Electric Power Systems Research最新文献_第4页

Active and reactive power coordination optimization for active distribution network considering mobile energy storage system and dynamic network reconfiguration 考虑移动储能系统和动态网络重构的主动配电网络有功和无功功率协调优化

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-09-18 DOI: 10.1016/j.epsr.2024.111080

{"title":"Active and reactive power coordination optimization for active distribution network considering mobile energy storage system and dynamic network reconfiguration","authors":"","doi":"10.1016/j.epsr.2024.111080","DOIUrl":"10.1016/j.epsr.2024.111080","url":null,"abstract":"<div><p>The active distribution network (ADN) can face with challenges due to the increasing renewable distributed generation (RDG), which may result in elevated network losses and voltage fluctuations. To address these issues, a novel operation strategy is proposed which integrates the mobile energy storage system (MESS) and dynamic network reconfiguration (DNR) to adjust the active and reactive power of the ADN. The transportation network (TN) is modeled considering the traffic congestion, and the path movement of MESS in TN is converted to the switching of virtual switch (VS) in ADN. A coordinated optimal model is formulated for DNR and MESS, furthermore, which can be transformed into a mixed-integer second-order cone programming (MISOCP) model. The penalty alternating direction method (PADM) is employed to enhance the computational efficiency. Then the proposed strategy is tested by the IEEE 33-bus system coupled with the 15-node transportation systems, and the stability of the proposed strategy was validated in a larger scale expansion system. The simulation results demonstrate that the coordinated optimal strategy considering MESS and DNR can effectively reduce network loss and transportation cost, enhance the voltage quality of the ADN and promote the consumption of renewable energy.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378779624009659/pdfft?md5=a8cff155919085d1884869a125d8f129&pid=1-s2.0-S0378779624009659-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Improved scheme of grid-connected inverters based on virtual PCC and impedance remodeling with enhanced steady-state and dynamic performance 基于虚拟 PCC 和阻抗重塑的并网逆变器改进方案，可提高稳态和动态性能

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-09-18 DOI: 10.1016/j.epsr.2024.111064

{"title":"Improved scheme of grid-connected inverters based on virtual PCC and impedance remodeling with enhanced steady-state and dynamic performance","authors":"","doi":"10.1016/j.epsr.2024.111064","DOIUrl":"10.1016/j.epsr.2024.111064","url":null,"abstract":"<div><p>The issue of low-frequency oscillation (LFO) becomes more prominent when considering the phase-locked loop (PLL) impact of grid-connected inverter (GCI) under weak grid. Impedance analysis shows that the frequency interaction point outside the capacitive negative damping region can effectively avoid the oscillation. Therefore, a modified PLL scheme is designed to shape the characteristics of the GCI output impedances, which effectively tracks the grid phase through the virtual point of common coupling and adjusts the phase- frequency characteristic of the GCI equivalent output impedance towards an increasing phase angle. On this basis, the impedance remodeling strategy is used to improve the system, which further broadens the feasible range of stable operation and ensures the phase margin of the GCI. The comparison results indicate that proposed scheme demonstrates enhanced capability in suppressing LFO and exhibits a wider range of adaptability to grid impedance. Experimental validation has verified the accuracy of the theoretical analysis, leading to the conclusion that the GCI with proposed scheme possesses superior dynamic performance.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378779624009490/pdfft?md5=74b623e490d52939ce495eb4c303a338&pid=1-s2.0-S0378779624009490-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Energy management for smart residential homes: A real-time fuzzy logic approach 智能住宅的能源管理：实时模糊逻辑方法

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-09-17 DOI: 10.1016/j.epsr.2024.111057

引用次数: 0

A deep learning deviation-based scheme to defend against false data injection attacks in power distribution systems 基于深度学习偏差的配电系统虚假数据注入攻击防御方案

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-09-16 DOI: 10.1016/j.epsr.2024.111076

