IEEE Open Access Journal of Power and Energy最新文献

A Preventive-Corrective Scheme for Ensuring Power System Security During Active Wildfire Risks 一种火灾风险下保障电力系统安全的预防性纠错方案

IF 3.2

IEEE Open Access Journal of Power and Energy Pub Date : 2025-07-17 DOI: 10.1109/OAJPE.2025.3590048

Satyaprajna Sahoo;Anamitra Pal

{"title":"A Preventive-Corrective Scheme for Ensuring Power System Security During Active Wildfire Risks","authors":"Satyaprajna Sahoo;Anamitra Pal","doi":"10.1109/OAJPE.2025.3590048","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3590048","url":null,"abstract":"The focus of this paper is on operating the electric power grid in a secure manner during scenarios of active wildfire risk. This is a challenging problem because of the uncertain ways in which the fires can impact the operation of the power system. To address this challenge, we propose a novel preventive-corrective coordinated decision-making scheme that quickly mitigates both static and dynamic insecurities given the risk of active wildfires in a region. The scheme utilizes a comprehensive contingency analysis tool for multi-asset outages that leverages: (i) a “Feasibility Test” algorithm which exhaustively desaturates overloaded cut-sets to prevent cascading line outages, and (ii) a data-driven transient stability analyzer which alleviates dynamic instabilities. This tool is then used to operate a coordinated unit commitment/optimal power flow model that is designed to adapt to varying risk levels associated with wildfires. Depending on the allowed risk, the model balances economical operation and grid robustness. The results obtained using the IEEE 118-bus system indicate that the proposed approach alleviates system vulnerabilities to wildfires while also minimizing operational cost.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"492-504"},"PeriodicalIF":3.2,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11083470","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144725166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Early Detection of Stator Inter-Turn and Single Phasing Faults in Induction Motors Using Negative Sequence Voltage Components 利用负序电压分量早期检测异步电动机定子匝间故障和单相故障

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-07-15 DOI: 10.1109/OAJPE.2025.3589243

Mohammadhossein Nazemi;Xiaodong Liang

{"title":"Early Detection of Stator Inter-Turn and Single Phasing Faults in Induction Motors Using Negative Sequence Voltage Components","authors":"Mohammadhossein Nazemi;Xiaodong Liang","doi":"10.1109/OAJPE.2025.3589243","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3589243","url":null,"abstract":"This paper presents a non-invasive threshold-based method for early detection of stator inter-turn faults (SITFs) and single phasing (SP) faults in induction motors by measuring the three-phase voltages at the motor terminal. These voltage signals are processed to extract the sequence components. The Negative Voltage Factor (NVF) is defined as the ratio of the magnitudes of negative sequence voltage <inline-formula> <tex-math>$vert $ </tex-math></inline-formula>V<inline-formula> <tex-math>${}_{mathbf {2}} vert $ </tex-math></inline-formula> to positive sequence voltage <inline-formula> <tex-math>$vert $ </tex-math></inline-formula>V<inline-formula> <tex-math>${}_{mathbf {1}} vert $ </tex-math></inline-formula>, and is used as a fault indicator. The proposed method uses a dual-threshold strategy: a lower threshold for SITFs detection and a higher threshold for SP faults detection by comparing with the VNF values. Unlike traditional current-based approaches, this voltage-based technique proves to be more sensitive and load-independent. Simulation results using ANSYS Maxwell and experiments in the lab for a 2.2 kW induction motor demonstrate the method’s effectiveness to detect incipient SITFs and SP faults accurately under various motor loadings and fault severities.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"470-479"},"PeriodicalIF":3.3,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11080503","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Triple-Optimized Extreme Learning Machine Model for Power Load Forecasting 电力负荷预测的三重优化极限学习机模型

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-07-04 DOI: 10.1109/OAJPE.2025.3585994

