Electric Power Systems Research最新文献_第8页

Impact of 3D modeling and proximity effect in the computation of submarine HVDC cable impedances 三维建模和接近效应对海底高压直流电缆阻抗计算的影响

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-07-08 DOI: 10.1016/j.epsr.2025.111975

Ruting Tang , Luca Di Rienzo , Massimo Bechis , Carlo de Falco , Shuhong Wang

引用次数: 0

Enhancing BIPV Building Energy Autonomy in PV systems through predictive energy control and real-time error reduction 通过预测能源控制和实时误差减少，增强光伏系统的BIPV建筑能源自主性

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-07-03 DOI: 10.1016/j.epsr.2025.111954

Mame Cheikh Sow, Youssef Jouane, Mourad Zghal

{"title":"Enhancing BIPV Building Energy Autonomy in PV systems through predictive energy control and real-time error reduction","authors":"Mame Cheikh Sow, Youssef Jouane, Mourad Zghal","doi":"10.1016/j.epsr.2025.111954","DOIUrl":"10.1016/j.epsr.2025.111954","url":null,"abstract":"<div><div>The integration of photovoltaic (PV) systems into power grids poses challenges due to the intermittent nature of solar energy, which increases grid dependency and limits energy autonomy. Accurate ultra-short-term (UST) forecasting and intelligent energy management are essential to enhance PV self-consumption. This study introduces the Energy Control Optimization Predictive Intelligent Management System (ECO-PIMS), an advanced framework that integrates hybrid forecasting models, internal adaptive real-time error correction, and dynamic energy allocation via a logical control function (LCF). ECO-PIMS employs advanced signal-decomposition techniques, including Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN), Sample Entropy (SE), and Variational Mode Decomposition (VMD). Two novel hybrid models are developed: ICEEMDAN-VMD-CNN-LSTM-BiGRU (IV-CNNLSTM-BiGRU) for PV-production forecasting and ICEEMDAN-VMD-LSTM-BiGRU (IV-LSTM-BiGRU) for energy-demand forecasting. In the forecasting process, Convolutional Neural Networks (CNN) extract spatial features and Long Short-Term Memory (LSTM) networks learn temporal patterns for PV production, while a Bidirectional Gated Recurrent Unit (BiGRU) refines residual errors. ECO-PIMS optimizes real-time energy management by dynamically allocating power between PV and the grid based on UST predictions. Simulations over seven days demonstrate that the PV–Battery–Grid configuration with error correction reduces grid contribution to 17.7%, compared to 29.7% without correction and 32.4% in a PV–Grid setup with correction. Moreover, the proposed models achieve a 20% reduction in Mean Absolute Error (MAE) compared to conventional CNN and LSTM approaches. This study uses real measured data from a positive energy building (PEB) in Poschiavo, Switzerland. The proposed methodologies were implemented in MATLAB and Simulink, underscoring their practical applicability.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111954"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535878","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}

引用次数: 0

Incorporating advanced machine learning algorithms into solar power forecasting in off-grid hybrid renewable systems 将先进的机器学习算法应用于离网混合可再生能源系统的太阳能发电预测

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-07-03 DOI: 10.1016/j.epsr.2025.111979

Shiyi Tian, Xuechun Liu

{"title":"Incorporating advanced machine learning algorithms into solar power forecasting in off-grid hybrid renewable systems","authors":"Shiyi Tian, Xuechun Liu","doi":"10.1016/j.epsr.2025.111979","DOIUrl":"10.1016/j.epsr.2025.111979","url":null,"abstract":"<div><div>Accurate forecasting of Direct Normal Irradiance (DNI) is essential for the efficient planning and performance of off-grid renewable energy microgrids. This study introduces a novel hybrid model that integrates the Mountain Gazelle Optimizer with Transformer architecture (MGO-Transformer) to significantly improve the accuracy of DNI prediction. Applied to Kuqa, Xinjiang, a region with abundant solar resources, the model outperforms conventional approaches, achieving a coefficient of determination of 0.998, root mean square error of 19.94, and mean absolute percentage error of 0.12. Using the enhanced forecasting output, an optimized off-grid microgrid is designed to meet the area’s electricity and hydrogen demands. The proposed system incorporates photovoltaic (PV) panels, wind turbines, an electrolyzer, hydrogen storage, lithium-ion batteries, and a converter. Simulation results indicate an annual energy production of 1,671,030 kWh, with PV contributing 97.7% of the total output. The electrolyzer produces 27,329 kilograms of hydrogen per year, meeting the full hydrogen demand of the system. Economic analysis reveals strong performance metrics, including a Levelized Cost of Energy of 1.93 $/kWh and a Levelized Cost of Hydrogen of 5.26 $/kg. This work underscores the value of machine learning-based forecasting in optimizing microgrid configurations for sustainable and economically viable energy and hydrogen production in remote regions.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111979"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535879","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}

