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

Two-stage optimal scheduling of an islanded microgrid considering uncertainties of renewable energy 考虑可再生能源不确定性的孤岛微电网两阶段优化调度

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-01 DOI: 10.1016/j.ijepes.2024.110324

Xin Zhang , Yuyan Yang , Hongliang Zhao , Yichen Luo , Xiao Xu

{"title":"Two-stage optimal scheduling of an islanded microgrid considering uncertainties of renewable energy","authors":"Xin Zhang , Yuyan Yang , Hongliang Zhao , Yichen Luo , Xiao Xu","doi":"10.1016/j.ijepes.2024.110324","DOIUrl":"10.1016/j.ijepes.2024.110324","url":null,"abstract":"<div><div>Scheduling islanded microgrids in a reliable, economical, and efficient manner is challenging due to the strong uncertainty and randomness of renewable energy generations, like photovoltaic and wind sources. Chance-constrained programming methods have been proposed to balance power supply and demand, but these often consider known probability distributions and chance constraints separately, leading to suboptimal solutions. To address this limitation, this study proposes a novel distributionally robust joint chance-constrained program for modeling the two-stage energy and reserve economic scheduling problem of an islanded microgrid. The Wasserstein distance is used to capture the random characteristics of photovoltaic sources. An optimized Conditional Value-at-Risk (CVaR) approximation method is applied to simplify the conic program of the model into a computationally tractable linear program. Finally, the case study validates that the proposed method reduces solution conservativeness compared to the combined Bonferroni and CVaR approximation method, which considers chance constraints individually. The proposed method enables efficient and practical scheduling decisions for islanded microgrids by considering the joint chance constraints and the uncertain nature of renewable energy.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110324"},"PeriodicalIF":5.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Battery energy storage systems providing dynamic containment frequency response service 提供动态安全壳频率响应服务的电池储能系统

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-01 DOI: 10.1016/j.ijepes.2024.110288

Xihai Cao , Jan Engelhardt , Charalampos Ziras , Mattia Marinelli , Nan Zhao

{"title":"Battery energy storage systems providing dynamic containment frequency response service","authors":"Xihai Cao , Jan Engelhardt , Charalampos Ziras , Mattia Marinelli , Nan Zhao","doi":"10.1016/j.ijepes.2024.110288","DOIUrl":"10.1016/j.ijepes.2024.110288","url":null,"abstract":"<div><div>Battery energy storage systems (BESS) have emerged as a critical component in maintaining power system stability through frequency regulation. Their rapid response and flexible characteristics have generated considerable interest among researchers. This study focuses on the provision of a fast frequency response service, known as Dynamic Containment Frequency Response (DCFR), in Great Britain (GB). It conducts a detailed assessment of BESS-based DCFR service for frequency regulation and State-of-charge (SOC) management, including the configuration constraints set out by the energy recovery rules and SOC management impact. A methodology is presented to investigate the performance of DCFR-based BESS in a power system, alongside a stability analysis focusing on the impact of the SOC management mechanism. The stability study investigates the potential influential factors of battery SOC management when providing DCFR via root locus. For simulation case studies, a power imbalance estimation method is utilized for gaining the input. Based on the stability analysis results, key BESS configuration parameters are examined in an integrated power system model: C-rate, SOC management range, ratio and target. Another influential factor, SOC management time delay, is also analyzed. Finally, a comparison between DCFR and the previous frequency regulation service, Enhanced Frequency Response (EFR), is conducted. The study reveals that improper SOC management in DCFR can lead to SOC oscillation, adversely affecting performance. However, with proper configuration, DCFR offers more favorable outcomes than EFR in terms of frequency quality, SOC levels, and battery degradation.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110288"},"PeriodicalIF":5.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling of small-signal stability margin constrained optimal power flow 小信号稳定裕度约束优化功率流建模

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-01 DOI: 10.1016/j.ijepes.2024.110338

