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

Type recognition and parameter identification of power quality disturbances using improved 1D-YOLO and multi-task learning 基于改进1D-YOLO和多任务学习的电能质量扰动类型识别和参数辨识

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-15 DOI: 10.1016/j.ijepes.2025.110681

Luo Bin , Wang Huifang , Ma Yongji , Chen Wentong , Li Yiming , Ni Xuming

引用次数: 0

An enhanced multi-objective reactive power dispatch for hybrid Wind-Solar power system using Archimedes optimization algorithm 使用阿基米德优化算法的风光互补发电系统增强型多目标无功功率调度方法

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-15 DOI: 10.1016/j.ijepes.2025.110676

Prisma Megantoro , Syahirah Abd Halim , Nor Azwan Mohamed Kamari , Lilik Jamilatul Awalin , Ramizi Mohamed , Hazwani Mohd Rosli

{"title":"An enhanced multi-objective reactive power dispatch for hybrid Wind-Solar power system using Archimedes optimization algorithm","authors":"Prisma Megantoro , Syahirah Abd Halim , Nor Azwan Mohamed Kamari , Lilik Jamilatul Awalin , Ramizi Mohamed , Hazwani Mohd Rosli","doi":"10.1016/j.ijepes.2025.110676","DOIUrl":"10.1016/j.ijepes.2025.110676","url":null,"abstract":"<div><div>Optimal reactive power dispatch (ORPD) is essential for addressing power system challenges related to distributed generation (DG), particularly from renewable energy (RE) sources such as wind and solar. The intermittent nature and uncertainty of these energy sources, influenced by varying wind speeds and solar irradiation, complicate their integration into power systems. This paper proposes a solution to the ORPD problem in systems with RE-DG integration using the Archimedes Optimization Algorithm (AOA). The uncertainties of wind and solar power generation were modelled using Weibull and lognormal probability density functions (PDFs), respectively, and the optimization model was tested using a scenario-based method. The AOA was applied to the IEEE 57 bus system to minimize power loss, voltage deviation, and voltage stability index (VSI). The results demonstrated that AOA contributed to a 15.7% reduction in power loss, and an 83.9% enhancement in VSI compared to the base case. In the multi-objective optimization scenario, AOA achieved a 7.1% reduction in power loss, with an additional 11.6% improvement upon the integration of DGs. The performance of AOA was also compared with other metaheuristic algorithms, demonstrating superior results in terms of tracking accuracy and convergence speed. AOA outperformed the multi-objective ant lion optimization (MOALO) and the Levy-based Interior Search Algorithm (LISA) in terms of power loss reduction and voltage stability. AOA achieved a 1.83% lower power loss and a 29.67% lower VSI compared to MOALO. When compared to LISA, AOA achieved a 1.68% lower power loss, demonstrating its superior optimization capabilities. These findings confirm that AOA is a highly effective method for solving the ORPD problem, accounting for renewable energy uncertainties and improving overall system performance.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110676"},"PeriodicalIF":5.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828159","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 generalisable agent-based model of residential electricity demand for load forecasting and demand response management 基于智能体的住宅用电需求负荷预测与需求响应管理模型

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-13 DOI: 10.1016/j.ijepes.2025.110671

Baxter Lorenzo McIntosh Williams , Daniel Gnoth , R.J. Hooper , J. Geoffrey Chase

{"title":"A generalisable agent-based model of residential electricity demand for load forecasting and demand response management","authors":"Baxter Lorenzo McIntosh Williams , Daniel Gnoth , R.J. Hooper , J. Geoffrey Chase","doi":"10.1016/j.ijepes.2025.110671","DOIUrl":"10.1016/j.ijepes.2025.110671","url":null,"abstract":"<div><div>Electrification and increased uptake of intermittent renewable generation challenge power systems worldwide. These challenges increase with increasing renewable generation, such as in Aotearoa New Zealand. To address these challenges, Demand Response (DR) can reduce peak loads and balance demand with intermittent supply, extending network lifetimes and reducing greenhouse gas emissions. In Aotearoa New Zealand, residential demand is the largest contributor to peak loads and a key target for DR. However, residential demand is highly influenced by human behaviour. Current electricity demand models are typically deterministic or stochastic and do not capture behavioural dynamics, the understanding of which is crucial for successful DR. This research presents an agent-based model of residential electricity demand in low-voltage networks, which is built using high-level census data and thus generalisable to regions with similar available data. The model is constructed in MATLAB R2022b with sub-models for appliance use, space heating, and water heating, and validated with real electricity demand profiles from low-voltage distribution transformers in Aotearoa New Zealand and data from appliance use in homes around the country. By incorporating realistic behaviours and their variability, this model offers a platform for testing how human behaviour influences DR strategies and impacts human outcomes. Thus, it can inform and improve the design of DR programs based on program uptake and desired outcomes, leading to decreased network costs through increased resilience and energy security, and reduced greenhouse gas emissions through better utilisation of intermittent renewable generation.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110671"},"PeriodicalIF":5.0,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143823978","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

