{"title":"A robust unit commitment-based TSO-DSO coordination scheme for optimal generation scheduling","authors":"Haitham A. Mahmoud, Abdelatty E. Abdelgawad","doi":"10.1016/j.epsr.2025.111512","DOIUrl":"10.1016/j.epsr.2025.111512","url":null,"abstract":"<div><div>As distributed energy resources (DERs) become more prevalent, transmission system operators (TSOs) must align their actions with those of the distribution system operators (DSOs). On the other hand, the growing integration of renewable energy sources (RESs), marked by significant uncertainty, presents a complex challenge for optimal generation scheduling at both transmission and distribution levels. Hence, devising a novel scheme for the robust unit commitment (UC)-based coordination (RUCC) for optimal generation scheduling in a coupled transmission and distribution system (TS and DS) is of utmost importance to maintain the security and efficiency of the power supply. This article uses bilevel programming to construct a RUCC methodology for collaborative TSO-DSO generation scheduling. The first and second layers consider the TSO and DSOs' scheduling problems, where adaptive robust optimization (ARO) tackles the uncertainties at both levels. Each active DS consists of different DERs like dispatchable distributed generation (DG), energy storage systems (ESSs), plug-in electric vehicles (PEVs), wind turbines, and photovoltaic (PV) panels. The bilevel problem is solved using an iterative approach, while the TSO/DSO scheduling problems are solved using the column-and-constraint generation (CCG) technique. The proposed strategy is compared with traditional models, where the results demonstrate the methodology's effectiveness.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111512"},"PeriodicalIF":3.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419618","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}
Chakhung Yeung , Jianguo Wang , Yaping Du , Mi Zhou , Li Cai , Jinxin Cao , Quan Zhou , Yuxuan Ding , Weihan Zhao , Mingli Chen
{"title":"Assessment of electromagnetic shielding effectiveness in multi-layer and single-layer shielded cables against the lightning electromagnetic pulse considering different shielding strategies","authors":"Chakhung Yeung , Jianguo Wang , Yaping Du , Mi Zhou , Li Cai , Jinxin Cao , Quan Zhou , Yuxuan Ding , Weihan Zhao , Mingli Chen","doi":"10.1016/j.epsr.2025.111514","DOIUrl":"10.1016/j.epsr.2025.111514","url":null,"abstract":"<div><div>The impact of lightning electromagnetic pulses (LEMPs) on cables poses a significant challenge to the reliability and safety of power systems. This study aims to investigate the electromagnetic response and electromagnetic shielding effectiveness (ESE) of multi-layer and single-layer shielded cables against the LEMP. Through time-domain and frequency-domain analyses, the research evaluates how different grounding configurations and shielding methods influence electromagnetic coupling in the cables. The findings indicate that connecting both ends of the shield or metal pipe to the ground offers the most effective protection, greatly minimizing the induced response. Multiple shields offer enhanced performance compared to the single shield configuration, with the ESE increasing from 14.60 dB to 20.03 dB as the number of shields increases. Additionally, increased the metal pipe coverage from 60% to 100% improves the ESE of the cables, reducing the energy coupled to the cable by up to 60%. This study provides valuable insights into effective shielding techniques for LEMP protection in various engineering applications.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111514"},"PeriodicalIF":3.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419964","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 operation of urban multi-energy system via coordination of waste resourceful utilization and multi-energy storage","authors":"Zedi Wang , Xifeng Guo , Wei Gong , Jiajia Yan","doi":"10.1016/j.epsr.2025.111507","DOIUrl":"10.1016/j.epsr.2025.111507","url":null,"abstract":"<div><div>As promising means to improve urban waste disposal utilization and the comprehensive energy supply efficiency, the coordinated operation mode of waste energy supply and urban multi-energy system needs to make a profound study. However, the existing operation optimization theory ignores the interaction between waste energy supply, energy storage system and urban energy system, which will make it difficult to maximize waste energy supply and renewable energy utilization. In this study, an urban multi-energy system framework with waste resourceful utilization system (UWRUS) and multi-energy storage system (MESS) is proposed. Firstly, an UWRUS model is established by the relationship between the waste output, the maximum waste stockpile and the corresponding energy supply characteristics. Then, a MESS model is proposed to improve the multi-energy system operation flexibility. On this basis, an urban multi energy system optimal model based on waste resourceful and multi-energy storage collaborative is established. Finally, the proposed method is tested and verified by simulation comparison analysis. The results and experiences of the case studies show that the proposed coordinated model can improve the energy efficiency and operation economy. The energy utilization efficiency is 7.8 % more and total operation cost is 18.4 % less compared with existing methods.