IEEE Open Access Journal of Power and Energy最新文献_第4页

Energy-Efficient Direct Instantaneous Torque Control of Switched Reluctance Generator at Low Speeds 低速开关磁阻发电机的节能直接瞬时转矩控制

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-03-20 DOI: 10.1109/OAJPE.2025.3553408

Elmer O. Hancco Catata;Marcelo Vinícius De Paula;Ernesto Ruppert Filho;Tárcio André Dos Santos Barros

{"title":"Energy-Efficient Direct Instantaneous Torque Control of Switched Reluctance Generator at Low Speeds","authors":"Elmer O. Hancco Catata;Marcelo Vinícius De Paula;Ernesto Ruppert Filho;Tárcio André Dos Santos Barros","doi":"10.1109/OAJPE.2025.3553408","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3553408","url":null,"abstract":"An efficient switching method is proposed for Direct Instantaneous Torque Control (DITC) in Switched Reluctance Generators (SRG) operating at low speeds, aiming to enhance system efficiency and reduce torque ripple. In the traditional DITC strategy, the magnetization state in the outgoing phase is enabled at low operating speeds, leading to decreased efficiency and unnecessary torque ripple. The proposed DITC strategy improves efficiency at low speeds while maintaining low torque ripple levels. It prioritizes the freewheeling and demagnetization states during the outgoing period. When the back electromotive force (back EMF) is small, the magnetization state is disabled, using the freewheeling state to smoothly increase torque and the demagnetization state to decrease torque. The magnetization state is reintroduced as the back EMF increases. To implement the modified DITC, an artificial neural network is used to estimate electromagnetic torque. Experimental tests were conducted for both fixed and variable SRG speeds. The proposed method is compared with other methods in the literature. Experimental tests carried out at fixed and variable SRG speeds show that the proposed method significantly enhances efficiency by up to 20% and reduces torque ripple by up to 21% compared to existing methods.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"171-180"},"PeriodicalIF":3.3,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10935298","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740298","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

Composite Index for Identifying Anomalies in Low Voltage Systems Using Smart Meter Measurement Data 利用智能电表测量数据识别低压系统异常的综合指数

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-03-16 DOI: 10.1109/OAJPE.2025.3570834

Felipe B. B. Rolim;Fernanda C. L. Trindade;Vinicius C. Cunha

引用次数: 0

Enhanced Root Mean Square Model for Electric Vehicle Chargers: Addressing Balanced Faults With Multi-Manufacturer Variability 电动汽车充电器的改进均方根模型：多厂商可变性平衡故障的求解

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-03-12 DOI: 10.1109/OAJPE.2025.3569302

Muneki Masuda;Hayato Satoh

{"title":"Enhanced Root Mean Square Model for Electric Vehicle Chargers: Addressing Balanced Faults With Multi-Manufacturer Variability","authors":"Muneki Masuda;Hayato Satoh","doi":"10.1109/OAJPE.2025.3569302","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3569302","url":null,"abstract":"Japan aims to achieve carbon neutrality by 2050, with a target of 100% sale of electric vehicles (EVs) by 2035. An increase in EV charging demand changes the characteristics of load demand and in turn, affects power system stability. Therefore, a load model that considers EV charger characteristics is required. We had developed and verified an EV charger model through a root mean square analysis following balanced faults. To an extent, this model represents the voltage and frequency responses caused by balanced faults. However, it is based on only one representative manufacturer, and the model’s versatility and practicality need improvement. This study experimentally investigated the responses of EV chargers manufactured by several manufacturers. Each EV charger’s response was characterized. The developed model was improved to represent the response of each EV charger. The model parameters for each charger type were identified by comparing and validating the measured and simulated responses following balanced faults. An excellent match between the measured and simulated responses demonstrated that the developed model and the identified parameters accurately simulated the response following balanced faults. This model and the identified parameters can enable a more accurate assessment of EV charger impact on power system stability.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"284-296"},"PeriodicalIF":3.3,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11002605","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090782","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