Zheng Huang , Kewen Wang , Yi Wang , Fushuan Wen , Venkata Dinavahi , Jun Liang

{"title":"Modeling of small-signal stability margin constrained optimal power flow","authors":"Zheng Huang , Kewen Wang , Yi Wang , Fushuan Wen , Venkata Dinavahi , Jun Liang","doi":"10.1016/j.ijepes.2024.110338","DOIUrl":"10.1016/j.ijepes.2024.110338","url":null,"abstract":"<div><div>This paper presents a novel small-signal stability margin (SSSM) constrained optimal power flow model for generation dispatch to minimize the generation cost while retaining adequate SSSM. The SSSM constraint is described in terms of the total active load variation between an initial operating point and the critical point, which is located on the dynamic performance boundary of small-signal stability. From the existing SSSM model, where the steady-state equation and the small-signal stability equation are taken into account, a modified SSSM model is proposed to reduce the computational requirement. The sensitivity representation of SSSM with respect to operating parameters is newly derived, which makes it possible for the SSSM and steady-state optimization problems to be jointly solved. A joint solution approach is proposed to solve the small-signal stability margin constrained optimal power flow (SSSMC-OPF) model. Simulation results show that the proposed approach can effectively minimize the generation cost subject to retaining a certain level of SSSM. For an 8-machine 24-bus system and a modified practical 68-machine 2395-bus system, the generation costs of SSSMC-OPF are increased by 5.28% and 2.73%, respectively, but the SSSMs are improved by 45% and 14.41%, respectively, compared to the optimal power flow.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110338"},"PeriodicalIF":5.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Default detection in demand response based on block-sparse structure 基于块稀疏结构的需求响应违约检测

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-01 DOI: 10.1016/j.ijepes.2024.110304

Fangyuan Xu , Shun-ichi Azuma , Koichi Kobayashi , Nobuyuki Yamaguchi , Ryo Ariizumi , Toru Asai

{"title":"Default detection in demand response based on block-sparse structure","authors":"Fangyuan Xu , Shun-ichi Azuma , Koichi Kobayashi , Nobuyuki Yamaguchi , Ryo Ariizumi , Toru Asai","doi":"10.1016/j.ijepes.2024.110304","DOIUrl":"10.1016/j.ijepes.2024.110304","url":null,"abstract":"<div><div>Demand response (DR) is the change in electric consumption by prompting consumers to change their normal consumption patterns in response to financial incentives. In various forms of DR, the <em>contract-based DR</em> is a framework to achieve a certain reduction by the contract with individual participants for their reduction. However, in practice, it is inevitable to encounter a default, implying that some of the participants fail contracted reduction owing to an unexpected event. This study develops a method to detect defaulting participants in contract-based DR. The method iterates two steps: estimating the most suspicious participant and inspecting its smart meter. By utilizing block-sparse structures in the detection problem, it can exactly determine the defaulting participants with a small number of inspections. The performance is evaluated by simulation, which indicates that our method has much higher performance than the conventional method in the sense that the number of inspections approximately 96.8% fewer than that of the conventional one.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110304"},"PeriodicalIF":5.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detecting energy theft with partially observed anomalies 利用部分观测到的异常现象检测能源盗窃

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-01 DOI: 10.1016/j.ijepes.2024.110323

Hua Chen , Rongfei Ma , Xiufeng Liu , Ruyu Liu

{"title":"Detecting energy theft with partially observed anomalies","authors":"Hua Chen , Rongfei Ma , Xiufeng Liu , Ruyu Liu","doi":"10.1016/j.ijepes.2024.110323","DOIUrl":"10.1016/j.ijepes.2024.110323","url":null,"abstract":"<div><div>Energy theft poses a significant threat to the power industry, causing financial losses and grid instability. Existing detection methods often struggle with limited labeled data and the emergence of new, unobserved theft patterns. To address these challenges, we propose a novel method for energy theft detection that effectively leverages both partially observed anomalies and unlabeled data. Our approach integrates Discrete Wavelet Transform (DWT) for feature extraction, Fuzzy C-Means clustering for anomaly grouping, and weighted multi-class logistic regression for ensemble learning. Extensive experiments on a realistic dataset demonstrate that our method achieves high detection accuracy, outperforming several state-of-the-art methods, including deep learning models, while maintaining significantly lower computational cost. This robust and efficient approach enables effective detection of unobserved anomaly classes and reduces false positives, making it a valuable tool for developing reliable energy theft detection systems. We further conduct a feature importance analysis to identify influential features for optimizing detection accuracy and efficiency.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110323"},"PeriodicalIF":5.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Steady-state control and fault ride-through method of IPC-CSC for offshore wind integration 用于海上风电集成的 IPC-CSC 稳态控制和故障穿越方法

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-01 DOI: 10.1016/j.ijepes.2024.110337