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111507"},"PeriodicalIF":3.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419965","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}
Shenglong Lv , Xuan Zhang , Jishu Wang , Weidong Xiong , Li Yang
{"title":"RMCT: Distributed electricity transaction based on reputation mechanism and multi-chain technology in blockchain environment","authors":"Shenglong Lv , Xuan Zhang , Jishu Wang , Weidong Xiong , Li Yang","doi":"10.1016/j.epsr.2025.111516","DOIUrl":"10.1016/j.epsr.2025.111516","url":null,"abstract":"<div><div>In smart grids, large amounts of private data, such as real-time electricity consumption data, are stored by smart meters. However, they can be turned into malicious nodes due to human attacks, resulting in data leakage and unreliable transactions. Additionally, significant issues in power transaction processes include excessive computational costs and restricted throughput. To enhance the trustworthiness and efficiency of power trading, we innovatively propose a real-time peer-to-peer power trading model (RMCT), integrating reputation mechanism and multi-chain technology in blockchain environment. Firstly, in RMCT, a reputation mechanism is designed based on user behavior management to effectively reduce malicious behaviors and improve transaction compliance in the distributed power trading process. Secondly, a multi-chain model is firstly proposed where the dynamic electricity unit price chain interacts in real-time with the user’s real-time electricity consumption chain, enabling efficient electricity billing settlement between the user and the main grid. The validity and performance of RMCT are demonstrated by adequate experimental results and analysis. Additionally, a comprehensive qualitative comparison between RMCT and related work is conducted to fully verify its feasibility and innovation.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111516"},"PeriodicalIF":3.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419558","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}
Sebastián García , Matteo Fresia , J.M. Mora-Merchán , Alejandro Carrasco , Enrique Personal , Carlos León
{"title":"A data-driven topology identification method for low-voltage distribution networks based on the wavelet transform","authors":"Sebastián García , Matteo Fresia , J.M. Mora-Merchán , Alejandro Carrasco , Enrique Personal , Carlos León","doi":"10.1016/j.epsr.2025.111517","DOIUrl":"10.1016/j.epsr.2025.111517","url":null,"abstract":"<div><div>A comprehensive knowledge of topology is of great importance for the effective operation and maintenance of distribution networks. This paper contributes with a novel data-driven topology identification method for low-voltage distribution networks based on the wavelet transform. The method uses only energy measurements from smart meters, being compatible with the current European smart meter capabilities. The method identifies the feeder and phase topology of single and three-phase customers, even in unbalanced situations. A computationally-efficient methodology to link customers' time-frequency features with their network connection is proposed. The performance of the method is assessed on eleven non-synthetic networks, with a robustness assessment of factors such as network observability, dataset size, measurement errors, and Renewable Energy Sources (RES) penetration. Accuracy rates exceeding 95 % are obtained in most cases, outperforming an energy-conservation approach. A 98 % accuracy can be achieved with a 30-day hourly dataset if at least 80 % of network observability is provided. For lower observability levels, 45 or 60 days of data are needed to reach similar rates. The sensitivity analysis of measurement error demonstrated that it had a negligible influence on the results. The method showed favorable results even in scenarios with high-RES penetration, with accuracy values exceeding 95 %.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111517"},"PeriodicalIF":3.