Electric Power Systems Research最新文献_第6页

Voltage harmonic suppression powering non-linear load of single-phase inverter with impedance method 用阻抗法抑制单相逆变器非线性负载的电压谐波

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-19 DOI: 10.1016/j.epsr.2026.112733

Jian Huang , Fei Wang , Chen Wang , Huiqin Xu , Lixin Liu

{"title":"Voltage harmonic suppression powering non-linear load of single-phase inverter with impedance method","authors":"Jian Huang , Fei Wang , Chen Wang , Huiqin Xu , Lixin Liu","doi":"10.1016/j.epsr.2026.112733","DOIUrl":"10.1016/j.epsr.2026.112733","url":null,"abstract":"<div><div>This paper proposes a novel control strategy that integrates the load current feed-forward method (LCFFM) with an impedance notch filter to mitigate output-voltage distortion in single-phase inverters supplying non-linear loads. The study emphasizes the synergistic combination of LCFFM and the notch filter as its core innovation, which significantly improves both steady-state accuracy and harmonic suppression. Through output impedance modeling, the characteristics of non-linear loads and their impact on output voltage are analyzed. The design of LCFFM and its influence on output impedance are elaborated, along with an analysis of sampling and PWM-update delays. Furthermore, the impedance notch filter is designed and implemented to enhance harmonic rejection around critical frequencies. The proposed integrated approach is also evaluated in terms of dynamic and steady-state performance, accompanied by stability analysis. Experimental results demonstrate that the combined use of LCFFM and the impedance notch filter reduces the output voltage total harmonic distortion (THD) from (7.7 ± 0.2)% to (4.3 ± 0.2)% and improves steady-state voltage accuracy from 99.39% to 99.71%, validating the effectiveness and innovation of the proposed method.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112733"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039106","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

Total harmonic distortion and unbalance factor estimator by three-phase quadrature signal generator based on multiresonant linear oscillator 基于多谐振线性振荡器的三相正交信号发生器的总谐波失真和不平衡因子估计

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.epsr.2026.112730

Victor Aviña-Corral , Daniel Clemente-Lopez , Jose de Jesus Rangel-Magdaleno , Oscar Martínez-Fuentes , Jose Hugo Barron-Zambrano

{"title":"Total harmonic distortion and unbalance factor estimator by three-phase quadrature signal generator based on multiresonant linear oscillator","authors":"Victor Aviña-Corral , Daniel Clemente-Lopez , Jose de Jesus Rangel-Magdaleno , Oscar Martínez-Fuentes , Jose Hugo Barron-Zambrano","doi":"10.1016/j.epsr.2026.112730","DOIUrl":"10.1016/j.epsr.2026.112730","url":null,"abstract":"<div><div>This paper presents an advanced real-time framework for analyzing <em>p</em>-phase electrical networks by examining symmetric components across multiple harmonic levels. The proposed method is based on a linear oscillator and a bank of multiple resonant linear oscillators serving as quadrature signal generators, each tuned to specific harmonic frequencies, allowing simultaneous estimation of amplitude, phase angle, and phase shift for positive, negative, and homopolar sequences. A novel metric, the Total Harmonic Distortion and Unbalance Factor (THD-UF and THD-UF*), is introduced to quantify distortion and asymmetry per symmetrical sequence, providing a comprehensive indicator of power quality. The effectiveness of the proposed framework is demonstrated through simulations, embedded implementations, and measurements obtained from a real electrical grid. Specifically, the theoretical and practical analysis was carried out for a three-phase electrical network, focusing on the estimation of the fundamental component and multiple harmonic orders. From a practical perspective, the methodology was implemented on two embedded platforms to support experimental validation. In a first stage, a Raspberry Pi was used to characterize processing latency and timing behavior under constrained hardware conditions. Later, a Zynq-7000 system-on-chip was used for real-time acquisition and processing of the three-phase electrical network system, demonstrating the suitability of the proposed framework for real-time execution requirements in power-system monitoring applications.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112730"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039049","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

Robust probabilistic photovoltaic power forecasting via multitask representation and cross-attention 基于多任务表示和交叉注意的鲁棒概率光伏功率预测