引用次数: 0

A hybrid global maximum power point tracking control method based on particle swarm optimization (PSO) and perturbation and observation (P&O) 基于粒子群优化（PSO）和扰动观测（P&O）的混合全局最大功率点跟踪控制方法

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-07-03 DOI: 10.1016/j.epsr.2025.111967

Xiang Zhang, Ben Zhao, Haoran Cui, Guodong Zhao, Yuren Li, Yigeng Huangfu

{"title":"A hybrid global maximum power point tracking control method based on particle swarm optimization (PSO) and perturbation and observation (P&O)","authors":"Xiang Zhang, Ben Zhao, Haoran Cui, Guodong Zhao, Yuren Li, Yigeng Huangfu","doi":"10.1016/j.epsr.2025.111967","DOIUrl":"10.1016/j.epsr.2025.111967","url":null,"abstract":"<div><div>The P-V curve of photovoltaic systems has multi-peaks characteristics under partial shading conditions, which will reduce the effectiveness of the traditional maximum power point tracking (MPPT) algorithms to find the global maximum power point (GMPP). The particle swarm optimization (PSO) algorithm has good global search ability, but may suffer from low convergence speed. The combination of PSO and perturbation and observation (P&O) algorithms can behave strong GMPP search ability, fast convergence and simple calculation, and thus can improve the accuracy of MPPT. In this paper, an improved PSO-P&O hybrid algorithm is proposed. A new initialization particle method is employed to reduce the number of particles and a novel PSO to P&O transition method is adopted to speed up convergence. Moreover, reinitialization is used to avoid the system dropping to the local maximum power point (LMPP) when the light intensity is changed. The feasibility and effectiveness of the proposed algorithm is verified by the MATLAB simulation. The simulated results show that the GMPP can be found in 5–6 iterations by the proposed algorithm. The MPPT efficiency reaches 99.82 % and 99.98 % respectively under two different light intensity conditions. Consequently, the proposed algorithm can find the maximum power point (MPP) more accurately and quickly, and therefore can improve the efficiency of photovoltaic system under partial shading conditions.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111967"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535929","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}

引用次数: 0

Privacy-enhanced microgrid operations: State decomposition for distributed economic dispatch over time-varying directed networks 隐私增强的微电网运行：时变定向网络上分布式经济调度的状态分解

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-07-03 DOI: 10.1016/j.epsr.2025.111910

Keng Xu , Lifu Ding , Gangfeng Yan

{"title":"Privacy-enhanced microgrid operations: State decomposition for distributed economic dispatch over time-varying directed networks","authors":"Keng Xu , Lifu Ding , Gangfeng Yan","doi":"10.1016/j.epsr.2025.111910","DOIUrl":"10.1016/j.epsr.2025.111910","url":null,"abstract":"<div><div>In the economic dispatch of microgrids, ensuring privacy protection while achieving optimization scheduling is of utmost significance. This research presents a privacy-preserving consensus algorithm founded on state decomposition, aiming to address the privacy leakage issues prevalent in distributed economic dispatch in microgrids. By decomposing state variables into internal and external sub-states, the algorithm strategically transmits partial data, effectively preventing information leakage. Distinguishing itself from traditional approaches such as differential privacy and homomorphic encryption, the proposed algorithm not only boasts a lower computational complexity but also maintains a rapid convergence rate. Through a meticulous privacy analysis, it is demonstrated that the algorithm is robust against both internal and external eavesdroppers, ensuring the security of sensitive information. Finally, the case study validates that the proposed algorithm maintains identical optimization accuracy to the centralized counterpart under communication link failure conditions, thereby demonstrating robust convergence properties. Comparative analysis further reveals that the proposed algorithm achieves a relatively faster linear convergence rate compared to existing DED algorithms.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111910"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535880","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}