Consensus control of multiple electric springs considering non-critical load electricity fairness in islanded microgrid 考虑非临界负荷电力公平性的孤岛微电网多电弹簧共识控制

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-12 DOI: 10.1016/j.ijepes.2025.110663

Fagen Yin , Chun Wang

{"title":"Consensus control of multiple electric springs considering non-critical load electricity fairness in islanded microgrid","authors":"Fagen Yin , Chun Wang","doi":"10.1016/j.ijepes.2025.110663","DOIUrl":"10.1016/j.ijepes.2025.110663","url":null,"abstract":"<div><div>Due to the uncertainty of renewable energy source (RES) generation, the islanded microgrid with RESs is prone to voltage and frequency fluctuations. The electric spring (ES) is an effective means to mitigate these fluctuations. However, a single ES may not be sufficient to ensure voltage stability for each node or support system frequency regulation. To address this issue, a consensus control strategy is proposed to coordinate multiple ESs participating in voltage control and frequency regulation. This strategy consists of three layers. The upper layer generates reference voltage and reference angular frequency for each node based on a consensus algorithm. The middle layer calculates d-axis and q-axis components of ES reference output voltage, subsequently synthesizing the reference output voltage of ES. The bottom layer utilizes adaptive sliding mode control to ensure actual output voltage of ES tracks the reference output voltage in real time. This strategy ensures the reactive power output ratio of each ES is equal and that there is consistency in the voltage deviation ratio of each NCL while achieving nodes voltage and system frequency stability.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110663"},"PeriodicalIF":5.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821046","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 high-impedance fault location method for resonant grounded distribution networks based on transformer and few-shot learning 基于变压器和少次学习的谐振接地配电网高阻抗故障定位方法

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-11 DOI: 10.1016/j.ijepes.2025.110649

Bo Li , Yunyao Tan , Kai Liao , Jianwei Yang , Zhengyou He

{"title":"A high-impedance fault location method for resonant grounded distribution networks based on transformer and few-shot learning","authors":"Bo Li , Yunyao Tan , Kai Liao , Jianwei Yang , Zhengyou He","doi":"10.1016/j.ijepes.2025.110649","DOIUrl":"10.1016/j.ijepes.2025.110649","url":null,"abstract":"<div><div>High-impedance faults (HIFs) in resonant grounded distribution networks have illegible fault features, which are difficult to accurately be located. Existing HIF location methods rely heavily on the HIF nonlinearity features rather than the deep laws, the performance and adaptability are invalid. This paper proposes a novel HIF location method based on Transformer and Few-Shot Learning (FSL) for the resonant grounded distribution network. A HIF location method is designed to identify the fault feeder accurately and adaptively, in which the improved Transformer-based HIF location model is constructed to explore deep properties of HIFs with high anti-interference ability. Specifically, the FSL is introduced to construct a HIF location migration structure, which can realize the new topology migration with high accuracy and fast training speed only needing a few fault data. This approach ensures strong accuracy and adaptability in various operational conditions and topologies, making it highly effective for practical applications. Finally, numerical simulations based on PSCAD/EMTDC were carried out, which reveals the accuracy and adaptability of the proposed HIF location method.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110649"},"PeriodicalIF":5.0,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817393","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 novel hybrid interlinking transformer-integrated DFIG wind power and energy storage system with flexible control strategy 一种具有柔性控制策略的新型混合互连变压器集成DFIG风电储能系统

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-10 DOI: 10.1016/j.ijepes.2025.110641

Jinmu Lai , Yang Liu , Xin Yin , Yaoqiang Wang , Jiaxuan Hu , Xianggen Yin , Keliang Zhou

