{"title":"A four sample approach to determine the fault location in MTDC network","authors":"Praveen Kumar Gupta, Subhransu Ranjan Samantaray","doi":"10.1016/j.epsr.2025.111801","DOIUrl":"10.1016/j.epsr.2025.111801","url":null,"abstract":"<div><div>The paper introduces a method for determining fault location in Multi-Terminal DC (MTDC) network addressing the challenges posed by limited post-fault data availability due to fast fault isolation in MTDC network. Proposed method operates efficiently at low sampling frequency of 20 kHz and requires only four samples i.e.0.2 ms data window, including 0.1 ms post-fault data. It determines surge arrival time using change in current (ΔI), eliminating the need of wavefront identification. The method is evaluated on 400 km and 200 km transmission lines with fault resistances ranging from 0.1 Ω to 500 Ω. Additionally, it integrates seamlessly with network protection schemes and demonstrates strong noise immunity. Moreover, the method is validated using Real-Time Digital Simulator (RTDS) confirming its robustness and accuracy. This makes it a practical solution for determining fault location in MTDC network.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111801"},"PeriodicalIF":3.3,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929270","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}
Fengrun Wang , Yuanjie Li , Pei Nie , Yongcong Liu , Huiwu Wang , Jianjun Yang , Qiang Li , Xinqi Wang , Ying Qin , Xiaoyan Shi , Bo Zhang , Hailiang Lu
{"title":"Risk and prevention measures for transferred voltage on external metal water pipes at power stations","authors":"Fengrun Wang , Yuanjie Li , Pei Nie , Yongcong Liu , Huiwu Wang , Jianjun Yang , Qiang Li , Xinqi Wang , Ying Qin , Xiaoyan Shi , Bo Zhang , Hailiang Lu","doi":"10.1016/j.epsr.2025.111737","DOIUrl":"10.1016/j.epsr.2025.111737","url":null,"abstract":"<div><div>External metal water pipes of power stations are subject to a high risk of transferred voltage. Although global standards recommend inserting insulating sections, and some standards recommend insulating sections lengths of 9–10 m, research has found that this measure will fail in some conditions. This study investigates the risk of transferred voltage on external metal water pipes at power stations and analyses the effectiveness of inserting insulating sections where the pipes exit the stations. Through this investigation, the distribution characteristics of transferred voltage and the key factors to consider in designing prevention measures are obtained. The required length of insulating sections for typical buried pipes is determined. Moreover, the limitations of the conventional method of inserting an insulating section on overhead pipes for controlling the risk of electric shock are highlighted. This study proposes solutions for managing transferred voltage on overhead pipes by using pipe-to-ground insulation or segmented insulation techniques. The results indicate that the length of an insulating section (usually >10 m under low-resistivity conditions) required for buried metal pipes decreases with an increase in soil resistivity. When applied to overhead pipes, segmented insulation measures can help divide the pipe into several equipotential sections, thereby reducing the potential difference between the pipe and the ground and eliminating the risk of transferred voltage.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111737"},"PeriodicalIF":3.3,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929263","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}
Yucan Zhao , Yuan Gao , Chao Chen , Sile Hu , Yuan Wang , Jiaqiang Yang
{"title":"Multi-level ramping strategy for multi-regional power systems considering regional flexibility","authors":"Yucan Zhao , Yuan Gao , Chao Chen , Sile Hu , Yuan Wang , Jiaqiang Yang","doi":"10.1016/j.epsr.2025.111701","DOIUrl":"10.1016/j.epsr.2025.111701","url":null,"abstract":"<div><div>Existing flexibility research focuses on the balance of flexibility supply and demand within the power grid, while paying little attention to the grid’s ability to provide flexibility externally. This paper proposes a multi-level ramping strategy for large-scale power systems considering regional flexibility. Firstly, a ramping factor is introduced to evaluate the flexibility of regional power grids, and a multi-level ramping mode is used to determine the relationships among various regional power grids during flexible ramping. Secondly, the regional flexibility constraint is integrated into the flexible operation optimization framework, and a flexible ramping model is established to optimize the first-level power grid. Next, a flexible ramping dynamic programming model is established to allow nodes with sufficient flexibility to generate or absorb ramp-able power as much as possible, thereby optimizing other levels of power grids; and economic benefits of the model were quantitatively analyzed. Finally, case studies on the improved IEEE 30-Bus System and an actual large-scale power grid verify that the proposed strategy not only coordinate the distribution of ramp-able power on various nodes and lines, but also guide power transmission among levels of grids; moreover, it maintains regional grid flexibility more adequately compared to conventional models, to cope with the next round of flexible ramping.