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419963","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":"Distributed optimal power flow of AC/DC distribution networks with integer variables","authors":"Xiaoyuan Zheng , Jianyang Jia , Guanlong Jia","doi":"10.1016/j.epsr.2025.111509","DOIUrl":"10.1016/j.epsr.2025.111509","url":null,"abstract":"<div><div>Due to the nature of integer variables, achieving multi-period optimal power flow (OPF) for AC/DC distribution networks (DNs) with integer variables via distributed algorithm presents significant technical challenges. These challenges primarily arise from two aspects. First, the integer variables lead to the traditional distributed algorithms failing to converge or converging to locally optimal solutions. Second, the binary variables related to topology switching cannot be relaxed to continuous variables, making existing distributed algorithms inapplicable. To address these problems, we propose the following solutions: (1) the primal problem is decomposed into a master problem and multiple subproblems using the generalized Benders decomposition (GBD) algorithm, and an iterative process is defined to obtain the optimal solution; (2) employing the branch-and-bound method (BBM) to avoid uncomputable cutting planes due to integer variables in the subproblem; and (3) using two acceleration techniques to improve efficiency by warming up the BBM and reducing parameter transfer between the master and subproblems. The effectiveness and accuracy of the proposed method are proven by simulation results of a test system, showing that the algorithm converges to the optimal solution in finite time. Additionally, the distributed algorithm provides a practical solution for operators and enhances privacy.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111509"},"PeriodicalIF":3.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419616","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":"MSGCN: Multi-task Spectral Graph Convolutional model for identification of branch parameters considered grid topology","authors":"Ziheng Liu , Bochao Zheng , Min Xia , Jun Liu","doi":"10.1016/j.epsr.2025.111525","DOIUrl":"10.1016/j.epsr.2025.111525","url":null,"abstract":"<div><div>This paper addresses issues associated with existing methods for power system branch parameter identification, such as the inability to consider transmission line topology, handling large-scale power grid data, and high sensitivity to data contamination. A method called Multi-Task Spectral Graph Convolutional Network (MSGCN) is proposed for power system branch parameter identification tasks. This method utilizes a novel aggregation method called Simplified Spectral Graph Convolution (SSGConv) to simplify graph convolution operations. It introduces graph adaptive normalization and a learnable skip-connection mechanism to enhance the model’s robustness and scalability. Additionally, the method incorporates a graph attention mechanism, enabling our model to automatically learn the power grid branch topology, reducing the influence of data contamination on branch parameter identification accuracy. It adopts a self-balancing loss function of the multi-task model based on homoscedastic uncertainty to simultaneously identify multiple branch parameters, improving both the accuracy and training speed of the model. Experimental results demonstrate that this method outperforms traditional approaches and other graph neural network methods in terms of efficiency and accuracy in branch parameter identification.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111525"},"PeriodicalIF":3.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419617","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":"Canyon load curve management and network loss reduction using Virtual Storage Bank","authors":"Shubham Verma , Sanjeev Pannala , Ankush Sharma , Noel Schulz , Prabodh Bajpai","doi":"10.1016/j.epsr.2025.111496","DOIUrl":"10.1016/j.epsr.2025.111496","url":null,"abstract":"<div><div>This work focuses on establishing a Virtual Storage Bank (VSB) utilizing electric vehicle (EVs) and electric bus (e-bus) fleets located in various places such as households, office parking areas, EV charging stations, and school parking lots. These assets can be used as a source or load during their idle state. This work introduces the VSB, a novel concept offering dynamic storage resource sharing within clusters and beyond in the distribution network(DN). The VSB helps maintain the power balance for managing the canyon load curve and minimizing network loss by intelligently distributing storage based on availability and network requirements. This collaborative approach to storage management unlocks new possibilities for optimized power sharing within and across clusters, contributing to a more efficient and resilient power grid. The VSB formation process considers feature states such as power demand, storage capacity, and owner participation willingness. Coordination of e-fleets is achieved by focusing on Time-of-Use (ToU) pricing. The study validated a standard IEEE 13-bus distribution network, demonstrating the success of VSB formation in meeting power demand and reducing network losses. Sensitivity analysis was performed on the IEEE 13-bus distribution network, and the study was extended to the IEEE 34-bus system for scalability and practicality.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111496"},"PeriodicalIF":3.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419960","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}
