International Journal of Electrical Power & Energy Systems最新文献_第5页

Cooperative trading and optimization scheduling of multi-microgrid considering controllable air conditioning load virtual energy storage 考虑可控空调负荷虚拟储能的多微网协同交易与优化调度

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-09-22 DOI: 10.1016/j.ijepes.2025.111168

Shunjiang Wang , Jiayi Li , Dong Lin , Peng Yu , Zhengwen Li , Bin Zhao

{"title":"Cooperative trading and optimization scheduling of multi-microgrid considering controllable air conditioning load virtual energy storage","authors":"Shunjiang Wang , Jiayi Li , Dong Lin , Peng Yu , Zhengwen Li , Bin Zhao","doi":"10.1016/j.ijepes.2025.111168","DOIUrl":"10.1016/j.ijepes.2025.111168","url":null,"abstract":"<div><div>Controllable air conditioning load, as a flexible load scheduling resource, has become a crucial component of demand response mechanisms in distribution networks. However, the dynamic variation of the user’s comfort interval and the time-delay effect of air conditioning loads reduce the accuracy and timeliness of the scheduling process. Therefore, this paper proposes a cooperative trading and optimization scheduling approach for multi-microgrids, considering controllable air conditioning load virtual energy storage. Firstly, based on the dynamic variation of the optimal comfort temperature for the human body, the Quantile Regression Neural Network algorithm is employed to predict the dynamic comfort interval of the human body. Secondly, an electric-thermal coordinated scheduling strategy accounting for the synchronous response characteristics of thermal inertia is proposed, and the virtual energy storage model for variable-frequency air conditioning load is established. Subsequently, the multi-microgrids energy optimization scheduling system is constructed. The system consists of two subproblems: Subproblem 1 aims to minimize the total operating cost of the multi-microgrids, while Subproblem 2 seeks to maximize the cooperative benefits of the multi-microgrids. The Adaptive Accelerated Alternating Direction Method of Multipliers algorithm is employed to solve the problem. Finally, a case study simulation is conducted using multi-microgrids in Liaoning Province. The results demonstrate that, compared to traditional methods, the proposed multi-microgrids system reduces operating costs by 45.1 % and improves solution speed by 33.8 %.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111168"},"PeriodicalIF":5.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smart seismic rocking motion control of fluid tanks using semi-active model-based and data-driven adaptive control 基于半主动模型和数据驱动自适应控制的储液罐智能地震摇摆运动控制

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-09-22 DOI: 10.1016/j.ijepes.2025.111113

Seyed Ehsan Aghakouchaki Hosseini, Sherif Beskhyroun

{"title":"Smart seismic rocking motion control of fluid tanks using semi-active model-based and data-driven adaptive control","authors":"Seyed Ehsan Aghakouchaki Hosseini, Sherif Beskhyroun","doi":"10.1016/j.ijepes.2025.111113","DOIUrl":"10.1016/j.ijepes.2025.111113","url":null,"abstract":"<div><div>Various mechanisms have been investigated in the literature for seismic protection of fluid tanks. These structures play a pivotal role in the integrity, reliability, and safety of strategic industries. Any damage to fluid tanks can jeopardise these industries and the environment. In this research, a Smart Vertical Isolation System using magnetorheological dampers for rocking isolation of legged rigid cylindrical fluid tanks under base excitations has been proposed and investigated. First, dynamic equations of motion for the rocking rigid fluid tank are developed. Different semi-active classical and an online data-driven adaptive control technique are then employed to examine the efficacy of the rocking isolation system. Parameters of the data-driven controller are estimated online in real-time using the Recursive Least Squares approach, which offers simplicity, robustness against faults, and small memory requirements. Numerical simulations are compared with experimental investigations to validate the accuracy of the developed dynamic equations and the performance of the MR dampers and control techniques in mitigating the seismic effects on the examined fluid tank. The MR dampers and semi-active control strategies proved substantial reductions in the uplift displacement of the tank as one of the main causes of damage to these structures under earthquakes.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111113"},"PeriodicalIF":5.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual-attention-based spatio-temporal detection model against false data injection attacks in smart grids 基于双注意力的智能电网虚假数据注入时空检测模型

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-09-20 DOI: 10.1016/j.ijepes.2025.111156