{"title":"A deep learning deviation-based scheme to defend against false data injection attacks in power distribution systems","authors":"","doi":"10.1016/j.epsr.2024.111076","DOIUrl":"10.1016/j.epsr.2024.111076","url":null,"abstract":"<div><p>Defending against false data injection attacks (FDIAs) in cyber-physical power systems is crucial. Detection in power distribution systems is complex due to load variations, uncertainties, and fewer meters. Defense strategies include model-driven and data-driven approaches, but model-based methods can trigger false alarms due to threshold setting issues. The current research proposes a novel data-driven method to address threshold setting issues in detecting and localizing FDIAs in power distribution systems. First, a dataset is created by recording estimated measurement values using an unscented Kalman filter and weighted least squares across various attack scenarios. These estimated measurements are then fed into a deep artificial neural network (ANN) for binary classification to detect attacks. The output, along with the estimated measurements, is used by another ANN to localize the corrupted meter zone. This deep learning-based approach improves threshold setting over the common chi-square method. Results show that the proposed deep learning method for FDIA detection and localization outperforms a recently proposed ensemble of shallow models. The area under the curve value increases by about 5% with lower training time. The approach is also effective against previously unseen attack strategies and different feeder topologies.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378779624009611/pdfft?md5=8527ae2c721458191dc02147d3748ea2&pid=1-s2.0-S0378779624009611-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142233911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Classification of complex power quality disturbances under noisy environment using Root-Music and least square techniques 使用根音乐和最小平方技术对噪声环境下的复杂电能质量干扰进行分类

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-09-14 DOI: 10.1016/j.epsr.2024.111030

{"title":"Classification of complex power quality disturbances under noisy environment using Root-Music and least square techniques","authors":"","doi":"10.1016/j.epsr.2024.111030","DOIUrl":"10.1016/j.epsr.2024.111030","url":null,"abstract":"<div><p>In this paper, a hybrid classification approach for single and complex power quality disturbances is proposed. This approach combines the Root-Music and least square techniques. Firstly, the frequencies are extracted by the Root-Music technique, including those of harmonic components. Afterward, the amplitude components are extracted using the least square technique. Once frequency and amplitude components are extracted, the waveform distortion of voltage is analyzed using the known criteria of total harmonic distortion. The value of this criterion allows for pre-classifying the disturbance into one of two classes. Then, the value of the extracted amplitudes of signals allows the identification of the corresponding disturbance. The classifier performances are validated by several tests using real power and synthetic data. The achieved results prove the effectiveness of the classifier compared to recent state-of-the-art techniques, especially in highly noisy environments. These results show that the proposed classifier leads to the highest classification accuracy of 100% at 20 dB, compared to those of other classifiers. Furthermore, this classifier demonstrates high classification accuracy even under challenging conditions with a high noise level of 10 dB.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378779624009167/pdfft?md5=5c80833eaefb71b5012330824918fd25&pid=1-s2.0-S0378779624009167-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142230116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

A fast detection method for metering anomalies of three-phase energy meters based on sliding filter and decision tree 基于滑动滤波器和决策树的三相电能表计量异常快速检测方法

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-09-14 DOI: 10.1016/j.epsr.2024.111056

{"title":"A fast detection method for metering anomalies of three-phase energy meters based on sliding filter and decision tree","authors":"","doi":"10.1016/j.epsr.2024.111056","DOIUrl":"10.1016/j.epsr.2024.111056","url":null,"abstract":"<div><p>In the actual measurement of three-phase electricity meters, the presence of electromagnetic interference, environmental temperature, and other factors increases the noise in the measurement data, which affects the accuracy of anomaly detection. In this regard, a fast detection method for three-phase meter measurement anomalies based on sliding filters and decision trees is studied. Firstly, sliding filtering and sliding window matrix methods are used to reduce the dimensionality and filter the measurement data of three-phase electric meters. Then, a cascaded random forest is constructed using a CART decision tree, and the filtered three-phase meter measurement data is input into the cascaded random forest. The CART decision tree uses a binary method to partition the nodes. Finally, using the Gini coefficient as a measurement indicator, a cascaded structure is formed through layered stacking to output rapid detection results of outliers in three-phase electricity meter measurements. The experimental results show that this method can quickly detect measurement abnormalities of three-phase energy meters, timely detect meter flying anomalies and unexpected mutations, and improve the fault handling efficiency of three-phase energy meters.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378779624009416/pdfft?md5=89d26af68dcd62f2087d76023d6a9fca&pid=1-s2.0-S0378779624009416-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Key node identification and network simplification modelling method for optimal power flow analysis of active distribution network 用于有源配电网最佳功率流分析的关键节点识别和网络简化建模方法

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-09-14 DOI: 10.1016/j.epsr.2024.111066