Ameerkhan Abdul Basheer , Jeong Jae Hoon , Lee Seong Ryong , Song Dongran , Joo Young Hoon
{"title":"Energy capture efficiency enhancement for PMVG based-wind turbine systems through yaw control using wind direction prediction","authors":"Ameerkhan Abdul Basheer , Jeong Jae Hoon , Lee Seong Ryong , Song Dongran , Joo Young Hoon","doi":"10.1016/j.epsr.2025.111490","DOIUrl":"10.1016/j.epsr.2025.111490","url":null,"abstract":"<div><div>Accurate wind direction prediction is fundamental for the efficient operation of wind turbines and is also important for optimizing the performance and efficiency of the wind turbine system (WTS). In this study, we present a wind time-series-based prediction technique using a deep neural network (NN) approach to predict the wind direction and also aim to do the maximum power extraction (MPE) of a permanent magnet vernier generator (PMVG)-based WTS using the proposed model predictive control (MPC)-based yaw control method to improve its energy capture efficiency. To do this, an echo state network (ESN) approach is designed with a non-linear function and extended Kalman filter (EKF) to handle the non-linearities and improve prediction accuracy by eliminating noisy measurements, thus predicting the wind direction at an effective rate. Next, the performance of the proposed direction prediction model is compared with other prediction methods. The predicted wind direction is utilized in a finite control set model predictive control (FCS-MPC)-based yaw control strategy, enabling optimal turbine alignment and maximizing energy capture efficiency. Finally, superiority and robust performance of the proposed controller are evaluated and compared to existing control methods such as proportional–integral (PI), proportional–integral–derivative (PID) and baseline MPC using simulation of 4.8 MW PMVG-based benchmark WTS.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111490"},"PeriodicalIF":3.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419962","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}
Joan-Marc Rodriguez-Bernuz , Vinicius Gadelha , Eduard Bullich-Massagué , Andreas Sumper
{"title":"Droop-based power routers for enhanced resilience in networked grids","authors":"Joan-Marc Rodriguez-Bernuz , Vinicius Gadelha , Eduard Bullich-Massagué , Andreas Sumper","doi":"10.1016/j.epsr.2025.111475","DOIUrl":"10.1016/j.epsr.2025.111475","url":null,"abstract":"<div><div>The design and operation of the current power system are characterized by the integration of distributed energy resources and the evolving dynamics of modern electrical grids. Recent studies have explored the design of a novel concept for a fully controllable network: the Power Router Grid (PRG). This innovative grid concept uses power electronics devices to fully control the system’s power flows. These power electronic assets are commonly referred to as Power Routers (PRs). While the conceptual grid offers numerous advantages, its operation depends on the specific functionality of the converters, which may not always be guaranteed. This can result in reduced resilience during system contingencies or device failures.</div><div>In this context, this article proposes a new control design option for the PRG by introducing an adjustable droop regulator approach to manage the internal DC bus energy of PRs, enhancing the functionality of PRG designs. The flexibility of the system is expected to be improved by developing a mode of operation for the PRG based on the energy of the PR node. Additionally, the proposed strategy is formulated to reduce energy dispatch errors caused by the droop action during steady-state operation while enhancing system resilience, without compromising the tracking capabilities of PR devices. The proposed approach has been validated through dynamic simulations and tested in representative scenarios with varying operating conditions and contingencies. The results demonstrate the PRG’s ability to continue operating even with the loss of a PR in the power flow path, highlighting its potential to enhance system resilience.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111475"},"PeriodicalIF":3.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419961","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}