Optimization-Based Distributed Controller for Multi-Agents System in Microgrid Secondary Control 微电网二次控制中基于优化的多智能体分布式控制器

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-03-08 DOI: 10.1109/OAJPE.2025.3566957

Fahad S. Alshammari;Ayman El-Refaie;Saleh Alyahya;Sheroz Khan

{"title":"Optimization-Based Distributed Controller for Multi-Agents System in Microgrid Secondary Control","authors":"Fahad S. Alshammari;Ayman El-Refaie;Saleh Alyahya;Sheroz Khan","doi":"10.1109/OAJPE.2025.3566957","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3566957","url":null,"abstract":"Micro-grids function to connect to power system power produced by the renewable energy resources. In islanded micro-grids, grid-forming units collaborate to maintain the micro-grids voltage and frequency by utilizing droop control technique that includes primary, secondary and tertiary levels. Secondary control intervenes to improve power sharing and restore voltage and frequency to their nominal levels. However, the conventional droop control applied to a grid with mismatched line parameters experiences a trade-off between reactive power sharing and voltage regulations. This paper applies real-time trajectory tracking convex optimization to ensure by communicating power sharing between units in a consensus topology. The optimization function is designed with local frequency and voltage constraints to maintain the frequency at its nominal value and ensure the voltage remains within a 5% tolerance range.. The proposed controller maintains power sharing among all units at the global consensus average value with constraints to within the limits. When the voltage limit is reached, the reactive power automatically deviates from the agreed global average in an optimal manner. The performance of the controller is shown using MATLAB/SIMULINK for different control parameters. The performance is compared to centralized-based topology. Finally, the controller is tested for grids with different line-parameters mismatches. The results show the reactive power sharing in an optimized manner.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"417-428"},"PeriodicalIF":3.3,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10993382","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323029","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

Utilizing Novel Modular Static Synchronous Series Compensators for Increased RES Integration and Cross-Border Power Flows 利用新型模块化静态同步串联补偿器提高RES集成和跨界潮流

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-03-08 DOI: 10.1109/OAJPE.2025.3568346

Konstantinos F. Krommydas;Christos-Spyridon G. Karavas;Konstantinos A. Plakas;Edward Hanlon;Efthimia Chassioti;Ioannis Moraitis

{"title":"Utilizing Novel Modular Static Synchronous Series Compensators for Increased RES Integration and Cross-Border Power Flows","authors":"Konstantinos F. Krommydas;Christos-Spyridon G. Karavas;Konstantinos A. Plakas;Edward Hanlon;Efthimia Chassioti;Ioannis Moraitis","doi":"10.1109/OAJPE.2025.3568346","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3568346","url":null,"abstract":"Developing innovative technologies is considered a critical enabler to successfully integrate large amounts of renewable generation and ensure the stable operation of power systems. In this paper, we propose a novel modular static synchronous series compensator (M-SSSC) that can adjust transmission line reactance in real-time in order to change network power flows. For the first time, a detailed demonstration in a real transmission system is presented that shows how such an innovative technology can maximize overall network utilization and manage operational constraints. Usually, only power flow simulations studies are presented that inevitably contain model inaccuracies and design assumptions. By exploiting the concepts of correlation coefficient and linear regression we demonstrate how the M-SSSC can facilitate renewable generation and cross-border power flows. A comparison with other innovative technologies such as phase shifting transformers, unified power flow controllers and dynamic line rating systems is presented. It is showcased that the proposed technology can be a suitable economical solution when distributed impedance control is needed, has a smaller footprint per ohm impedance, and depicts various advantages, such as rapid deployability, scalability and redeployability compared to other technologies. Furthermore, the M-SSSC can offer real-time, granular control and coordination between multiple deployments is possible, to optimize system power flows.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"245-258"},"PeriodicalIF":3.3,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10994270","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072926","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

Constructing a Biomass-Data Center Nexus for Circular Economy-Based Energy Systems Integration 构建基于循环经济能源系统集成的生物质-数据中心关系