</div><div>The main contributions of this paper are: i) the introduction of the concept of regional flexibility, quantified by the ramping factor; ii) the proposal of a multi-level ramping mode, optimizing power transmission among interconnected regional grids; iii) the development of a flexible ramping dynamic programming model, minimizing the use of ramp-able power within regional grids.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111701"},"PeriodicalIF":3.3,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929261","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}
Mojtaba Eldoromi, Ali Akbar Moti Birjandi, Nima Mahdian Dehkordi
{"title":"Anti-windup control strategy for interlinking converters in hybrid AC/DC microgrids with EV charging stations","authors":"Mojtaba Eldoromi, Ali Akbar Moti Birjandi, Nima Mahdian Dehkordi","doi":"10.1016/j.epsr.2025.111800","DOIUrl":"10.1016/j.epsr.2025.111800","url":null,"abstract":"<div><div>This paper presents an anti-windup-based control strategy to enhance stability in hybrid AC/DC microgrids (HMGs) integrated with electric vehicle (EV) charging stations. Existing studies have often overlooked the compounded effects of bidirectional power flows and the dynamic nature of EV charging loads on system stability. The proposed strategy focuses on the interlinking converter (ILC) and employs an anti-windup (AW) mechanism combined with proportional-integral (PI) control to address stability issues caused by bidirectional power flows, variable load demands, and low DC-link voltage fluctuations. To fine-tune the AW and PI gains, a particle swarm optimization (PSO) algorithm is used, ensuring robust control performance that responds effectively to fluctuating power inputs from EV chargers. Compared to existing methods, this approach stabilizes power sharing between AC and DC sub-grids, reduces voltage fluctuations, enhances transient response, and minimizes grid current total harmonic distortion (THD). Simulation results validate the effectiveness of the control strategy, highlighting its capability to maintain microgrid (MG) stability under dynamic conditions and varied operating scenarios. The study affirms the feasibility of AW control for HMGs, offering a reliable solution for resilient energy distribution in modern electrical grids.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111800"},"PeriodicalIF":3.3,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929262","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":"Study on the optimization allocation method of distributed energy storage in an active distribution network taking into account transmission betweenness and source-network-load synergy","authors":"Wei Chen, Penghui Hao, Zhanhong Wei, Longkang Chen","doi":"10.1016/j.epsr.2025.111787","DOIUrl":"10.1016/j.epsr.2025.111787","url":null,"abstract":"<div><div>To address the low level of new energy consumption, poor economic and stability indicators caused by insufficient coordination ability of the distribution network after large-scale grid connection of distributed photovoltaics (DPV), a distributed energy storage (DES) optimization allocation strategy based on transmission betweenness and source-network-load synergy in active distribution networks is proposed. First, based on complex network theory, the power transfer distribution factor (PTDF) is introduced to measure the importance of the nodes after energy storage is connected to the distribution network, and an optimal siting calculation method for energy storage based on the node transmission betweenness is proposed. Then, the uncertainty of the DPV output is quantified by improving the cosine similarity K-medoids clustering method. A mixed-integer second-order conical planning (MISOCP) model for cooperative optimal scheduling of DPV and DES containing soft open points (SOPs) is developed with the objectives of minimizing the daily integrated cost and average voltage deviation of the system. Finally, the improved IEEE33 node distribution system is taken as an example for simulation analysis, and simulation results show that the system's renewable energy consumption rate reaches 98.29% and the total operating cost is reduced by 25.98%, which verifies the effectiveness of the methodology.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111787"},"PeriodicalIF":3.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922012","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}
Priscila Costa Nascimento , Monika Topel , José Carlos Melo Vieira , Björn Laumert
