International Journal of Electrical Power & Energy Systems最新文献

{"title":"The evolutionary game equilibrium theory on power market bidding involving renewable energy companies","authors":"Lefeng Cheng ,&nbsp;Pan Peng ,&nbsp;Wentian Lu ,&nbsp;Jian Sun ,&nbsp;Fan Wu ,&nbsp;Mingming Shi ,&nbsp;Xiaodong Yuan ,&nbsp;Yang Chen","doi":"10.1016/j.ijepes.2025.110588","DOIUrl":"10.1016/j.ijepes.2025.110588","url":null,"abstract":"<div><div>In the electricity bidding market, power generation companies and distribution-oriented grid enterprises face increasingly complex and dynamic decision-making challenges that cannot be fully captured by static or one-shot approaches. To address these challenges, this study proposes a novel evolutionary game-theoretic framework featuring a “mixed-strategy distortion” mechanism, which introduces adaptive periodic adjustments in bidding ranges. This extension to classical evolutionary models reveals how cyclical constraints and strategic disruptions influence the emergence of cooperative equilibria and market dynamics. The study develops a theoretical framework for analyzing long-term stable equilibria in asymmetric evolutionary games involving distinct groups of power generators, underpinned by a renewable energy grid-connected benefit coordination model. Theoretical analyses are validated through dynamic simulations that examine the interplay of key parameters, including generation costs, local market demands, bidding ranges, and production capacities. The results demonstrate how variations in these factors influence the evolution of bidding strategies, providing insights into the stability of competitive equilibria in electricity markets. Furthermore, the findings highlight that rational adjustments to bidding intervals can mitigate distortions, reduce electricity prices, and promote dynamic market stability. By advancing the understanding of adaptive bidding strategies in competitive electricity markets, this research offers actionable insights for policy development, market regulation, and strategic decision-making for power generation enterprises and grid operators. These contributions provide a foundation for the design of more efficient market mechanisms, promoting both economic efficiency and sustainable energy transitions.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110588"},"PeriodicalIF":5.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601431","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}

{"title":"Enhancing photovoltaic grid integration with hybrid energy storage and a novel three-phase ten-switch inverter for superior power quality","authors":"Kotb B. Tawfiq ,&nbsp;Hatem Zeineldin ,&nbsp;Ahmed Al-Durra ,&nbsp;Ehab F. El-Sadaany","doi":"10.1016/j.ijepes.2025.110580","DOIUrl":"10.1016/j.ijepes.2025.110580","url":null,"abstract":"<div><div>This paper introduces an innovative approach to improving power quality in grid-connected photovoltaic (PV) systems through the integration of a hybrid energy storage, combining batteries and supercapacitors and a novel three-phase ten-switch (H10) inverter. The hybrid storage system enhances the stability and responsiveness of the PV system, offering both sustained energy delivery and rapid power support. The H10 inverter, controlled by a unique space vector pulse width modulation strategy, reduces common mode voltage (CMV) fluctuations and <span><math><mrow><mrow><mi>d</mi></mrow><mrow><mi>v</mi></mrow><mo>/</mo><mrow><mi>d</mi></mrow><mrow><mi>t</mi></mrow></mrow></math></span> stresses, comparable to three-level inverters but with reduced component complexity. This configuration significantly lowers leakage currents and suppresses grid current harmonics, leading to enhanced power quality. The system’s effectiveness is validated through comprehensive MATLAB simulations and experimental results, demonstrating its superiority over existing inverter topologies in reducing CMV and leakage currents while improving overall PV system performance.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110580"},"PeriodicalIF":5.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601432","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}