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-03-07 DOI: 10.1109/OAJPE.2025.3567739

Pengya Wang;Li Pan;Guannan He;Gengyin Li;Jie Song;Ming Zhou;Jianxiao Wang

{"title":"Constructing a Biomass-Data Center Nexus for Circular Economy-Based Energy Systems Integration","authors":"Pengya Wang;Li Pan;Guannan He;Gengyin Li;Jie Song;Ming Zhou;Jianxiao Wang","doi":"10.1109/OAJPE.2025.3567739","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3567739","url":null,"abstract":"The dual challenges of energy crises and waste management have spurred interest in a circular economy, where biomass, valued for its carbon neutrality, is crucial. Remote areas, rich in biomass, are also becoming hubs for data center (DC) construction. Despite DCs’ low energy efficiency and production of low-grade waste heat, recovering this heat offers a promising path toward a circular economy. There are few systematic studies on the relationships among DC energy supply, waste heat generation, and renewable energy resources. In this study, we formulate day-ahead, real-time optimal scheduling strategies to provide electricity, heat, and gas using a complementary photovoltaic-biomass system. The biogas production process requires heat to promote the anaerobic reaction, and the adaptation temperature of anaerobic bacteria matches the low-quality waste heat generated from of the DC. We realize a circular economy by coupling a DC and a renewable energy system by directly using the waste heat from the DC and by using the queuing theory of the DC’s delay tolerance workload for partial load response. Moreover, the nonlinearity in the process is linearized by the least squares method. Actual data calculations show that the introduction of biogas can result in a fully renewable energy supply. Based on specific configurations—including a 350 kW PV system, 450 kWh BSS, 250 kW CHP unit, and an AD operating at 20°C to 45°C—the system is tested under 0% and 50% carbon emission scenarios. The DC workload combines delay-tolerant and delay-sensitive tasks, enabling flexible scheduling for energy and heat optimization, the power usage effectiveness (PUE) of the DC decreases from 1.73 to 1.24, operating expenses decrease by 36.06%, and system energy consumption decreases by 44.6%.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"270-283"},"PeriodicalIF":3.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10990273","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072922","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

The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible Resources 异构分布式柔性资源下能源社区聚合器的最优运行策略

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-03-07 DOI: 10.1109/OAJPE.2025.3549113

Xinyi Yang;Tao Chen;Yuanshi Zhang;Ciwei Gao;Xingyu Yan;Hongxun Hui;Xiaomeng Ai

{"title":"The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible Resources","authors":"Xinyi Yang;Tao Chen;Yuanshi Zhang;Ciwei Gao;Xingyu Yan;Hongxun Hui;Xiaomeng Ai","doi":"10.1109/OAJPE.2025.3549113","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3549113","url":null,"abstract":"The widespread integration of renewable energy into the grid emphasizes the issues of power system uncertainty and insufficient flexibility. Heterogeneous flexible distributed resources can address the above challenges by interacting with distribution networks. This paper proposes a multi-timescale optimal operation strategy for an energy community that aggregates multiple distributed resources. Based on flexibility indicators including the degree of load variation and task laxity, a tri-level structure involving distribution system operators (DSOs), aggregators, and the home energy management system (HEMS) is developed. The aggregator serves as mediator between customers and DSOs, gathering the end user’s flexibility through the rescheduling of household appliances to leverage both upward and downward energy adjustments. According to different scenarios and application requirements, a multi-time-scale rolling optimal dispatch model is proposed. The day-ahead dispatch is combined with the Model Predictive Control (MPC) method to achieve fine-grained rolling adjustment of the power dispatch instructions of distributed resources with different time scales. Finally, a simulation experiment example is constructed to verify the effectiveness of the proposed method. The simulation results demonstrate that the economic benefits of end users and aggregators are improved with more grid-friendly load curves.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"157-170"},"PeriodicalIF":3.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10916768","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143706646","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

An Average Power-Based Planning Framework of Transmission Expansion: A New Role for Energy Storage 基于平均功率的输电扩展规划框架：储能的新角色