{"title":"Mitigation strategies for electric vehicle impact on power systems: A comprehensive probabilistic method","authors":"Priscila Costa Nascimento , Monika Topel , José Carlos Melo Vieira , Björn Laumert","doi":"10.1016/j.epsr.2025.111738","DOIUrl":"10.1016/j.epsr.2025.111738","url":null,"abstract":"<div><div>Plug-in electric vehicles (PEVs) are a sustainable choice in response to electrification and decarbonization policies. Their widespread adoption poses challenges and opportunities, particularly for distribution systems (DSs). This study introduces a comprehensive probabilistic method to assist DS operators (DSOs) in infrastructure decision-making under uncoordinated PEV charging scenarios. Using real-world case studies and employing a Monte Carlo-based approach, it evaluates the impact of PEV charging on various aspects of DSs, including voltage magnitudes, imbalance, technical losses, and transformer loading. Mitigation strategies are explored through adjustments of substation transformer tap settings, modifications of no-load tap changers (NLTCs), and installation of low voltage regulators (LVRs). Results indicate that while transformer tap adjustments can improve voltage profiles, NLTC modifications may worsen overvoltage issues. In contrast, LVR implementation significantly reduces the number of customer units with voltage violations and lowers daily compensation costs. However, relying solely on LVRs may be insufficient when PEV penetration exceeds 35%. Moreover, their effectiveness in mitigating voltage imbalance diminishes due to independent LVR control and increased load. Still, economic analysis shows that LVRs can be financially viable even under these conditions. Sensitivity analyses highlight the critical influence of both PEV penetration levels and their spatial distribution within the DS in realistic PEV modeling simulations. In conclusion, this study proposes a probabilistic method to assist DSOs in the decision-making process of enhancing voltage regulation on DSs, comprehensively addressing losses, voltage imbalances, and loading in DSs impacted by PEV adoption.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111738"},"PeriodicalIF":3.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916467","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}
He Wang , Jinling Li , Shiqiang Li , Xiao Liu , Jing Bian , Huanan Yu
{"title":"Optimal inverter-based droop control in active distribution network with evolutionary strategy-embedded deep reinforcement learning","authors":"He Wang , Jinling Li , Shiqiang Li , Xiao Liu , Jing Bian , Huanan Yu","doi":"10.1016/j.epsr.2025.111789","DOIUrl":"10.1016/j.epsr.2025.111789","url":null,"abstract":"<div><div>Inverter-based photovoltaics based on a Volt/Var curve can support Voltage/Var control (VVC) and have been widely adopted in active distribution networks. Due to its data-driven characteristics, deep reinforcement learning (DRL) has been widely applied to improve the benefits of the VVC. However, since the traditional default droop control lacks system-wide optimum, a comprehensive droop control function is proposed to improve voltage regulation performance. This work of optimal droop control function is challenging as the Volt/Var curve introduces products of voltage variables, leading to an intractable bilinear optimization problem. Moreover, a decision space too large for conventional DRL leads to a local optimum. Thus, we propose an evolutionary strategy embedding the conventional DRL to enhance exploration and sample efficiency, deriving optimal droop control functions. The proposed method’s efficiency and superiority in power loss reduction and voltage regulation enhancement are verified through case studies involving the modified IEEE 33-bus distribution systems.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111789"},"PeriodicalIF":3.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922148","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":"Tri-objective enhanced ISODATA: a synergistic framework of cluster core optimization, inter-class divergence maximization, and adaptive threshold control for smart grid load profiling","authors":"Xu Tian, Bingsheng Yuan, Pengxiang Zheng","doi":"10.1016/j.epsr.2025.111774","DOIUrl":"10.1016/j.epsr.2025.111774","url":null,"abstract":"<div><div>This paper innovatively proposes an improved ISODATA algorithm (IM-ISODATA) aimed at enhancing the accuracy and adaptability of load pattern clustering in power systems. Specifically, the algorithm initially employs a farthest-first probability initialization strategy to balance global search capability with computational efficiency. It is followed by a dynamic distance optimization framework that refines cluster structures and incorporates an adaptive parameter tuning mechanism to dynamically align with load variations. Extensive experiments demonstrate significant advancements: the HACIM strategy reduces the IDB by 18.7 % and increases the ICH by 26.5 %, yielding optimal adaptive parameters. Compared with traditional algorithms, IM-ISODATA achieves the lowest IDB and highest ICH, with a 98.11 % improvement in computational efficiency. In microgrid scenarios, the algorithm attains an 81.5 % Pattern Recognition Accuracy (PRA), representing a 5.7 % improvement, while in demand response scenarios, it achieves a 76.2 % Demand Response Matching rate (DRM), reflecting a 7.1 % enhancement. In conclusion, the adaptive mechanism and computational efficiency of IM-ISODATA facilitate precise load pattern recognition for dynamic demand response management.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111774"},"PeriodicalIF":3.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916468","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}