引用次数: 0

Single-phase PWM rectifier based on novel applications of LLCL filter and multi-rate cascaded controller for decoupled parameter tuning 基于LLCL滤波器和多速率级联控制器解耦参数整定的单相PWM整流器

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-07-02 DOI: 10.1016/j.epsr.2025.111966

Đorđe M. Stojić , Tomislav B. Šekara , Tomasz Tarczewski , Lukasz Jan Niewiara

{"title":"Single-phase PWM rectifier based on novel applications of LLCL filter and multi-rate cascaded controller for decoupled parameter tuning","authors":"Đorđe M. Stojić , Tomislav B. Šekara , Tomasz Tarczewski , Lukasz Jan Niewiara","doi":"10.1016/j.epsr.2025.111966","DOIUrl":"10.1016/j.epsr.2025.111966","url":null,"abstract":"<div><div>The conventional L, LC, and LCL filters employed in grid-tied single-phase PWM rectifiers introduce limitations in terms of filter component values and size, grid-current ripple, and harmonic attenuation. This paper proposes the adoption of an LLCL filter, enabling the utilization of smaller filter components (leading to 30-50 % reductions), reduced grid-current ripple (the LLCL filter provides complete grid-side current ripple attenuation), and enhanced grid-related harmonic attenuation (reduced grid-side current harmonic distortions up to 30 %). Also, THD values below 5 % are attained while maintaining higher efficiency. LLCL-filtered grid-tied converters maintain stable operation even when grid impedance varies by up to 50 %. The grid-current controller was designed with robustness constraints to ensure reliable operation despite variations in grid impedance and operating conditions. The proposed multi-rate cascaded DC bus voltage controller also effectively decouples from the grid-current controller, enabling independent tuning of their parameters and leading to a settling time reduction of up to 50 % and an overshoot reduction of up to 80 %. A notch filter is integrated into the DC bus voltage measurement to eliminate double-line frequency ripple on grid-current harmonics. Simulation and experimental results are presented, which demonstrate the effectiveness of the proposed approach and decoupled grid-current and DC bus voltage control.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111966"},"PeriodicalIF":3.3,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522869","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}

引用次数: 0

A real-time reconstruction method of temperature field in high voltage vacuum circuit breaker based on physics-informed neural network 一种基于物理信息神经网络的高压真空断路器温度场实时重建方法

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-07-02 DOI: 10.1016/j.epsr.2025.111984

Lei Huang, Yingsan Geng, Jianhua Wang, Zhiyuan Liu

{"title":"A real-time reconstruction method of temperature field in high voltage vacuum circuit breaker based on physics-informed neural network","authors":"Lei Huang, Yingsan Geng, Jianhua Wang, Zhiyuan Liu","doi":"10.1016/j.epsr.2025.111984","DOIUrl":"10.1016/j.epsr.2025.111984","url":null,"abstract":"<div><div>Temperature distribution in high-voltage power equipment is critical for reflecting the operational state, enabling predictive maintenance, and supporting digital twin (DT) technology. This study introduces an innovative Physics-informed neural network (PINN) for real-time temperature field reconstruction of a single-phase 126 kV high-voltage vacuum circuit breaker (VCB), allowing rapid temperature prediction. The PINN architecture integrates an auto-encoder enhanced with an attention mechanism, a physics-informed loss function, and a compensation term. An Equivalent concept was proposed to simplify the complex thermal processes of VCBs, and a modified heat conduction partial differential equation was used to consider the heat transfer process at each spatial node within the PINN. The proposed model was verified through a multi-physics field numerical simulation. It achieved an average error of <4.9 % and a maximum error of 7.0 % over a 120 min real-world scenario. The 100 min computation time was shorter than the scenario duration, ensuring real-time responsiveness. The results indicate that the PINN can efficiently adapt to varying operational conditions and reconstruct the real-time temperature field. This study demonstrates the feasibility of using PINNs to rapidly reconstruct temperature fields in high-voltage VCBs, providing new technical support for status monitoring and predictive maintenance in power equipment.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111984"},"PeriodicalIF":3.3,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522868","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}

