Electric Power Systems Research最新文献

{"title":"Multi-parameter optimization and design of self-triggered low voltage hybrid DC circuit breaker based on machine learning","authors":"Zhaozi Zhang ,&nbsp;Caizhi Gao ,&nbsp;Weidong Cao ,&nbsp;Qian Wang ,&nbsp;Silei Chen ,&nbsp;Xingwen Li ,&nbsp;Yinfang Huang ,&nbsp;Zuoyong Gong","doi":"10.1016/j.epsr.2025.111560","DOIUrl":"10.1016/j.epsr.2025.111560","url":null,"abstract":"<div><div>The low-voltage direct current (LVDC) hybrid circuit breaker (HCB), with advantages of low conduction loss and high breaking performance is better to meet the application needs of photovoltaic system. Among these, self-triggered hybrid circuit breakers (STHCBs) based on natural commutation have become an important development direction for LVDC HCBs due to their simple structure and selective protection. However, existing design methods do not adequately consider the influence of multiple parameters, resulting in unreliable current commutation during interruption. To address these issues, this paper proposes a machine learning-based multi-parameter optimization method. The method employed Long Short-Term Memory (LSTM) algorithm to predict the interruption waveforms of mechanical switches under different short-circuit fault conditions as an input to the optimization. In addition, an interruption model of HCBs was developed, which comprehensively considered power electronic device characteristics, arc behavior and drive circuit. Based on the theoretical analysis and predicted waveforms, we used Genetic Algorithm (GA) to determine the optimal design parameters for the corresponding interruption waveforms. Experiment results confirm that this method can effectively enhance the interruption reliability of STHCBs while also demonstrates adaptability. The proposed method provides technical reference for the design of LVDC HCBs.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111560"},"PeriodicalIF":3.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal parameter tuning for voltage control thresholds in distribution networks using MOPSO and Pareto fronts","authors":"Nien-Che Yang,&nbsp;Chen-Hong Su,&nbsp;Hao Yang","doi":"10.1016/j.epsr.2025.111552","DOIUrl":"10.1016/j.epsr.2025.111552","url":null,"abstract":"<div><div>This study presents a method based on a multi-objective optimisation algorithm to improve the voltage control strategy for distributed generation, taking into account daily variations in actual loads. The proposed approach involves adjusting the voltage control thresholds of the on-load tap changer, switched capacitor, and voltage–reactive power control of smart inverters. A multi-objective particle swarm optimisation algorithm, utilizing Pareto fronts, is employed to optimise key objectives, including voltage deviation, system power losses, and the frequency of changes in the on-load tap changer and switched capacitor. By minimising these objectives, an optimal set of control set-points is determined. To validate the effectiveness of the proposed methodology, multiple operating scenarios with varying daily load patterns are simulated using the IEEE 33-bus test system. The simulation results demonstrate that the proposed approach successfully optimises voltage control, enhancing both voltage stability and distribution system reliability.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111552"},"PeriodicalIF":3.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing overcurrent relay performance in distributed generation networks: A novel non-standard time-current characteristic approach","authors":"Mian Rizwan ,&nbsp;Ciwei Gao ,&nbsp;Xingyu Yan ,&nbsp;Muhammad Usman ,&nbsp;Shafiq Ahmad ,&nbsp;Abdelaty Edrees Sayed ,&nbsp;N.M. Adamali Shah","doi":"10.1016/j.epsr.2025.111542","DOIUrl":"10.1016/j.epsr.2025.111542","url":null,"abstract":"<div><div>High-speed operation of protection relays to isolate faulted systems is critical for active distribution networks. The overcurrent relay with standard time-current characteristics is vulnerable to delayed operation or loss of sensitivity due to fault current contribution from distributed generation. The non-standard time current characteristics (NSTCCs) have been proposed in the literature to make the relay operation steadfast but it breach the relay operation time minimum constraint. In this paper, a novel non-standard time current characteristics has been proposed with a logarithm function to achieve the fast relay operation time (ROT) and rehabilitate the sensitivity of the backup relay at a lower fault current magnitude. Further, a new auxiliary variable is introduced to provide the additional time delay to avoid the oversensitive behavior of NSTCC or offset in ROT to make it faster regardless of the fault current. The stringent criteria are defined to set the boundary limits of the auxiliary variable. The proposed scheme is validated on IEEE-9, IEEE-33, and meshed IEEE-8 bus systems using ETAP and MATLAB. For the IEEE-9 bus system, it reduced ROT by 31.55% and 23.34% compared to NSTCC and STCC, respectively, while for the IEEE-33 bus system, it achieved reductions of 55.66% and 25.16%. While other schemes violated relay operation time and coordination time interval constraints, the proposed scheme met all constraints, demonstrating superior performance and reliability.