispatching and the necessity for real-time dispatch precision, this study proposes a novel multi-timescale stochastic dispatch strategy for photovoltaic (PV) charging stations equipped with energy storage systems. Initially, the dispatch center optimizes the energy storage system’s charging status using reduced scenario forecast data to minimize operational costs, considering uncertainties in PV power generation and charging demand. As the day progresses, this strategy dynamically updates forecasts for PV power and charging loads based on real-time data, enabling ongoing optimization of the storage system to reduce operational costs. The method strategically schedules charging and discharging activities, effectively diminishing daily operational expenses. Simulation results show that the proposed method reduces forecast errors, lowers operational costs, enhances resilience, and reliably meets electric vehicle charging demand, presenting a robust solution for future energy dispatch challenges.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111096"},"PeriodicalIF":5.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coordinated optimization scheduling of distribution network and microgrid based on dynamic networking and electricity price incentives","authors":"Chen Shao ,&nbsp;Li Chen ,&nbsp;Heyang Cao ,&nbsp;Jiaoxin Jia ,&nbsp;Zikun Zheng","doi":"10.1016/j.ijepes.2025.111114","DOIUrl":"10.1016/j.ijepes.2025.111114","url":null,"abstract":"<div><div>Addressing issues such as voltage violations in medium and low voltage distribution networks and disorderly scheduling of distributed resources, this paper proposes a dynamic network formation optimization scheme based on the Rotary Power Flow Controller (RPFC), and an electricity price incentive strategy for integrating distributed resources for microgrid clusters. First, an optimal operation strategy based on RPFC-dominated dynamic network formation and electricity price incentives on the distribution network side is proposed, and a two-layer, phased optimization model is established. Secondly, an autonomous optimization model for the microgrid side is introduced, achieving the optimal autonomous operation of each microgrid while ensuring their privacy. Then, microgrids are treated as equivalent loads or power outputs on the distribution network side, and combined with the bidirectional power control capability of RPFC, the power flow distribution is optimized to realize dynamic network formation. Finally, through simulations using the IEEE 33-bus test system, the results show that the coordinated optimization model of distribution-microgrids, while stabilizing voltage, increased the total market revenue by 14.7 %, validating the effectiveness of the proposed model in enhancing the coordination capability of distributed resources and improving voltage quality.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111114"},"PeriodicalIF":5.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Shapley value-based dynamic ensemble framework for short-term load forecasting of industrial consumers","authors":"Fengtao Li ,&nbsp;Haizhou Liu ,&nbsp;Hongrui Chen ,&nbsp;Yuanshi Zhang ,&nbsp;Weiqi Pan ,&nbsp;Yujie Zhao","doi":"10.1016/j.ijepes.2025.111102","DOIUrl":"10.1016/j.ijepes.2025.111102","url":null,"abstract":"<div><div>The large-scale integration of distributed energy resources requires accurate short-term load forecasting for modern power systems to maintain supply–demand balance and operational efficiency. This study focuses on the demand-side forecasting of industrial consumers, which requires precise forecasting to optimize demand response capabilities. To address the limitations of static prediction architectures in capturing multi-scale dynamic features and high-dimensional coupling characteristics of industrial loads, we propose a Shapley value-based dynamic ensemble learning framework that strategically integrates statistical models, machine learning models and deep learning models. By introducing Shapley values in the cooperative game theory to quantify individual model contributions and dynamically adjust the ensemble weights, the method achieves robust adaptation to load variations while maintaining high computational efficiency. The follow-up case study on high-resolution industrial load data demonstrates its superior performance over conventional static prediction architectures and static weighting schemes across multiple scenarios.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111102"},"PeriodicalIF":5.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-path routing based intelligent fault detection strategy for microgrids","authors":"Mohammad Hossein Afshari ,&nbsp;Bahador Fani ,&nbsp;Iman Sadeghkhani ,&nbsp;Hadi Saghafi","doi":"10.1016/j.ijepes.2025.111119","DOIUrl":"10.1016/j.ijepes.2025.111119","url":null,"abstract":"<div><div>The increasing integration of renewable energy sources (RES) and frequent topological changes in modern power systems pose significant challenges to overcurrent protection. These include non-selective tripping, protection miscoordination, and fault detection failures. This paper proposes a novel routing-based protection strategy that leverages multiple communication paths, classified as Main, Reserved, Source, and Reference, to enhance fault localization and coordination. Faults are mapped across routing areas (RAs), and information is exchanged via Intelligent Electronic Devices (IEDs) using the IEC 61850 protocol. Each path comprises Flow Areas (FAs) with neighboring IEDs that dynamically contribute to fault clearing based on their role in the path. Unlike conventional methods, the proposed strategy does not require changes to relay settings during faults. It ensures effective operation regardless of the location or penetration level of distributed generation (DG) units. Additionally, it addresses challenges related to fault current direction changes caused by topology shifts, and it enables IEDs to detect and learn new connection points in real time. The strategy is validated through simulations in ETAP, demonstrating improved selectivity, coordination, and reliability under diverse fault scenarios.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111119"},"PeriodicalIF":5.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}