{"title":"A novel hybrid interlinking transformer-integrated DFIG wind power and energy storage system with flexible control strategy","authors":"Jinmu Lai , Yang Liu , Xin Yin , Yaoqiang Wang , Jiaxuan Hu , Xianggen Yin , Keliang Zhou","doi":"10.1016/j.ijepes.2025.110641","DOIUrl":"10.1016/j.ijepes.2025.110641","url":null,"abstract":"<div><div>Double-fed induction generator (DFIG) based wind turbine generator (WTG) demonstrates pronounced sensitivity to the abnormal grid voltages, such as sag, swell or harmonic, which can precipitate disconnections from the power grid due to fault ride-through (FRT) failures. Such disruptions endanger the safe operation of the power system. This paper proposes a novel topology for DFIG-based WTG by integrating a hybrid interlinking transformer (HIT) and energy storage system. The proposed HIT-DFIG system consists of a grid-side converter, rotor-side converter, series converter (SEC), HIT, and direct current energy storage system (DC-ESS). The proposed HIT-DFIG actively adjusts the voltage of the series winding through SEC, achieving active support for the DFIG terminal voltage under grid fault conditions. The DC-ESS provides power support for HIT during the FRT period and has a power smoothing function. Subsequently, the operating principle, and mathematical modeling of HIT-DFIG are analyzed to demonstrate the function of series voltage regulation of HIT. Then, a simplified FRT control strategy is presented, purposed to enhance the low/high/harmonic voltages ride-through capability of DFIG during grid fault scenarios. Finally, the performance of the proposed HIT-DFIG, under diverse operating circumstances such as symmetric and asymmetric grid faults, was verified through simulation and experiments.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110641"},"PeriodicalIF":5.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817394","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

Coordinated bidirectional charging of multiple types of electric vehicles: A risk-based model 多类型电动汽车双向协调充电：一个基于风险的模型

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-10 DOI: 10.1016/j.ijepes.2025.110657

Omid Sadeghian , Behnam Mohammadi-Ivatloo

{"title":"Coordinated bidirectional charging of multiple types of electric vehicles: A risk-based model","authors":"Omid Sadeghian , Behnam Mohammadi-Ivatloo","doi":"10.1016/j.ijepes.2025.110657","DOIUrl":"10.1016/j.ijepes.2025.110657","url":null,"abstract":"<div><div>This paper investigates the bidirectional charging management of distributed parking lots accommodating multiple types of electric vehicles (EVs). The distribution of each EV type accross parking lots is determined based on various factors such as the proportion of EV types at specific load points, the EV penetration rate, peak demand at related load points, the residential load share, and the average household consumption. An 18-bus microgrid containing 8376 EVs of six types is analyzed using a stochastic programming model that incorporates uncertainties in load demand, electricity price, renewable sources, and EV energy usage. The proposed model accounts for power losses in the grid-connected microgrid via an approximate power flow model. Risk management significantly reduces the economic risk of the worst-case scenario by around 20%, while flexible loads reduce carbon emissions by about 10.5% and the expected cost by roughly 4%. Additionally, increasing the willingness rate of EV owners to discharge their vehicles contributes to an additional 2.3% reduction in expected costs. Findings highlight the model’s capability to effectively manage bidirectional charging scheduling for diverse EV types, offering a practical solution for real-world systems facing complex technical and economic challenges.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110657"},"PeriodicalIF":5.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815692","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 multi-time scale charging load forecasting method for electric private cars based on an improved gravity model considering stochastic charging behavior 基于改进重力模型考虑随机充电行为的电动私家车多时间尺度充电负荷预测方法

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-10 DOI: 10.1016/j.ijepes.2025.110640

Xiaohong Dong , Ruize Wang , Xiaodan Yu

{"title":"A multi-time scale charging load forecasting method for electric private cars based on an improved gravity model considering stochastic charging behavior","authors":"Xiaohong Dong , Ruize Wang , Xiaodan Yu","doi":"10.1016/j.ijepes.2025.110640","DOIUrl":"10.1016/j.ijepes.2025.110640","url":null,"abstract":"<div><div>Electric Private Car (EPC) charging load forecasting is the basis of charging facility planning and long-term development of distribution network upgrading and transformation. However, most current studies focus on short-term charging load prediction, and rarely analyze the differences in charging loads in different day types and seasons in future years. As the coupling between operation and planning is increasing, it is not only necessary to observe the intraday charging load characteristics, but also to consider the evolutionary trend of the spatial and temporal distribution of charging loads over long timescales. Therefore, a multi-time scale charging load forecasting method for EPCs based on an improved gravity model that considers stochastic charging behavior is proposed. First, a consumer state decision model based on the Markov chain is construct to deduce the EPC ownership, as the basic data for charging load prediction. Second, based on the travel chain model and the improved gravity model, the user travel behavior for different typical days, seasons and years in each region and each time period in the future is described. Then, a stochastic charging behavior model based on the Hybrid Choice Model (HCM) is constructed. This model is used to simulate the stochastic charging behavior that takes differentiated individual attributes and attitudinal latent variables into consideration, and a simulation process for EPC charging load prediction at multiple time scales, including typical days, seasons, and years, is established. Finally, using the travel data of various administrative districts in Nanjing and EPC ownership, the model proposed in this paper can effectively predict the charging load of different regions at multiple time scales during 2024–2030.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110640"},"PeriodicalIF":5.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815693","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