Xinyu Wang , Yuan Li , Xiaoyuan Luo , Xinping Guan

{"title":"Dual-attention-based spatio-temporal detection model against false data injection attacks in smart grids","authors":"Xinyu Wang , Yuan Li , Xiaoyuan Luo , Xinping Guan","doi":"10.1016/j.ijepes.2025.111156","DOIUrl":"10.1016/j.ijepes.2025.111156","url":null,"abstract":"<div><div>As the next-generation power grid, the Smart Grid integrates digitization and intelligence into the system. However, its advanced intelligence also introduces potential cybersecurity risks. In particular, False Data Injection Attacks (FDIAs) exploit the Smart Grid’s heavy reliance on real-time data. By spoofing sensor measurements or manipulating network communications, these attacks inject malicious information into the grid to disrupt the topological structure of the power system. To address this challenge, this paper proposes a Dual-Attention Spatial-Temporal Fusion Network (DASTFN) for FDIA detection in Smart Grids, leveraging Graph Attention Networks (GAT) and Temporal Convolutional Networks (TCN). Given the complexity of network topology, DASTFN introduces a dual-attention mechanism that assigns varying importance to each node and dynamically aggregates information from neighboring nodes by learning adaptive weights. This enables more precise capture of mutual influences and relationships between nodes. Meanwhile, TCN automatically extracts temporal features from grid data through its causal dilated convolution property, effectively detecting attacks that leave temporal traces in sequential data. The proposed DASTFN model comprehensively captures spatial–temporal characteristics of grid data, enhancing both detection accuracy and computational efficiency. Simulations on IEEE 14-bus and 118-bus systems demonstrate its superiority over existing methods in terms of ablation analysis, detection performance, and robustness under adversarial conditions.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111156"},"PeriodicalIF":5.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Day-ahead composite load forecasting for more informed load modelling and network operation 日前综合负荷预测，为更明智的负荷建模和网络运行

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-09-20 DOI: 10.1016/j.ijepes.2025.111163

Dženana Tomašević , Tatjana Konjić , Jelena Ponoćko , Ernad Jabandžić

{"title":"Day-ahead composite load forecasting for more informed load modelling and network operation","authors":"Dženana Tomašević , Tatjana Konjić , Jelena Ponoćko , Ernad Jabandžić","doi":"10.1016/j.ijepes.2025.111163","DOIUrl":"10.1016/j.ijepes.2025.111163","url":null,"abstract":"<div><div>Demand side management (DSM) programmes offer promising solutions to facilitate operation and planning of modern power systems. A key aspect in successful deployment of DSM programmes is defining the level of flexibility of the demand side, i.e., the contribution of controllable loads to the total demand. Estimation or forecasting of load composition can help aggregators or suppliers identify controllable loads and times of the day when DSM programmes are more impactful. The information about load composition facilitates more comprehensive load modelling of the demand, which enables more accurate short-term and long-term network studies. This paper presents a methodology for day-ahead forecasting of the composite load model and flexibility of aggregated active and reactive demand in distribution network. The research relies on sub-metering data at end users’ premises and focuses on the application of feedforward artificial neural network (FFANN), long short-term memory (LSTM) and gated recurrent unit (GRU) for forecasting active and reactive loads, with subsequent decomposition of these loads into the composite load model components. As the accuracy of artificial intelligence (AI) methods tends to be area-specific, the proposed flexibility forecasting method was tested on the electrical demand of two cities in India, namely Bangalore and Itanagar. Load decomposition based on the forecasting results reveals that FFANN generally produces the most accurate predictions of load components, although LSTM and GRU provide comparable outcomes in specific cases. The study highlights the importance of selecting the appropriate neural network model and input configuration, with significant implications for improving forecasting accuracy and load management in power systems.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111163"},"PeriodicalIF":5.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RMPC strategy for optimal frequency regulation in DFIG-thermal-storage systems with a mechanical transient model consideration 考虑机械暂态模型的dfig -蓄热系统最优频率调节RMPC策略

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-09-20 DOI: 10.1016/j.ijepes.2025.111101