{"title":"Key node identification and network simplification modelling method for optimal power flow analysis of active distribution network","authors":"","doi":"10.1016/j.epsr.2024.111066","DOIUrl":"10.1016/j.epsr.2024.111066","url":null,"abstract":"<div><p>With the increasing scale of active distribution network (ADN), the power flow analysis of ADN faces with many difficulties, such as insufficient online measurement and high complexity of overall modelling. Therefore, this paper proposes a key node identification and network simplification modelling method for the optimal power flow (OPF) analysis of ADN. Firstly, a voltage extremum similarity index is proposed and combined with K-means clustering algorithm to partition the ADN into several clusters, and then a comprehensive evaluation index is constructed with the entropy weight method to identify the key nodes of each cluster. On this basis, a key node reduction procedure is established with the comprehensive index of voltage violation probability to further reduce the scale of key nodes. After that, the power supply paths between key nodes are searched by the depth-first search algorithm to construct the topology of simplified network and then an improved π-type simplification network method is proposed with load displacement principle to establish the simplified network model with low dimension. Finally, the modified IEEE 123-bus system is used to verify the effectiveness and accuracy of proposed method. The simulation results indicate that the proposed key node identification method can accurately identify the voltage extreme nodes including PV connected nodes, and the proposed network simplification method can effectively improve the efficiency of OPF analysis with guaranteed accuracy.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378779624009519/pdfft?md5=bb5fdca64111f24e612350260e755f79&pid=1-s2.0-S0378779624009519-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

A CNN-based approach for anomaly detection in smart grid systems 基于 CNN 的智能电网系统异常检测方法

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-09-14 DOI: 10.1016/j.epsr.2024.111077

{"title":"A CNN-based approach for anomaly detection in smart grid systems","authors":"","doi":"10.1016/j.epsr.2024.111077","DOIUrl":"10.1016/j.epsr.2024.111077","url":null,"abstract":"<div><p>Power grids are always a major center of attraction for attackers due to their large coverage area, complex technological infrastructure, remote access facilities, connectivity, and many more. The power grids that have bidirectional power flow, information interchange, and advanced communication technologies to improve the quality of power transmission and distribution are called smart grids. DoS attacks and false data injection attacks are the two major attacks on smart grids. This paper considers a false data injection attack considering noise reduction, state estimation, system parameters, and control system generation. Firstly, we measure the noise and mitigate it using the data matrix of the devices (sensors, generators, substations, and breaker systems). Secondly, state estimation uses the CNN to track the injected attack types. Finally, a control system is designed to provide anomaly patterns to the devices as input to prevent attacks in the future. The experimental results show that the proposed method achieves a higher anomaly detection rate with a lower error rate (approximately . 1.43%). The network performance parameters are providing significant results; throughput (12 Mbps), PDR (0.005%), execution time (1.43 s), and energy consumption are reduced by 12%–15% as compared to the existing research findings.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378779624009623/pdfft?md5=28f86586ef726a6458a792ef4ccd091a&pid=1-s2.0-S0378779624009623-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Improved MSTOGI-PLL with enhanced control under non-ideal grid voltage conditions 在非理想电网电压条件下加强控制的改进型 MSTOGI-PLL

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-09-13 DOI: 10.1016/j.epsr.2024.111060

{"title":"Improved MSTOGI-PLL with enhanced control under non-ideal grid voltage conditions","authors":"","doi":"10.1016/j.epsr.2024.111060","DOIUrl":"10.1016/j.epsr.2024.111060","url":null,"abstract":"<div><p>Integration structure of second- and third-order generalized integrator phase-locking loop (MSTOGI-PLL) has received attention for the processing ability of harmonics and DC bias contained in grid voltage. However, due to that MSTOGI-PLL is sensitive to interharmonics and subharmonics, once low order harmonics dominate, the narrow bandwidth will result in slow response. Hence, based on the analysis on input and output frequency characteristics of existing MSTOGI, a frequency gain structure within the MSTOGI structure is added to improve the suppression ability, either to low-frequency or high-frequency harmonics. Secondly, in order to accelerate response and reduce overshoot of the output frequency of the phase-locked loop (PLL), a nonlinear PI dynamic regulator based on a hyperbolic threshold function is constructed. Furthermore, from the perspectives of voltage phase and frequency tracking error indicators, by comparing with three other types of PLL structures in weak grid application, the effectiveness of the proposed method is verified through simulation cases. Finally, a physical hardware platform based on dSPACE1104 is built to extract the grid voltage from the three-phase voltage regulating transformer, the theoretical derivation and simulation results are verified. The phase deviation is controlled within 0.44 rad s<sup>-1</sup>, and frequency deviation is controlled within 0.07 Hz.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378779624009453/pdfft?md5=53ff6391c698dffea5ac60e89614a5eb&pid=1-s2.0-S0378779624009453-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Experimental recurrence of an unreported fire risk of power cable: Discharge of bracket cable metallic grounding under coupled vibration conditions 未报告的电力电缆火灾风险的实验性复发：耦合振动条件下支架电缆金属接地的放电

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-09-13 DOI: 10.1016/j.epsr.2024.111033

引用次数: 0