Precise deloading optimization strategy for wind farm based on the accurate estimation of maximum power 基于最大功率精确估计的风电场精确减载优化策略

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-10 DOI: 10.1016/j.ijepes.2025.110659

Chang Xu , Minghui Yin , Zaiyu Chen , Qun Li , Qiang Li , Yun Zou

{"title":"Precise deloading optimization strategy for wind farm based on the accurate estimation of maximum power","authors":"Chang Xu , Minghui Yin , Zaiyu Chen , Qun Li , Qiang Li , Yun Zou","doi":"10.1016/j.ijepes.2025.110659","DOIUrl":"10.1016/j.ijepes.2025.110659","url":null,"abstract":"<div><div>To alleviate the increasing pressure of frequency regulation on the power grid, wind farms must shift from the traditional maximum power point tracking mode to the deloading mode. Due to the wake effect, the change of the operating state during the wind turbine deloading will directly affect the output of the downstream wind turbine. However, existing deloading strategies still conservatively estimate the maximum power of the wind farm using traditional maximum power point, which ignores the potential power generation capacity caused by the wake effect, and uses it as the baseline power for deloading. This will result in the actual deloading ratio of the wind farm exceeding the grid demand, i.e., excessive deloading, which is adverse to the economic operation. Therefore, to achieve more precise deloading, this paper first combines the key parameters of wind turbine – the rotor speed and pitch angle, and constructs a wind power analysis sensitivity model considering the influence of the wake effect. On this basis, the operating point of each wind turbine that maximizes the wind farm output is analyzed, which is no longer the maximum power point due to the wake effect. Further, a maximum power estimation method for wind farm is proposed, and a precise deloading strategy is designed using this maximum power as the baseline. This strategy further improves the power generation efficiency of the wind farm while precisely meeting the deloading demand of the grid. Finally, the effectiveness and advancement of the proposed method are verified based on SimWindFarm simulation.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110659"},"PeriodicalIF":5.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807105","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 data driven approach using local measurements to locate turbine governors causing forced oscillations 一种数据驱动的方法，使用局部测量来定位引起强制振荡的涡轮调速器

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-10 DOI: 10.1016/j.ijepes.2025.110633

Sigurd Hofsmo Jakobsen , Xavier Bombois , Santiago Sanchez Acevedo , Hallvar Haugdal , Salvatore D’Arco

{"title":"A data driven approach using local measurements to locate turbine governors causing forced oscillations","authors":"Sigurd Hofsmo Jakobsen , Xavier Bombois , Santiago Sanchez Acevedo , Hallvar Haugdal , Salvatore D’Arco","doi":"10.1016/j.ijepes.2025.110633","DOIUrl":"10.1016/j.ijepes.2025.110633","url":null,"abstract":"<div><div>This paper presents a method based on residual analysis and system identification techniques to localize the source of forced oscillations in power systems due to turbine governors in power plants. The method identifies the closed loop dynamics of power plants described by the swing equation. When forced oscillations are detected, they are located by finding the transfer functions that describe the behaviour of the corresponding plant the worst. The method presented in this paper locates the source of forced oscillations based only on local measurements at each plant. This may represent an inherent advantage since it may reduce the need of data measurement and communication. We investigate how the method performs under different process noise levels and also the common assumption that frequency measurements are a sufficient approximation of the machine’s rotational speed. The performance of the method is demonstrated with an hardware-in-the-loop approach on an experimental setup including a real time simulator and phasor measurement units. Sensitivities of the method to different forced oscillations and assumptions are analysed using numerical simulations.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110633"},"PeriodicalIF":5.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807106","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