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111542"},"PeriodicalIF":3.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ampacity improvement of high voltage submarine cables installed in J-tubes","authors":"Ruisong Zhang ,&nbsp;Shihao Zhang ,&nbsp;Maozhou Wang ,&nbsp;Jia Peng ,&nbsp;Zhengshi Chang ,&nbsp;Junbo Deng ,&nbsp;Shaohua Wang ,&nbsp;Yong Yang ,&nbsp;Yu Ma","doi":"10.1016/j.epsr.2025.111562","DOIUrl":"10.1016/j.epsr.2025.111562","url":null,"abstract":"<div><div>J-tubes are commonly employed to safeguard the high voltage submarine cables when extending to the offshore converter platforms, ensuring the security of cables. However, J-tubes hinder the heat dissipation and derate the cable ampacity. In this paper, using COMSOL Multiphysics 6.0 finite element simulation software, the model of <em>a</em> ± 400 kV DC submarine cable installed in J-tube is established. Simulation results reveal that the middle-upper part of the J-tube air section is the bottleneck position for the ampacity. Multiple factors, including the length of the air section, natural wind speed, and ambient temperature, are investigated to determine their influence on the ampacity of cables laid in J-tubes. Perforations on the side wall of the J-tube and the top platform for convective ventilation are proposed to enhance the ampacity. Additionally, the effects of certain influencing factors on the effectiveness of ventilation are analyzed, which indicate that adding openings on the side wall, increasing wind speed and lowering airflow temperature at the platform can improve the heat dissipation can greatly enhance the ampacity of the submarine cable. Under the most harsh summer conditions, the ampacity can be increased by at least 23.8 %. The research findings provide a new solution for guiding the design of J-tubes to enhance the ampacity of subsea cables in the J-tube segment.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111562"},"PeriodicalIF":3.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solar powered on-board charging system utilizing coupled inductor high gain converter with G2 V and V2 G operations","authors":"Ajay Singh ,&nbsp;Manoj Badoni ,&nbsp;Anjanee Kumar Mishra","doi":"10.1016/j.epsr.2025.111553","DOIUrl":"10.1016/j.epsr.2025.111553","url":null,"abstract":"<div><div>This work proposes an efficient configuration for a <strong>solar-powered on-board charging system</strong> utilizing a <strong>coupled inductor high-gain converter</strong> with <strong>Grid-to-Vehicle (G2</strong> <strong>V)</strong> and <strong>Vehicle-to-Grid (V2</strong> <strong>G)</strong> operations. The bidirectional power flow capability of an on-board charger (OBC) benefits utilities and enhances the functionality of light electric vehicles (LEVs). The design of an OBC consists of an active front-end converter (AFC) and a proposed bidirectional high gain converter (BHGC). The AFC restricts the THD of supply current within the limits specified in international standards. The BHGC converter is designed to control the charging and discharging operations in LEVs. The developed BHGC aims to minimize ripples in the charging and discharging currents. This converter can operate efficiently in both Grid-to-Vehicle (G2 V) and Vehicle-to-Grid (V2 G) modes, utilizing two energy sources viz. a utility grid and solar PV. In addition, the brushless DC (BLDC) motor is used as a traction motor in this work due to its unique features like high density, low cost, simple control, etc. The presented EV with a charging system is simulated in the MATLAB/Simulink platform, and real-time validation is performed using the Opal-RT platform. The results obtained through both the simulation and real-time prototype indicate the effectiveness of the developed charging scheme with the proposed BHG converter.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111553"},"PeriodicalIF":3.