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.epsr.2026.112739

Boxiao Luo, Shenglei Pei, Jinchang Cheng, Shoupeng Zhang, Tao Luo

{"title":"Robust probabilistic photovoltaic power forecasting via multitask representation and cross-attention","authors":"Boxiao Luo, Shenglei Pei, Jinchang Cheng, Shoupeng Zhang, Tao Luo","doi":"10.1016/j.epsr.2026.112739","DOIUrl":"10.1016/j.epsr.2026.112739","url":null,"abstract":"<div><div>Photovoltaic (PV) power forecasting is essential for integrating high-penetration renewable energy into power grids. However, the inherent volatility of PV power and the occurrence of extreme values pose significant challenges. These issues not only degrade the accuracy of traditional models but also hinder reliable uncertainty quantification. To address these problems, this paper proposes DD-MDN, a robust probabilistic forecasting model. Unlike conventional methods that rely on linear feature selection, our model effectively captures nonlinear dependencies among meteorological features via deep nonlinear representation learning; this module is trained with uncertainty-weighted multitask learning to obtain robust, regime-aware features. Furthermore, a cross-attention mechanism is employed to capture the dynamic influence of time-varying meteorological conditions on power fluctuations, thereby further enhancing model robustness. Through a mixture density network, DD-MDN provides a robust probabilistic characterization of the uncertainty associated with extreme power output values. Compared with various baselines, our approach demonstrates superior performance under these challenging conditions: deterministic metrics show notable improvements, and it achieves the best overall probabilistic forecasting performance. Its robustness is validated through noise-injection tests. Experimental results on both public and industrial PV datasets confirm the model’s effectiveness and reliability.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112739"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039048","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

Global power sharing and virtual inertia control for the interlinking modular universal converter in standalone hybrid ac/dc microgrid 独立交直流混合微电网中互连模块化通用变换器的全局功率共享和虚拟惯性控制

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.epsr.2026.112764

Javier Gutiérrez-Escalona , Carlos Roncero-Clemente , Oleksandr Matiushkin , Mohammadreza Azizi , João Martins

{"title":"Global power sharing and virtual inertia control for the interlinking modular universal converter in standalone hybrid ac/dc microgrid","authors":"Javier Gutiérrez-Escalona , Carlos Roncero-Clemente , Oleksandr Matiushkin , Mohammadreza Azizi , João Martins","doi":"10.1016/j.epsr.2026.112764","DOIUrl":"10.1016/j.epsr.2026.112764","url":null,"abstract":"<div><div>Hybrid ac/dc microgrids (HMGs) have gained significant attention in recent years for their efficient integration of distributed energy resources and their capability to operate independently from the grid during islanded mode. The bidirectional interlinking converter (BIC) is the key element that coordinates power exchange between sub-grids to achieve precise power sharing. This work introduces a hierarchical control strategy providing adaptive bidirectional virtual inertia (BVI) support and precise global power sharing in a standalone HMG. Besides, the proposed control strategy was designed and validated for the recently introduced modular universal converter (MUC) topology with voltage boosting capability, demonstrating its effectiveness in performing advanced BIC functionalities such as inertia support. The hardware-in-the-loop tests conducted in real time show that the proposed strategy achieves zero power sharing error while enhancing the voltage and frequency stability through BVI transferring. Furthermore, the performance of the MUC as BIC with advanced functionalities is demonstrated, reaffirming its strong potential as a highly modular and standardized power converter solution for standalone HMGs.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112764"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039099","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

Predictive cooperative terminal agents for decentralised self-healing in multi-terminal HVDC grids 多终端高压直流电网分散自愈的预测合作终端代理