Zao Tang, Jia Liu, Wenjie Jia, Ye Mou, Pingliang Zeng

{"title":"RMPC strategy for optimal frequency regulation in DFIG-thermal-storage systems with a mechanical transient model consideration","authors":"Zao Tang, Jia Liu, Wenjie Jia, Ye Mou, Pingliang Zeng","doi":"10.1016/j.ijepes.2025.111101","DOIUrl":"10.1016/j.ijepes.2025.111101","url":null,"abstract":"<div><div>The integrated DFIG-Thermal-Storage system demonstrates superior performance in frequency regulation, wind power integration, energy efficiency, and emission reduction compared to conventional approaches.However,the inherent variability of wind speed and unpredictable load disturbances create significant challenges in optimally allocating frequency regulation power among system components. To address these challenges,this study proposes a robust model predictive control (RMPC)-based frequency regulation strategy that simultaneously accounts for both source-side and load-side disturbances. Firstly, a response model is developed for the DFIG-Thermal-Storage system participating in primary frequency regulation. This model considers the mechanical and electromagnetic characteristics of wind turbines, as well as various constraints such as component operation limits and power balance. Next, to address the uncertainty of wind speed and random load disturbances, the RMPC based method is introduced to modify the frequency regulation model. Furthermore, the strong duality theory is utilized to simplify the min–max double-layer robust optimization model into a single-layer form. The discretization of the component response model is improved using the forward difference method, enabling the solution of the strategy. Lastly, the proposed method is evaluated through several examples in MATLAB/Simulink. The results show that the proposed method reduces operational costs by 8.8% while maintaining effective frequency regulation.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111101"},"PeriodicalIF":5.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extended Long Short-Term Memory network for robust state-of-health estimation of lithium-ion batteries under diverse charging strategies 基于扩展长短期记忆网络的不同充电策略下锂离子电池健康状态评估

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-09-20 DOI: 10.1016/j.ijepes.2025.111146

Xiangjian Meng , Shixin Xu , Yongjin Yu , Yanzheng Zhu , Feng Gao

{"title":"Extended Long Short-Term Memory network for robust state-of-health estimation of lithium-ion batteries under diverse charging strategies","authors":"Xiangjian Meng , Shixin Xu , Yongjin Yu , Yanzheng Zhu , Feng Gao","doi":"10.1016/j.ijepes.2025.111146","DOIUrl":"10.1016/j.ijepes.2025.111146","url":null,"abstract":"<div><div>Accurate assessment of the health status of lithium-ion batteries is crucial for ensuring the safety and efficiency of their industrial applications. Various methods have been proposed to estimate the state of health (SOH) of lithium-ion batteries, but most of these methods are only applicable to specific types of batteries or operating conditions. To address this issue, this paper proposed an Extended Long Short-Term Memory (xLSTM) network for SOH estimation under various battery charging strategies. In this study, features are derived from the incremental capacity (IC) curve of the discharge process, which serve as primary indicators of battery health. To improve the accuracy of estimations, voltage and current features from both the charging and discharging phases are integrated as supplementary characteristics. The Spearman correlation coefficient is utilized to identify and select features that exhibit high correlation, thereby excluding irrelevant parameters. The proposed xLSTM model integrates the architectures of sLSTM and mLSTM, facilitating the effective capture of intricate temporal dependencies and nonlinear relationships associated with battery degradation. Experimental results demonstrate significant performance improvements, achieving average MAPE of 0.20% and R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> of 0.997, outperforming existing methods by over 40% in accuracy. Cross-chemistry validation on both LFP and NCM batteries confirms the robustness and generalization capability of the proposed method.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111146"},"PeriodicalIF":5.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A hybrid metaheuristic algorithm for dynamic heterogeneous vehicle routing problem with stochastic demand considering environmental aspects 考虑环境因素的随机需求动态异构车辆路径问题的混合元启发式算法

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-09-19 DOI: 10.1016/j.ijepes.2025.111135

Yiwei Liu, Yinggan Tang, Changchun Hua

{"title":"A hybrid metaheuristic algorithm for dynamic heterogeneous vehicle routing problem with stochastic demand considering environmental aspects","authors":"Yiwei Liu, Yinggan Tang, Changchun Hua","doi":"10.1016/j.ijepes.2025.111135","DOIUrl":"10.1016/j.ijepes.2025.111135","url":null,"abstract":"<div><div>Energy shortages and environmental pollution drive the development of green and low-carbon logistics transportation models. In this paper, a novel dynamic heterogeneous vehicle routing model is introduced to address these challenges, which converts energy consumption and carbon emissions into green costs under different customer demands. To effectively solve the model, a hybrid adaptive nutcracker optimization algorithm with Lévy differential evolution (ANOA-LD) is proposed. Then, three case studies were conducted to analyze changes in carbon emissions and costs under different carbon emission policies based on distinct customer points. The results indicate that carbon emission policies are pivotal in determining the efficacy of carbon reduction in vehicle routing planning. In addition, an experimental plan was developed, initially verifying model feasibility with random data and later assessing algorithm performance using the Solomon benchmark on a larger scale. Different levels of dynamism were tested for dynamic customer information changes, further validating the effectiveness and superiority of the algorithm. These insights provide valuable guidance for decision-making in green vehicle routing planning.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111135"},"PeriodicalIF":5.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Command verification and cyber-resilience enhancement for an LFC system: A signal-temporal-logic framework LFC系统的命令验证和网络弹性增强：信号-时间-逻辑框架