Chunyuan Liu , Yuhan Su , Bao-lin Ye , Yongfeng Xu , Rui Dong
{"title":"Multi-level design optimization of cylindrical linear permanent magnet synchronous generator for wave energy conversion","authors":"Chunyuan Liu , Yuhan Su , Bao-lin Ye , Yongfeng Xu , Rui Dong","doi":"10.1016/j.epsr.2025.111764","DOIUrl":"10.1016/j.epsr.2025.111764","url":null,"abstract":"<div><div>This paper presents a multi-level optimization approach to optimize cylindrical permanent magnet linear synchronous generator (PMLSG) which is employed in a wave power take-off system. To improve the market competitiveness of wave energy compared to other renewable energy sources, power density, thrust ripple, and Total Harmonic Distortion (THD) of the Induced electromotive force (EMF) are chosen to be optimization objectives in the design process of the PMLSG. Firstly, the finite element analysis model of PMLSG is established based on the initial design theory of the permanent magnet linear machine, and the comprehensive sensitivity indicts are calculated based on the optimization objective, and the parameters are categorized into non-sensitivity, middle-sensitivity, and strong-sensitivity for the sensitivity to optimization objectives. Secondly, multi-level design optimization method is employed, and different optimization methods are used for different sensitive parameters. The non-sensitivity parameters keep the original design value, the middle-sensitive parameters are adopted the parametric analysis method, and strong-level sensitive parameters are optimized by NSGA-II. Then, a prototype was manufactured according to the optimization results. Finally, the accuracy of the PMLSG design is verified at constant speed. The wave parameters (wave height, frequency) are simulated by MTS100kN testing machine, and the experiment shows that the wave energy can be effectively converted into electric energy at random motion, and proved the correctness of the PMLSG design.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111764"},"PeriodicalIF":3.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922147","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 novel method for jointly monitoring household flexibility resources considering multiple correlations","authors":"Xiaolei Hu, Qingquan Luo, Tao Yu, Wenlong Guo, Yipeng Wang, Zhenning Pan, Minhang Liang","doi":"10.1016/j.epsr.2025.111784","DOIUrl":"10.1016/j.epsr.2025.111784","url":null,"abstract":"<div><div>Although demand response is vital for managing distribution networks with substantial renewable energy, accurately monitoring behind-the-meter flexibility resources remains challenging for developing precise household response plans. To address this, we propose a novel method for jointly monitoring household flexibility resources. The unified monitoring framework comprehensively explores the correlations between environmental factors and flexibility resources, as well as among these resources. It better addresses the complex usage behaviors of adjustable appliances and the high variability of rooftop photovoltaics while reducing computational complexity in monitoring multiple resources. The proposed multi-task learning model integrates a synergistic mechanism of shared feature extraction and task-specific adaptation. It first employs a transformer-based module to capture cross-task temporal features that integrate electrical and environmental correlations. A gated network then adaptively selects relevant features for each resource, which are processed by tower networks to capture long-term patterns and short-term variations. Additionally, we introduce quantile values of flexibility resources as monitoring targets to guide the model in learning power distribution, enabling more precise demand response plans. Experiments demonstrate that our method outperforms existing methods in monitoring various flexibility resources within and across households on public datasets. Furthermore, ablation experiments and model complexity analysis highlight the effectiveness of our method.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111784"},"PeriodicalIF":3.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916469","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}