Haoxiang Gao;Weixin Kang;Miao Fan

{"title":"A Triple-Optimized Extreme Learning Machine Model for Power Load Forecasting","authors":"Haoxiang Gao;Weixin Kang;Miao Fan","doi":"10.1109/OAJPE.2025.3585994","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3585994","url":null,"abstract":"Electricity load forecasting constitutes a pivotal task in achieving an equilibrium between supply and demand within the power system, facilitating effective power grid dispatching, and ensuring the safe and stable operation of the grid. The ELM model, characterized by its high efficiency and expeditious training, has become a prevalent approach in the domain of electricity load forecasting. The model’s architecture comprises a front end, a core, and a back end. However, the optimization scheme of the model is optimized for a specific aspect, namely single-objective optimization. This approach disregards the pathological characteristics and overfitting that arise from the simultaneous optimization of the three, the challenges of calculation, and the deviation of the prediction results. This paper proposes a seamless enhanced incremental ELM triple optimization model (SBOA-SEI-MRU-ELM) based on the Secretary bird optimization algorithm and the MINres regularization under the U-curve method to solve the above problem. The optimal input weight matrix and threshold vector can be selected through the front-end module, incremental iteration can be performed through the core, and pathological problems and overfitting can be eliminated through the back-end module. A comparison of the proposed method with traditional single-weight optimization reveals a twofold reduction in MSE and a more than 20% decrease in MAPE. When evaluated against LSTM, SVM, and RBF methods, the proposed method exhibits a one-to-two-order magnitude reduction in MSE and a 1% to 16% decrease in MAPE. The findings demonstrate a competitive edge over research conducted within a specialized branch that utilizes metaheuristic algorithms.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"480-491"},"PeriodicalIF":3.3,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11071898","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Polytopic Lyapunov Function-Based Hybrid Switching Control Strategy for High Voltage Direct Current Networks 基于Polytopic Lyapunov函数的高压直流网络混合开关控制策略

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-07-02 DOI: 10.1109/OAJPE.2025.3585425

Rohan Kamat Tarcar;Marjan Popov;Aleksandra Lekić

引用次数: 0

Guaranteed False Data Injection Attack Without Physical Model 无物理模型的保证虚假数据注入攻击

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-06-16 DOI: 10.1109/OAJPE.2025.3580108

Chenhan Xiao;Napoleon Costilla-Enriquez;Yang Weng

{"title":"Guaranteed False Data Injection Attack Without Physical Model","authors":"Chenhan Xiao;Napoleon Costilla-Enriquez;Yang Weng","doi":"10.1109/OAJPE.2025.3580108","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3580108","url":null,"abstract":"Smart grids are increasingly vulnerable to False Data Injection Attacks (FDIAs) due to their growing reliance on interconnected digital systems. Many existing FDIA techniques assume access to critical physical model information, such as grid topology, to successfully bypass Bad Data Detection (BDD). However, this assumption is often impractical, as utilities may restrict access to this data, or the evolving nature of distribution grids—particularly with the integration of renewable energy—can render this information unavailable. Current methods that address the absence of physical model lack formal guarantees for BDD evasion. To bridge this gap, we propose a novel physical-model-free FDIA framework that 1) bypasses BDD with formal guarantees and 2) maximizes the attack impact without requiring explicit physical model. Our approach leverages an autoencoder (AE) with a regularized latent space to enforce physical consistency, using historical measurements to replicate the residual error distribution, ensuring BDD evasion. Additionally, we integrate a Generative Adversarial Network (GAN) to explore the measurement manifold and induce the most significant state changes, enhancing the impact of the attack. The key innovation lies in the AE-GAN hybrid model’s ability to replicate the residual error distribution while maximizing attack efficacy, offering a performance guarantee that existing methods lack. We validate our method across 11 representative grid systems, using real power profiles simulated in MATPOWER, and demonstrate its consistent ability to bypass BDD by preserving the residual error distribution. The results highlight the robustness and generalizability of the proposed FDIA framework.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"429-441"},"PeriodicalIF":3.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11037430","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144536682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Survey of Moving Target Defense in Power Grids: Design Principles, Tradeoffs, and Future Directions 电网移动目标防御综述：设计原则、权衡与未来方向

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-06-05 DOI: 10.1109/OAJPE.2025.3577012

Yexiang Chen;Charalambos Konstantinou;Daisuke Mashima;Anurag K. Srivastava;Subhash Lakshminarayana

引用次数: 0

Medium- and Long-Term Optimal Stochastic Scheduling for Inter-Basin Hydro-Wind-Photovoltaic Complementary Systems Considering Wind and Solar Output Uncertainty 考虑风能和太阳能输出不确定性的流域间水光互补系统中长期最优随机调度

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-06-02 DOI: 10.1109/OAJPE.2025.3575734

Chengrui Du;Yuan Gao;Lili Wang;Xiang Li;Yichen Cui;Jian Gao

{"title":"Medium- and Long-Term Optimal Stochastic Scheduling for Inter-Basin Hydro-Wind-Photovoltaic Complementary Systems Considering Wind and Solar Output Uncertainty","authors":"Chengrui Du;Yuan Gao;Lili Wang;Xiang Li;Yichen Cui;Jian Gao","doi":"10.1109/OAJPE.2025.3575734","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3575734","url":null,"abstract":"With the large-scale integration of wind power and photovoltaic (PV) into the grid, dealing with their output uncertainties and formulating more reliable scheduling strategies has become a critical challenge for the efficient operation of hydropower-dominated inter-basin hydro-wind-PV complementary systems. To quantify the uncertainty associated with wind and PV power generation, this paper proposes a method for generating wind and PV power output scenarios, combining adaptive diffusion kernel density estimation with Copula theory. Scenario reduction is then carried out using the K-means clustering algorithm. Based on this, a medium- and long-term stochastic expectation model for the inter-basin hydro-wind-PV complementary system is developed. The model is subsequently solved using the Gurobi 11.0.3 optimization solver within the MATLAB environment. A case study is conducted based on a selected inter-basin hydro-wind-PV clean energy base in China. The results demonstrate that the proposed scheduling strategy effectively addresses the unpredictability of wind and solar power, improves the overall utilization of renewable energy sources, and facilitates more efficient water level regulation at each power station. Furthermore, it significantly enhances the overall performance and efficiency of the complementary system.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"404-416"},"PeriodicalIF":3.3,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11021448","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection, and Mitigation 针对电网的负载改变攻击调查：攻击影响、检测和缓解