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-09-19 DOI: 10.1016/j.ijepes.2025.111131

Shuyu Jia , Jinbo Liu , Qinglai Guo , Hongyang Jin , Yuqian Zhang

{"title":"Command verification and cyber-resilience enhancement for an LFC system: A signal-temporal-logic framework","authors":"Shuyu Jia , Jinbo Liu , Qinglai Guo , Hongyang Jin , Yuqian Zhang","doi":"10.1016/j.ijepes.2025.111131","DOIUrl":"10.1016/j.ijepes.2025.111131","url":null,"abstract":"<div><div>Owing to the intricate interplay between cyber and physical systems, the real-time control of power systems is subject to exposure to a spectrum of complex and diverse cyber risks. The endogenous risks from control systems, specifically within black-box control systems, are particularly critical because power systems increasingly incorporate heterogeneous control systems, thus highlighting the importance of addressing cybersecurity issues. This paper addresses the anomalies pertaining to control commands, with a specific focus on the frequency control-system scenario. Using the signal monitoring approach named signal temporal logic, we propose a cybersecurity framework for an LFC (Load Frequency Control) system that introduces a data-driven model to achieve online formalized command verification; further, using the verification model, we design a resilient control algorithm to mitigate the effects of frequency anomalies caused by erroneous commands. Our simulation results of a New England 39-bus system with ten generators affirm the capability of our approach in ensuring error-free control commands and preventing frequency anomalies.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111131"},"PeriodicalIF":5.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-frequency oscillation analysis of DC-link voltage-synchronized grid-forming converters: A damping torque perspective 直流链路电压同步并网变流器的低频振荡分析：阻尼转矩视角

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-09-19 DOI: 10.1016/j.ijepes.2025.111081

Song Chen , Yang Wang , Mengling Yang , Zhen Tian , Josep M. Guerrero

引用次数: 0

Distance protection scheme based on control characteristics of power electronic-based power sources for low-frequency transmission system of offshore wind farm 基于电力电子电源控制特性的海上风电场低频输电系统距离保护方案

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-09-19 DOI: 10.1016/j.ijepes.2025.111158

Jiaheng Jiang, Chenhao Zhang, Guobing Song, Yiming Ren, Can Cui

{"title":"Distance protection scheme based on control characteristics of power electronic-based power sources for low-frequency transmission system of offshore wind farm","authors":"Jiaheng Jiang, Chenhao Zhang, Guobing Song, Yiming Ren, Can Cui","doi":"10.1016/j.ijepes.2025.111158","DOIUrl":"10.1016/j.ijepes.2025.111158","url":null,"abstract":"<div><div>The performance of conventional distance protection is degraded by the source characteristics of power electronic-based power sources (PEPS) in the low-frequency transmission system (LFTS) of offshore wind farm. Furthermore, as a dual-terminal PEPS system, offshore LFTS facing the inadaptability of improved distance protection scheme originally proposed for general single-terminal PEPS system. To address this, a novel distance protection scheme based on control characteristics of PEPS is proposed for offshore LFTS. The source characteristics of both PEPSs in LFTS are derived from their control strategies and expressed as constraints between output voltages and currents. Building on this, a calculation method for fault electrical quantities is proposed to quantify the influence of PEPS on distance protection. Subsequently, the apparent impedances representing the source characteristics are precomputed and stored in a data matrix using the proposed calculation method. Finally, the proposed protection scheme estimates the fault distance and distinguishes between internal faults and external faults by searching for the best matching values in the data matrix against the actual measured values of apparent impedances. The performance of proposed protection scheme is tested via a simulation model in PSCAD/EMTDC. Simulation results demonstrate that the proposed protection scheme exhibits a high tolerance to fault resistance under different fault types, control strategies and operating states of wind farm.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111158"},"PeriodicalIF":5.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0