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.epsr.2026.112747

Sami Astan , Amin Hajizadeh

{"title":"Predictive cooperative terminal agents for decentralised self-healing in multi-terminal HVDC grids","authors":"Sami Astan , Amin Hajizadeh","doi":"10.1016/j.epsr.2026.112747","DOIUrl":"10.1016/j.epsr.2026.112747","url":null,"abstract":"<div><div>The large-scale integration of offshore wind generation demands protection systems for multi-terminal high-voltage direct current (MT-HVDC) grids that can operate reliably under stochastic power injections, converter-dominated fault dynamics, and asynchronous communication. This paper proposes a Predictive Cooperative Terminal Agent (PCTA) framework, a fully decentralised and self-healing protection architecture in which each voltage source converter terminal operates as an autonomous intelligent agent. Using locally measured electrical states, predictive threshold adaptation, and event-triggered peer-to-peer coordination, agents detect faults, isolate affected components, and restore power flow in real time. A centralised-training, decentralised-execution multi-agent actor–critic reinforcement learning algorithm optimises fault detection latency, selectivity, and renewable utilisation. Robustness is enhanced through Kalman-based denoising and validated using systematic noise-sweep and high-resistance fault studies. High-fidelity digital-twin and hardware-in-the-loop simulations demonstrate sub-8 ms fault detection, selectivity exceeding 93 %, stable post-fault self-healing, and scalability to dense meshed networks.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112747"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039103","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 review of HVDC-based transmission congestion alleviation strategies for modern power systems 基于高压直流的现代电力系统输电拥塞缓解策略综述

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-22 DOI: 10.1016/j.epsr.2026.112748

Yang Zhou , Yifeng Liu , Sunhua Huang , Chenyang Guo , Yijia Cao , Yong Li

{"title":"A review of HVDC-based transmission congestion alleviation strategies for modern power systems","authors":"Yang Zhou , Yifeng Liu , Sunhua Huang , Chenyang Guo , Yijia Cao , Yong Li","doi":"10.1016/j.epsr.2026.112748","DOIUrl":"10.1016/j.epsr.2026.112748","url":null,"abstract":"<div><div>The rapid integration of large-scale renewable energy sources causes significant variability and uncertainty into modern power systems. Extreme fluctuations and randomness in wind and solar outputs, including sudden wind ramp-downs or rapid solar irradiance drops, can cause severe power imbalances, line overloads, and insufficient reserve responses, thereby threatening grid security. Conventional congestion management methods, including generation redispatch and network topology reconfiguration, often fail to adapt to fast-changing and uncertain conditions due to computational complexity and limited responsiveness. In this context, high voltage direct current (HVDC) transmission systems enable decoupled and bi-directional power flow control, rapid response, and precise regulation of interregional exchanges, outperforming other control devices in long-distance, large-capacity power transmission and congestion alleviation. This comprehensive review systematically analyses mainstream transmission congestion mitigation strategies across multiple dimensions, including key frameworks, general techniques and HVDC-based strategies for transmission congestion alleviation, highlighting the pivotal role of HVDC technologies. Furthermore, it synthesizes insights on power flow security and proposes future research directions to leverage HVDC coordination with complementary technologies. Finally, key challenges and promising research directions are identified to advance the security and reliability of future power grids.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112748"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039057","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

SVC-assisted power factor optimization: A dual-benefit strategy for grid efficiency and pipeline integrity management svc辅助功率因数优化：电网效率和管道完整性管理的双重效益策略

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-02-05 DOI: 10.1016/j.epsr.2026.112819

M’hamed Ouadah , Omar Touhami , Rachid Ibtiouen , Ahlem Chahinez Kadri , Sofiane Chabane

{"title":"SVC-assisted power factor optimization: A dual-benefit strategy for grid efficiency and pipeline integrity management","authors":"M’hamed Ouadah , Omar Touhami , Rachid Ibtiouen , Ahlem Chahinez Kadri , Sofiane Chabane","doi":"10.1016/j.epsr.2026.112819","DOIUrl":"10.1016/j.epsr.2026.112819","url":null,"abstract":"<div><div>This study pioneers a proactive source-control strategy for mitigating electromagnetic interference (EMI) on buried pipelines through Static Var Compensator (SVC)-assisted power factor optimization of adjacent high-voltage transmission lines. An integrated framework couples electromagnetic modeling with electrochemical validation, establishing a quantitative correlation between induced current density (J<sub>ind</sub>) and corrosion rates of API X70 steel (0.119→0.404 mm/year as J<sub>ind</sub> increases 0→200 A/m²). For a 400 kV, 900 MW transmission line, the iterative optimization algorithm achieves an optimal power factor of 0.966, reducing J<sub>ind</sub> from 24.14 to 19.99 A/m² maintaining compliance with the 20 A/m² safety thresho ldwhile simultaneously providing 434 MVAR reactive power savings. These results demonstrate three key contributions: (1) a novel cross-infrastructure application of SVC technology beyond traditional economic optimization, (2) a validated quantitative J<sub>ind</sub> -corrosion relationship enabling risk assessment, and (3) a dual-benefit solution that enhances grid efficiency while safeguarding pipeline integrity in shared energy corridors.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112819"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189656","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