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-term load forecasting based on temporal importance analysis and feature extraction","authors":"Ji Yuqi ,&nbsp;An An ,&nbsp;Zhang Lu ,&nbsp;He Ping ,&nbsp;Liu Xiaomei","doi":"10.1016/j.epsr.2025.111551","DOIUrl":"10.1016/j.epsr.2025.111551","url":null,"abstract":"<div><div>Efficient and accurate short-term load forecasting plays a crucial role in ensuring the safe and stable operation of power systems and achieving economic management. This paper proposes an EIIR (Enhanced Importance Index Recognize) importance marking algorithm. This algorithm can extract the importance of each point in the load series, especially extreme points, so that machine learning models can focus on areas of high importance during training. This fills the research gap in the morphological characteristics of time series for peak and valley prediction. First, the K-Medoids algorithm is used to cluster the daily load curve, and then the EIIR algorithm is used to extract the numerical features of the extreme value points of various cluster centers. Then the importance features and historical data are reconstructed into a new feature set and input them into the CNN-LSTM hybrid neural network for prediction. Finally, the ISO<img>NE public power load data set is taken as an example for analysis and verification. In order to verify the reliability of the model prediction, the robustness of the model was analyzed and verified by adding input interference. The results show that this method can achieve more accurate short-term load prediction, and the model has good stability and robustness<strong>.</strong></div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111551"},"PeriodicalIF":3.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 cumulative sum-based protection method for inverter-interfaced microgrids","authors":"Behzad Asle Mohammad Alizadeh ,&nbsp;Mohammadreza F․M․ Arani ,&nbsp;Seyed Fariborz Zarei","doi":"10.1016/j.epsr.2025.111548","DOIUrl":"10.1016/j.epsr.2025.111548","url":null,"abstract":"<div><div>This paper presents a MCUSUM-based protection scheme for enhancing fault detection in high-IBR microgrids, specifically considering both grid-following and grid-forming inverters in the modeling, analysis, and testing phases. While previous works have focused on overcurrent, impedance-based and differential protection schemes, they often struggle with low short-circuit currents and variable power factors during faults, limiting their effectiveness in high-IBR environments. The proposed approach enables rapid direction change detection and coordinated relay operation through control flag exchanges. Real-time experiments using the Typhoon platform validate the method's effectiveness across low voltage ride-through (LVRT) grid codes from different countries. Results demonstrate reliable fault detection in both grid-connected and islanded modes, effectively managing various fault types and resistance levels under acceptable noise levels. The proposed method not only addresses the limitations of existing protection strategies but also showcases adaptability in diverse operational scenarios, making it a practical solution for enhancing the reliability of microgrid systems with high IBR penetration.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111548"},"PeriodicalIF":3.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Design technology for virtual circuit automatic generation in intelligent substations based on substation configuration description","authors":"Chen Jiesheng ,&nbsp;Wang Feng ,&nbsp;Xiong Weibiao ,&nbsp;Li Yinhua ,&nbsp;Chen Pengyuan ,&nbsp;Liu Jianfeng","doi":"10.1016/j.epsr.2025.111555","DOIUrl":"10.1016/j.epsr.2025.111555","url":null,"abstract":"<div><div>The intelligent substation project has a high workload, high error rate, and low efficiency in SCD virtual terminal connection. A technique for automatically generating virtual circuits has been proposed to improve the efficiency of SCD virtual terminal connections. Using the virtual circuit design template, this article first uses the K-nearest neighbor learning method to automatically match virtual terminals. On the basis of training data, a weight vector optimization model will be constructed, with weight vectors as optimization parameters and appropriate objective functions set. By using an improved simulated annealing algorithm to solve the weight optimization model, the optimal solution of the distance weight vector is obtained. The verification through examples shows that compared to existing technologies, this method obtains more accurate virtual terminal connection results and higher matching efficiency.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111555"},"PeriodicalIF":3.