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-03-06 DOI: 10.1109/OAJPE.2025.3548911

Qian Zhang;P. R. Kumar;Le Xie

{"title":"An Average Power-Based Planning Framework of Transmission Expansion: A New Role for Energy Storage","authors":"Qian Zhang;P. R. Kumar;Le Xie","doi":"10.1109/OAJPE.2025.3548911","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3548911","url":null,"abstract":"This paper introduces a framework and computational algorithm that utilizes energy storage systems in pairs to improve transmission capacity in electric power systems. Recognizing prolonged development timelines and urgent needs for inter-regional transmission corridors, this paper proposes a near-term supplementary solution that schedules pairs of energy storage systems to increase the throughput of congested transmission lines effectively. We establish a theoretical lower bound on the minimum capacity required for electric power delivery, defined as a function of cumulative power over time. In sharp contrast with conventional transmission planning based on peak power delivery, this new framework allows transmission capacity to be designed around average power delivery needs. This shift would significantly enhance asset utilization in a future grid with large renewable power fluctuations. Numerical experiments demonstrate the proposed method across various grids. In the RTS-GMLC system, the minimum line capacity required was reduced by 36.8% compared to peak-based planning and further decreased by 43.5% when contingency scenarios were considered. In the Texas synthetic grid, the approach achieved a 46.2% reduction in line capacity while maintaining system reliability. These results highlight storage’s potential as a transmission asset, providing practical guidance for planning and policy while enabling insights into future market designs.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"122-134"},"PeriodicalIF":3.3,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10915681","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667725","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

Data Availability and Integrity Attacks for Power Systems via Nonlinear Spatial-Temporal Modeling 基于非线性时空建模的电力系统数据可用性和完整性攻击

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-03-05 DOI: 10.1109/OAJPE.2025.3567209

Hongfei Sun;Dongliang Duan;Hongming Zhang;Seong Lok Choi;Jiazi Zhang;Xiaofei Wang;Haonan Wang;Jie Luo;Liuqing Yang

{"title":"Data Availability and Integrity Attacks for Power Systems via Nonlinear Spatial-Temporal Modeling","authors":"Hongfei Sun;Dongliang Duan;Hongming Zhang;Seong Lok Choi;Jiazi Zhang;Xiaofei Wang;Haonan Wang;Jie Luo;Liuqing Yang","doi":"10.1109/OAJPE.2025.3567209","DOIUrl":"https://doi.org/10.1109/OAJPE.2025.3567209","url":null,"abstract":"Cybersecurity has become critical for modern power systems as they increasingly rely on digital communication and computational frameworks. Among cyber-attacks, Data Availability and Integrity Attacks (DAIA)—comprising availability attacks such as Denial-of-Service (DoS) and integrity attacks like replay attack—pose severe risks by degrading the reliability and usability of measurement data essential for operational decision-making. This paper presents a data-driven model using the Volterra series to address DAIA in complex power systems. The proposed model effectively captures spatial-temporal relationships, integrating multiple data sources with varying sampling rates while addressing nonlinear dynamics introduced by renewable energy integration. We develop a scalable anomaly detection framework that identifies such attack patterns, including replay attacks leveraging training data. Extensive simulations on the 240-bus WECC system demonstrate the model’s superior performance, achieving robust detection and accurate data recovery with practical computational requirements. Our work provides actionable insights and configuration guidelines for ensuring power system resilience against evolving cyber threats.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"366-377"},"PeriodicalIF":3.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10988696","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205858","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 Novel Fault Diagnosis of Induction Motor by Using Various Soft Computation Techniques: BESO-RDFA 基于多种软计算技术的异步电动机故障诊断方法：BESO-RDFA

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2025-03-04 DOI: 10.1109/OAJPE.2025.3547731

Kapu V. Sri Ram Prasad;K. Dhananjay Rao;Guruvulu Naidu Ponnada;Umit Cali;Taha Selim Ustun

引用次数: 0