Distributed economic dispatch for islanded microgrids under asynchronous and random communication conditions 异步随机通信条件下孤岛微电网的分布式经济调度

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-02-06 DOI: 10.1016/j.epsr.2026.112823

Wei Sun, Mengjie Ding, Lei Huang, Qiyue Li, Weitao Li

{"title":"Distributed economic dispatch for islanded microgrids under asynchronous and random communication conditions","authors":"Wei Sun, Mengjie Ding, Lei Huang, Qiyue Li, Weitao Li","doi":"10.1016/j.epsr.2026.112823","DOIUrl":"10.1016/j.epsr.2026.112823","url":null,"abstract":"<div><div>In islanded microgrids, the shared communication channel among multiple nodes introduces inherent randomness and asynchrony, which can severely impair the convergence of conventional distributed dispatch algorithms. To overcome these challenges, this paper proposes an asynchronous distributed optimization framework that guarantees reliable convergence under such uncertain communication conditions. First, to accurately capture the random nature of the communication process, the network is modeled as an asynchronous randomly time-varying directed graph. Based on this model, a state-offset-based asynchronous consensus algorithm is developed, enabling each agent to update its local control immediately upon receiving new information without relying on global synchronization. A key feature of the proposed algorithm is the introduction of an auxiliary variable that records state offsets during asynchronous updates, thereby enhancing the system’s fault tolerance and ensuring coordinated optimization across agents. Subsequently, a rigorous theoretical analysis is conducted to establish the convergence, stability, and feasibility of the proposed method. Finally, simulation results validate the effectiveness and robustness of the algorithm under asynchronous and random communication conditions, while also demonstrating stable performance in the presence of dynamic load variations.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112823"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189629","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

Towards a performance index for distribution transformer prioritization and management 建立配电变压器优先排序和管理的性能指标

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-02-04 DOI: 10.1016/j.epsr.2026.112806

Luís H.T. Bandória , Ricardo Torquato , Madson C. Almeida , Renato M. Monaro

引用次数: 0

A novel cascade model for power quality detection and classification based on histogram of oriented gradient and long short-term memory network 基于定向梯度直方图和长短期记忆网络的电能质量检测与分类级联模型

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-02-04 DOI: 10.1016/j.epsr.2026.112816

Ganesh Kumar Budumuru , Papia Ray , Manish Kumar Babu

{"title":"A novel cascade model for power quality detection and classification based on histogram of oriented gradient and long short-term memory network","authors":"Ganesh Kumar Budumuru , Papia Ray , Manish Kumar Babu","doi":"10.1016/j.epsr.2026.112816","DOIUrl":"10.1016/j.epsr.2026.112816","url":null,"abstract":"<div><div>Distributed generation sources such as wind and photovoltaic are being developed effectively to meet the current energy demands. If the Power Quality Disturbances (PQDs) are correctly identified and properly classified by both producers and consumers, these issues can be resolved. One of the most important aspects of Power Quality (PQ) problem handling is the automatic classification of PQDs. To achieve intelligent PQD classification, we present a particular kind of recurrent neural network (RNN) called Long Short-Term Memory (LSTM) network is made specially to learn long-term dependencies and solve sequence prediction tasks. This research implements the powerful Histogram of Oriented Gradient (HOG) technique for PQD feature extraction. To implement the proposed method, twenty different PQDs are generated in the MATLAB/SIMULINK environment. The HOG technique is then applied to extract key features such as amplitude, phase, energy, variance, entropy, and mean deviation. The HOG data is subsequently fed to LSTM model for classification of PQDs. The proposed model (HOG-LSTM) gives 99.69 % classification testing accuracy with less training time, and it is compared with other classification models. This model is validated with real time signals which are generated with laboratory hardware setup. The main advantages of the suggested method include quick detection, less computational time, and good classification efficiency.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112816"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189654","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