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-04-17 DOI: 10.1109/OAJPE.2025.3562052

Sajjad Maleki;Shijie Pan;Subhash Lakshminarayana;Charalambos Konstantinou

引用次数: 0

Characterization of the Long-Term Impedance Variations Due to Electric Vehicle Charging From 20 kHz to 500 kHz 电动汽车充电从20 kHz到500 kHz时的长期阻抗变化特性

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-04-17 DOI: 10.1109/OAJPE.2025.3562091

Jon González-Ramos;Itziar Angulo;Igor Fernández;Bernhard Grasel;Alexander Gallarreta;Amaia Arrinda;David de la Vega

{"title":"Characterization of the Long-Term Impedance Variations Due to Electric Vehicle Charging From 20 kHz to 500 kHz","authors":"Jon González-Ramos;Itziar Angulo;Igor Fernández;Bernhard Grasel;Alexander Gallarreta;Amaia Arrinda;David de la Vega","doi":"10.1109/OAJPE.2025.3562091","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3562091","url":null,"abstract":"This paper aims to empirically characterize the long-term grid impedance variations due to Electric Vehicle Charging Processes (EVCPs) in the frequency range from 20 kHz to 500 kHz. The study is supported by a measurement campaign performed in a controlled Low Voltage (LV) grid in Austria, composed of a Secondary Substation (SS) and four houses, which statistically represents the public LV grids in Austria. The results show that different impedance states (with different spectral patterns and amplitudes) can be identified during the charging processes of all the EVs under analysis. Additionally, time variability within each impedance state is also registered. The findings, which cover the still uncharacterized frequency band from 20 kHz to 500 kHz, have important implications for the performance of Narrowband Power Line Communications (NB-PLC), the propagation of Non-Intentional Emissions (NIEs) and the definition of a reference impedance in this frequency band.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"235-244"},"PeriodicalIF":3.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10967552","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Soft Actor-Critic-Based MPPT Control of Solar PV Systems Under Partial Shading Conditions 部分遮阳条件下基于软因子临界的太阳能光伏系统MPPT控制

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-04-15 DOI: 10.1109/OAJPE.2025.3560626

Sampson E. Nwachukwu;Komla A. Folly;Kehinde O. Awodele

{"title":"Soft Actor-Critic-Based MPPT Control of Solar PV Systems Under Partial Shading Conditions","authors":"Sampson E. Nwachukwu;Komla A. Folly;Kehinde O. Awodele","doi":"10.1109/OAJPE.2025.3560626","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3560626","url":null,"abstract":"This paper presents a soft actor-critic (SAC)-based method for solving the solar photovoltaic (PV) Maximum Power Point Tracking (MPPT) control problem under partial shading conditions (PSCs). The MPPT method optimizes the solar PV power and ensures that it constantly operates at its “maximum power point (MPP),” regardless of the dynamics of weather conditions. Traditional MPPT methods, such as the perturb and observe (P&O) method, are commonly employed to solve the MPPT control problem. However, they often suffer from a slower convergence rate, significant oscillation near the MPP, drift problems. Additionally, in the presence of partial shading, they frequently fail to track the solar PV global maximum power point (GMPP). These problems were addressed using the deep Q-network (DQN) method. However, DQN cannot be applied to continuous action spaces. It also uses inefficient experience replay and suffers from Q-value overestimation. Thus, under PSCs and certain environmental conditions, DQN produces fluctuations of power close to the MPP or GMPP, resulting in power loss. To solve the MPPT control task, mathematical models of the Markov Decision Process, solar PV system, and boost converter were developed. Key hyperparameters affecting the SAC algorithm’s performance were also investigated. Furthermore, the P&O method was developed for comparison. Simulation results show that the SAC-based MPPT method achieved better tracking accuracy than the DQN method under standard testing conditions, varying irradiance levels, and PSCs. Also, it is shown that both the DQN and SAC methods have superior tracking performance compared to the P&O method under similar environmental conditions tested.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"194-208"},"PeriodicalIF":3.3,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10965705","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143892359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0