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive technical risk indices and advanced methodologies for power system risk management","authors":"Elaheh Yaghoubi ,&nbsp;Elnaz Yaghoubi ,&nbsp;Mohammad Reza Maghami ,&nbsp;Mehdi Zareian Jahromi","doi":"10.1016/j.epsr.2025.111534","DOIUrl":"10.1016/j.epsr.2025.111534","url":null,"abstract":"<div><div>In a dynamic and complex power system landscape, accurately assessing and mitigating technical risks is essential for ensuring a reliable and secure electricity supply. Despite advancement, significant research gaps persist in understanding the broader trends of risk analysis and exploring comprehensive technical risk indices. Existing studies often focus narrowly on specific measures, overlooking evolving dynamics in power systems risk management. This review addresses these gaps by systematically examining a range of risk measures, including underexplored indices such as loss of load expectation (LOLE), expected unserved energy (EUE), load ability limits (LAL), and energy expected not served (EENS), alongside commonly studied indices like voltage devotion and resilience. The review systematically addresses this challenge through three sections, ensuring a logical progression from introduction to analysis and findings. LOLE estimates the likelihood of power supply shortages, while EUE quantifies the expected energy not delivered due to outages. Additionally, underexplored metrics LAL and EENS analysis provide a more holistic view of system vulnerabilities. The study employs systematic reviews with bibliometrics analysis to identify key challenges, analyze academic research trends, and introduce methodologies, like failure mode and effects analysis (FMEA). FMEA identifies potential failure points, assesses their impacts, and integrates uncertainty and reliability into risk analysis, offering valuable insights into power system vulnerabilities. This approach ensures a detailed understanding of vulnerability, allowing for proactive measures in system reliability. The review is structured into three sections: an introduction to common technical risk indices, an exploration of challenges in current risk management, and an assessment of novel methodologies and their practical implications. Findings emphasize that indices like LOLE and EUE receive less attention compared to metrics like resilience and uncertainty. Furthermore, cost and time considerations in risk evaluation remain underexplored. This paper offers actionable insights for power companies to optimize operational planning and prioritize investments and enhance system reliability. Integrating underutilized indices with innovative methods like FMEA, this article provides a novel risk analysis framework that bridges theoretical gaps and supports practical decision-making.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111534"},"PeriodicalIF":3.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Integrated planning of emission reduction based unit commitment and generation dispatch solution for sustainable power system","authors":"Hasan Jamil Apon ,&nbsp;Ashik Ahmed ,&nbsp;Asif Ur Rahman Adib ,&nbsp;Razzaqul Ahshan","doi":"10.1016/j.epsr.2025.111535","DOIUrl":"10.1016/j.epsr.2025.111535","url":null,"abstract":"<div><div>The dynamic nature of consumer load demands requires power systems to make complex decisions about the operation of multiple generating units. The Unit Commitment Problem (UCP) optimizes unit scheduling over a 24–48 h horizon while considering operational constraints. Simultaneously, reducing greenhouse gas (GHG) emissions has become critical, making the Combined Economic Emission Dispatch (CEED) problem vital for balancing cost and environmental sustainability. This paper presents the African Vulture Optimization Algorithm (AVOA) for solving UCP and the Multi-Objective African Vulture Optimization Algorithm (MOAVOA) for solving the CEED problem. Using the IEEE 39-bus system with 10 generating units as a test case, AVOA achieves lower operational costs and faster convergence compared to existing UCP methods. MOAVOA balances fuel costs and emissions, reducing daily emissions by 3,882.76 tons and saving $176,119.03 in emission taxes, offsetting the slight fuel cost increase. Comparisons with MOPSO, MOABC, and MOAOA validate MOAVOA’s superiority in minimizing costs and emissions. To evaluate the sensitivity of the proposed algorithm, the IEEE 118-bus system with 54 generating units was introduced. Furthermore, the results confirm the robustness and adaptability of AVOA and MOAVOA under varying load demands and conditions, demonstrating their effectiveness.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111535"},"PeriodicalIF":3.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}