{"title":"Coordinated control strategy for HVDC frequency controllers in multi-area asynchronous grid","authors":"Jianxiong Lei ,&nbsp;Rongzhao Yang ,&nbsp;Weixiong Wu ,&nbsp;Weicheng Lu ,&nbsp;Weike Mo","doi":"10.1016/j.ijepes.2025.110577","DOIUrl":"10.1016/j.ijepes.2025.110577","url":null,"abstract":"<div><div>Due to the complexity and fragility of large-scale synchronous grids, utilizing High Voltage Direct Current (HVDC) links for interconnecting asynchronous grids has emerged as a significant trend in modern power systems. To address the issues of limited mutual support capability between regional grids and the declining inertia and primary frequency modulation capability of regional grids with increasing penetration of renewable energy, a coordinated control strategy for HVDC frequency controllers in multi-area asynchronous grids is proposed. Firstly, a frequency control model of multi-area asynchronous grids interconnected by HVDC is constructed, and the dynamic frequency response equations of the system are obtained. Then, considering the types of disturbances in the multi-area system comprehensively, the quantitative analysis of the steady-state frequency deviation(SSFD), and whether the rectifier and inverter sides of each regional grid participate in frequency regulation, the coordinated control strategy for HVDC frequency controllers is obtained based on an exhaustive search algorithm. Finally, the impact of control parameters in the HVDC frequency controller on system frequency stability is analyzed utilizing the state-space model. Considering the results of the stability analysis, an optimization methodology for tuning the droop parameters of the frequency controller is proposed, employing an exhaustive search algorithm. The effectiveness and feasibility of the proposed control strategy and droop parameter tuning method are verified through numerical simulations.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110577"},"PeriodicalIF":5.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601430","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}

{"title":"Smart rail power systems: From the local to the centralised control operating paradigm","authors":"Antonio Di Pasquale,&nbsp;Mario Pagano","doi":"10.1016/j.ijepes.2025.110554","DOIUrl":"10.1016/j.ijepes.2025.110554","url":null,"abstract":"<div><div>Despite extensive scientific literature on the smart grid concept for buildings, neighbourhoods, and cities, the concept of Smart Railway Systems (SRSs) remains only partially explored. As a result, this work lays the foundation for implementing the smart paradigm in traction power systems for urban applications (i.e., metro and light rail transit systems). It introduces a modern control paradigm where the supervisor exchanges data with the sub-systems (i.e., trains, energy storage systems, and substations) and defines local controllers’ set points according to optimisation strategies. Depending on the system’s configuration, two control strategies, framed as optimal power flow problems, are proposed. The effectiveness of these strategies is assessed through a comprehensive numerical analysis, where real data from Naples Line 1 metro serve as a case study.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"166 ","pages":"Article 110554"},"PeriodicalIF":5.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591606","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}

{"title":"Adaptive 2-DOF H∞ robust voltage control for PMSG considering uncertain disturbances","authors":"Zhenxing Cheng,&nbsp;Liyi Li,&nbsp;Xun Bai,&nbsp;Jiaxi Liu","doi":"10.1016/j.ijepes.2025.110582","DOIUrl":"10.1016/j.ijepes.2025.110582","url":null,"abstract":"<div><div>Gas turbine-driven permanent magnet synchronous generator (PMSG) face complex and uncertain load conditions, which can affect equipment performance and power supply reliability. To enhance system robustness, this paper proposes an adaptive two-degree-of-freedom (2-DOF) H∞ robust voltage control strategy for PMSG distributed generation system. The control structure consists of a two-degree-of-freedom H∞ controller and an adaptive internal model controller. First, an H∞ voltage controller with an H∞ load observer is proposed to suppress non-periodic disturbances. Then, an H∞ voltage feedforward controller is proposed to improve the response capabilities of the voltage command. Closed-loop stability is analyzed, and controller parameters are optimized accordingly. Finally, an adaptive internal model controller is proposed to estimate and suppress periodic load disturbances. The proposed control strategy is validated on a 60 kW turbine-driven PMSG platform. Experimental results demonstrate that the proposed control strategy significantly improves the robustness and reliability of power supply in PMSG generation system.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"166 ","pages":"Article 110582"},"PeriodicalIF":5.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591605","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}