Dingteng Feng, Xiaoling Xiong, Chenhao Yao, Chengyong Zhao

{"title":"Steady-state control and fault ride-through method of IPC-CSC for offshore wind integration","authors":"Dingteng Feng, Xiaoling Xiong, Chenhao Yao, Chengyong Zhao","doi":"10.1016/j.ijepes.2024.110337","DOIUrl":"10.1016/j.ijepes.2024.110337","url":null,"abstract":"<div><div>The current source converters (CSCs) have the advantages of high power density and light weight, which are potential topologies for lightening offshore wind turbine converter platforms. The conventional phase-controlled CSC (CPC-CSC) effectively reduces the problems of PWM-CSC, which are high DC voltage fluctuation and high switching losses. However, it has only one degree of control freedom, which is not applicable to offshore wind power systems. On this basis, an improved phase-controlled CSC (IPC-CSC) is investigated to use in offshore wind power integration systems in this paper. After establishing the corresponding mathematical model, the principle of the modulation method is subsequently analyzed. Thereby, the factors affecting the voltage and frequency of the offshore AC systems are explored, and the steady-state control strategy is further proposed. A fault ride-through method utilizing the actively bypassed capability of the CSC is also proposed to suppress the overcurrent in the DC link, which is caused by a fault in the onshore grid. Moreover, the <em>q</em>-axis current injection method of wind turbine converter based on the offshore voltage amplitude deviation is proposed, which is advantageous to the stable operation of the offshore AC system during the fault period and the rapid recovery after the fault is cleared. Finally, typical operating conditions such as steady-state conditions, wind speed drops, and system faults are simulated in PSCAD, and the characteristics of offshore AC faults and DC faults are analyzed respectively to verify the feasibility of the raised schemes.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110337"},"PeriodicalIF":5.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noninvasive condition monitoring of three-phase four-wire inverter system parameters 三相四线制逆变器系统参数的无创状态监测

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-01 DOI: 10.1016/j.ijepes.2024.110329

Yuan Sun, Jie Chen, Xiaoteng Dai, Ruichang Qiu

{"title":"Noninvasive condition monitoring of three-phase four-wire inverter system parameters","authors":"Yuan Sun, Jie Chen, Xiaoteng Dai, Ruichang Qiu","doi":"10.1016/j.ijepes.2024.110329","DOIUrl":"10.1016/j.ijepes.2024.110329","url":null,"abstract":"<div><div>Current condition monitoring of three-phase inverters is mainly for DC-link capacitance, with little attention paid to AC-side parameters, and some of these methods require the addition of DC current sensors or changes in operating conditions. In fact, the AC side inductance degrades with use. In particular, the neutral inductors of three-phase four-wire inverters need to be condition-monitored because of the high failure rate due to the long term exposure to huge ripples. To address the above problems, this paper proposes a zero-sequence current injection method, which can take into account both the AC and DC sides, satisfy the parameter identification of “large capacitance and small inductance”, and does not need to add additional sensors or sampling circuits. Then, the zero-sequence components are extracted by a high-order band-pass filter and a recursive least squares filter. Next, the extracted components are processed by the proposed adaptive forgetting factor recursive least square observer to obtain the recognized parameter values. The speed and accuracy of parameter identification are greatly accelerated by the adaptive processing of the forgetting factor. The three-phase simultaneous identification and back-propagation iteration for the neutral inductor improves the identification accuracy and speed. Finally, a three-phase four-wire experimental platform is built. The experimental results show that the proposed method is still effective under different types of loads and load fluctuation.</div><div>© 2017 Elsevier Inc. All rights reserved.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110329"},"PeriodicalIF":5.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of sub-synchronous oscillation proportional resonance damping controller for doubly-fed wind turbines based on impedance analysis 基于阻抗分析的双馈风力发电机亚同步振荡比例共振阻尼控制器设计

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-01 DOI: 10.1016/j.ijepes.2024.110333