引用次数: 0

An energy supply strategy for blockchain in the transportation system: A hydrogen-based mobile energy framework 交通系统中区块链的能源供应策略：氢基移动能源框架

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-07-01 DOI: 10.1016/j.epsr.2025.111918

Kai Jin , Ali B.M. Ali , Jingyu Zhang , Monireh Ahmadi

{"title":"An energy supply strategy for blockchain in the transportation system: A hydrogen-based mobile energy framework","authors":"Kai Jin , Ali B.M. Ali , Jingyu Zhang , Monireh Ahmadi","doi":"10.1016/j.epsr.2025.111918","DOIUrl":"10.1016/j.epsr.2025.111918","url":null,"abstract":"<div><div>Due to the ability of blockchain technology to promote transaction security and confidence in the next generation of society, especially transportation systems, it is currently in widespread use. However, the key development trend in blockchain technology is fraught with challenges owing to the high requirements for energy consumption in the mining process. With this in mind, this paper addresses an energy supply strategy based on hybrid mobile-renewable energy resources (HMRER) for transportation systems secured by the blockchain. So to speak, this strategy takes advantage of electric vehicle (EV) capacity, particularly in terms of its potential to function as a mobile energy storage resource. Under this kind of synergistic energy framework, miners can meet their energy needs in four different ways: 1) through fuel cell units; 2) through EVs; 3) through the upstream grid; and 4) through PV units, all based on cooperative energy management within the transportation networks. To evaluate the effectiveness of the proposed strategy, we carry out a case study of transportation systems, considering HMRER-based energy management. The HMRER strategy is compared to the four different approaches suggested in the literature and assessed for their relative consequences. The simulation results show that advancements in the HMRER strategy are making mobile and renewable energy resources more efficient and cost-effective by 10 % in comparison to other techniques.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111918"},"PeriodicalIF":3.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522867","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}

引用次数: 0

Optimal allocation of grid-connected converter-based energy resources for securing power system stability: A comprehensive review 基于并网变流器的能源资源优化分配保障电力系统稳定：综述

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-07-01 DOI: 10.1016/j.epsr.2025.111978

Emenike Ugwuagbo , Biplob Ray , Jay Sul , Nurun Nabi , Ujjwal Datta , Kianoush Emami

{"title":"Optimal allocation of grid-connected converter-based energy resources for securing power system stability: A comprehensive review","authors":"Emenike Ugwuagbo , Biplob Ray , Jay Sul , Nurun Nabi , Ujjwal Datta , Kianoush Emami","doi":"10.1016/j.epsr.2025.111978","DOIUrl":"10.1016/j.epsr.2025.111978","url":null,"abstract":"<div><div>The capacity and connection point of grid-tied converter-based energy resources (CBERs) significantly impact the transient, voltage, frequency and oscillatory stability of power grids. However, there is a notable lack of comprehensive reviews that critically assess the impact of connection points and the capacity of CBERs on power system stability. Therefore, this review consolidates the interplay between CBER sizing and placement strategies (techniques, objectives, constraints, and optimisation algorithms) and dynamic stability outcomes. The types of CBERs assessed in this review include solar-photovoltaic systems, windfarms, battery energy storage systems (BESS), and their hybrids. A well-established methodology was applied to strategically select recent publications (from 2017 onwards) from three renowned databases. This review highlights that CBER allocation schemes must seamlessly integrate both steady-state and dynamic stability criteria within the allocation framework to sustain grid stability amid growing renewable energy penetration. Moreover, an effective allocation strategy must balance cost efficiency with the ability of CBERs to stabilise grid frequency and voltage while ensuring compliance with regulatory/operators’ guidelines. By delineating current trends, methodological gaps, and emerging solutions, this review offers critical insights to researchers, policymakers, and system operators for refining CBER deployment strategies that balance economic viability with steady-state and dynamic stability requirements.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111978"},"PeriodicalIF":3.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518236","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}

引用次数: 0

UAV power line inspection strategy based on SAC algorithm 基于SAC算法的无人机电力线巡检策略

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-06-30 DOI: 10.1016/j.epsr.2025.111925

Cheng Xu, Jiaxin Wang, Yun Ding, Chunhou Zheng

引用次数: 0