{"title":"Interpretable analysis of transformer winding vibration characteristics: SHAP and multi-classification feature optimization","authors":"Yongteng Sun,&nbsp;Hongzhong Ma","doi":"10.1016/j.ijepes.2025.110585","DOIUrl":"10.1016/j.ijepes.2025.110585","url":null,"abstract":"<div><div>Current research on vibration-based winding looseness struggles to clearly determine the contribution of individual features to the model. This paper proposes using the distribution of the harmonic-to-fundamental frequency ratio as a feature for a 110 kV transformer and introduces the SHapley Additive exPlanations (SHAP) method to analyze feature contributions. However, since SHAP tends to overlook the recall of certain states in multi-classification problems, a feature subset optimization scheme is proposed. After conducting cross-validation with multiple classifiers and analyzing the impact of combined features, SHAP analysis is performed on the constructed features to generate a key feature union set. Once thresholds for overall accuracy and sub-state recall are set, features are sequentially removed from the union set while their compliance with the predefined thresholds is evaluated, thereby determining their retention. Experimental results show that the proposed method achieves 99.73 % accuracy in identifying winding looseness states, improving by 0.03 % compared to SHAP, while enhancing the recall of the severe fault state A3 by 0.26 %. Overall, the proposed method effectively balances accuracy and key state recall, offering a new perspective on feature analysis in fault diagnosis.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"166 ","pages":"Article 110585"},"PeriodicalIF":5.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591607","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}

{"title":"Frequency security constrained generation mix optimization with multiple heterogeneous resources","authors":"Dawei Chen ,&nbsp;Yunfeng Wen ,&nbsp;Fang Liu ,&nbsp;Guangzeng You ,&nbsp;Xiaodi Wang","doi":"10.1016/j.ijepes.2025.110593","DOIUrl":"10.1016/j.ijepes.2025.110593","url":null,"abstract":"<div><div>The increasing penetration of converter-interfaced generation has introduced significant frequency security challenges to modern power systems. From a generation portfolio perspective, this paper proposes a novel frequency security constrained generation mix optimization approach, which simultaneously considers the allocation and frequency support of multiple heterogeneous resources (i.e., synchronous generators, renewable energy units, and HVDC links). A linearized reformulation method combined with a high-accuracy bound tightening technique is developed to effectively transform the nonlinear frequency nadir constraint with multiple heterogeneous resources. An efficient adaptive piecewise linearization method for the frequency nadir is proposed to further reduce the number of frequency constraints. The case studies on the HRP-38 system and a practical power grid in China demonstrate that the proposed adaptive piecewise linearization method significantly reduces the computation time compared with the existing method, with an average improvement rate of 65.32% in various operation scenarios. The proposed generation mix model with emergency frequency control of HVDC can significantly reduce the investment cost of resources and capacity requirements of VSM by 81.6% and 222.2%, while ensuring frequency security. The bound tightening technique ensures much higher accuracy of the proposed linearized reformulation method while its solving time is 1/ 5.63 of the base method.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"166 ","pages":"Article 110593"},"PeriodicalIF":5.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591604","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}

{"title":"Modeling, simulation and measurement of converter transformer winding multi-frequency vibration Based on electromagnetic structure coupling","authors":"Peiyu Jiang,&nbsp;Fanghui Yin,&nbsp;Liming Wang","doi":"10.1016/j.ijepes.2025.110587","DOIUrl":"10.1016/j.ijepes.2025.110587","url":null,"abstract":"<div><div>The converter transformer is the key equipment of the UHV DC transmission system, assuming the function of AC/DC conversion. The electromagnetic environment and structural deformation of the converter transformer windings mutually interact under high current condition, leading to frequent winding structural deformations and potential loosening faults. Current vibration numerical models and characteristic studies fail to fully capture the coupling effects, leaving the multi-frequency harmonic vibrations in the transformer tank response unexplained. Therefore, this paper integrates electromagnetic-vibration theory with structural mechanics to establish a nonlinear coupled vibration model for the transformer winding. The model is used to calculate the multi-frequency harmonic components present in the steady-state vibration response. Detailed structural vibration simulations of the winding were then performed, analyzing the time–frequency distribution characteristics of the electromagnetic-vibration interaction. Based on a ± 800 kV full-scale converter transformer load test platform, a multi-channel vibration measurement system was utilized to measure the coupling vibration response of the transformer enclosure under various current conditions. The results from both simulations and experiments were compared, validating the accuracy of the theoretical model. The relationship between the winding vibration harmonic amplitudes and the current was identified, with significant harmonics observed at 100 Hz, 150 Hz, 200 Hz, and 250 Hz. These findings advance the electromagnetic-structural coupling vibration theory and have potential applications in diagnosing mechanical faults like winding loosening.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"166 ","pages":"Article 110587"},"PeriodicalIF":5.0,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578386","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}