Shiyao Qin , Zehui Wang , Shaolin Li , Renjie Chen , Lingjie Jia , Xiaotao Peng

{"title":"Design of sub-synchronous oscillation proportional resonance damping controller for doubly-fed wind turbines based on impedance analysis","authors":"Shiyao Qin , Zehui Wang , Shaolin Li , Renjie Chen , Lingjie Jia , Xiaotao Peng","doi":"10.1016/j.ijepes.2024.110333","DOIUrl":"10.1016/j.ijepes.2024.110333","url":null,"abstract":"<div><div>Doubly fed induction generators are widely used in wind power generation because of their efficient and low-cost power generation and active-reactive power decoupling control features. For the problem of sub-synchronous oscillation generated by the grid-connected doubly-fed wind turbine through series compensation line, this paper firstly carries out the eigenvalue participation factor analysis of the small signal model including the multi-physical control links of grid-connected system, and an impedance model is constructed for the quantitative analysis of the sub-synchronous oscillation damping characteristics. Applying impedance analysis on the above model, it is concluded that the negative equivalent resistance under the resonant frequency is the cause of sub-synchronous oscillation. Then a controller was designed that uses a high-pass filter in series with a proportional-resonant link to generate an additional oscillation damping component in the rotor winding modulation voltage. Based on the analysis of how controller parameters affect the impedance characteristics, the inequality constraint conditions for the parameter design to optimize the controller’s impedance compensation characteristics and robustness to oscillation frequency is proposed. Finally, the oscillation suppression effect of the controller is analyzed by time domain simulation and it is tested that the controller can suppress sub-synchronous oscillation and has adaptability in scenarios with different parameters.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110333"},"PeriodicalIF":5.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive fault nature identification and soft restart criterion for hybrid multiterminal UHVDCs 混合型多端超高压直流的自适应故障性质识别和软重启标准

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-01 DOI: 10.1016/j.ijepes.2024.110332

Ning Tong , Xinjie Zeng , Ziyi Tan , Guiyuan Li , Dongmei Li , Xiaomei Wu

{"title":"Adaptive fault nature identification and soft restart criterion for hybrid multiterminal UHVDCs","authors":"Ning Tong , Xinjie Zeng , Ziyi Tan , Guiyuan Li , Dongmei Li , Xiaomei Wu","doi":"10.1016/j.ijepes.2024.110332","DOIUrl":"10.1016/j.ijepes.2024.110332","url":null,"abstract":"<div><div>The hybrid multiterminal LCC-MMC UHVDC, despite its efficiency in bulk power transmission, is challenged by difficulties in prompt restarting after DC faults, while the existing method poses security risks to inverter-side converters. In this paper, shortfalls of existing techniques are analyzed, emphasizing the need for a fault nature identification method independent of reflected waves. The dynamics of MMC short-circuit currents during signal injection are examined, paving the way for a secure restart. Based on these findings, a novel soft-restart criterion (SRC) is proposed, achieving a balance between sensitivity, reach, and security. The Fréchet distance (FD) is utilized for graphic characteristic comparison, where calculated results are compared with actual measurements to ensure accurate fault nature identification. Furthermore, countermeasures are implemented to mitigate disruptions arising from synchronization errors and noise contamination. Case studies demonstrate that the proposed method exhibits sensitive and secure fault nature identification, robust performance, high resistive tolerance, and cost-effective timing. It eliminates dead zones and effectively mitigates short-circuit currents.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110332"},"PeriodicalIF":5.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic electricity theft behavior analysis based on active learning and incremental learning in new power systems 基于主动学习和增量学习的新电力系统动态窃电行为分析

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-01 DOI: 10.1016/j.ijepes.2024.110309

Qingyuan Cai , Peng Li , Zhiyuan Zhao , Ruchuan Wang

{"title":"Dynamic electricity theft behavior analysis based on active learning and incremental learning in new power systems","authors":"Qingyuan Cai , Peng Li , Zhiyuan Zhao , Ruchuan Wang","doi":"10.1016/j.ijepes.2024.110309","DOIUrl":"10.1016/j.ijepes.2024.110309","url":null,"abstract":"<div><div>The analysis of energy theft behavior in new power systems is essential for energy sustainable development and maintaining the stable operation of power grids. Traditional data-driven detection models which rely on training on historical data have high cost of training sample labeling. With the progressive development of electricity theft technology, the existing models are limited by the learning of new types of electricity consumption behaviors. Catastrophic forgetting will occur in incremental learning of the model, and a large number of repeated training will increase the training cost of the model. Therefore, this paper combines active learning and incremental learning to analyze the dynamic electricity stealing behavior detection problem in the new power system, and proposes a power theft detection model based on active learning and incremental support vector data description. Firstly, sample filtering strategy for unlabeled data based on gray similarity and kernel function (SFS-GSKF) extracts the most valuable user samples in the new dataset for labeling, so as to reduce the redundancy of user data and reduce the labeling cost. Finally, an adaptive incremental anomaly detection algorithm incorporating active learning (AIAD-AL) is constructed. The model is incrementally updated using the labeled samples of active learning, so as to improve the detection accuracy of new types of anomalous behaviors without forgetting the previous user electricity samples. The simulation results on real electricity consumption datasets show that the algorithm proposed in this paper has excellent sample selection ability, incremental learning capability, and better classification performance compared with existing active learning strategies and incremental detection algorithms.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110309"},"PeriodicalIF":5.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0