{"title":"Evolutionary game-theoretical approaches for long-term strategic bidding among diverse stakeholders in large-scale and local power markets: Basic concept, modelling review, and future vision","authors":"Lefeng Cheng,&nbsp;Pengrong Huang,&nbsp;Tao Zou,&nbsp;Mengya Zhang,&nbsp;Pan Peng,&nbsp;Wentian Lu","doi":"10.1016/j.ijepes.2025.110589","DOIUrl":"10.1016/j.ijepes.2025.110589","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Evolutionary game theory (EGT) has unique advantages in analyzing the spontaneous formation of social habits, norms, institutions or systems and their influencing factors. In the electricity bidding market, power generation companies and grid enterprises encounter increasingly complex multi-subject optimization decision-making challenges that cannot be comprehensively handled by conventional optimization methods due to their reliance on centralized objectives, perfect information, and fully rational participants. This survey focuses on long-term strategic bidding strategies, which involve sustained decision-making processes over extended periods to optimize cumulative profits and market positions. Moreover, classical game models assume complete rationality, thus failing to capture the iterative and adaptive decision-making behaviors prevalent in modern power markets. However, the long-term market bidding process involving groups of generators in the power generation-side market (PGM) under asymmetric information conditions is a complex process of long-term dynamic evolution. To contextualize these complexities, we incorporate a comparative survey illustrating the main methods, assumptions, and knowledge gaps in existing research, ensuring a clear understanding of why evolutionary game-theoretic approaches can more thoroughly capture the dynamic, bounded-rational nature of bidding. This paper reviews in detail the research on the application of EGT to multi-group bidding games in PGMs. First, the basic structure and development history of EGT are briefly introduced, and the essential differences between EGT and classical game theory (CGT) in terms of modeling are compared from several aspects, based on which several core concepts of EGT are further elaborated. Then, the relevant theories of electricity market (EM) are described, especially for the PGM, the definition and characteristics of EM are described, and the typical PGM transaction model and market bidding mechanism are summarized. Following that, this paper reviews and analyzes the current status of research on bidding strategies in PGMs from four aspects, including cost analysis of generators, electricity price forecasting, bidding behavior, and bidding decision support systems. On this basis, this paper reviews the research on the application of game theory, especially EGT, to long-term strategic bidding in PGM. In this paper, we also present a comparative case study between CGT and EGT to demonstrate how EGT better accounts for bounded rationality and dynamic strategy adaptation. Through our comparative case study, we show that EGT more accurately reflects real-world complexities, producing more robust and adaptive bidding outcomes than CGT. Finally, the paper concludes with a summary and outlook, aiming to provide new insights and practical guidance for power producers to formulate effective long-term bidding strategies in actual electricity market scenarios. Overall, our wor","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"166 ","pages":"Article 110589"},"PeriodicalIF":5.0,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578388","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}

{"title":"Multi-stage energy management framework for residential communities using aggregated flexible energy resources in planned power outages","authors":"Youjun Deng ,&nbsp;Fengji Luo ,&nbsp;Yunfei Mu","doi":"10.1016/j.ijepes.2025.110584","DOIUrl":"10.1016/j.ijepes.2025.110584","url":null,"abstract":"<div><div>Modern residential communities in urban systems can benefit from energy storage devices and smart control technologies to implement self-energy supply and energy efficient load management. In this paper, a multi-stage energy management framework is proposed for smart residential communities to enhance the energy resilience in planned power outage events. The framework aggregates load shifting flexibility of the households and energy storage capability of the plug-in Electric Vehicles (EVs) in a community into virtual flexible energy resources (VFERs). It then optimizes the operation of the VFERs subjected to the ex-ante announced start and end time of the planned outage. The optimized operation plans of the VFERs are then mapped to individual controllable appliances in each household and individual EVs to determine their operation schedules via energy allocation and home energy management schemes. Numerical simulation shows compared with the methods in the literature, the proposed framework is computational efficient and highly scalable, and it can effectively minimize the disturbance of planned power outages to communities.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"166 ","pages":"Article 110584"},"PeriodicalIF":5.0,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578385","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}