“…However, this shift from traditional radial systems to meshed networks presents novel challenges for fault location [1]. The single-phase-to-ground location in neutral isolated distribution networks has been a topic of research for a long time and there are numerous available methods [2,3], which can be categorized into four types as follows: steady-state signal-based (SSBM) [4,5], transient signal-based (TSBM) [6,7], signal or disturbance injectionbased (SIBM) [8], and artificial intelligence-based methods (AIBM) [9].…”
A power line carrier (PLC) communication characteristics‐based method is proposed for single‐phase‐to‐ground fault location in neutral isolated medium voltage meshed distribution networks in this paper. The carrier signals with a time‐varying frequency and constant amplitude are processed by a set of PLC transmitters and receivers, whose placement is optimized by regarding the power network as an undirected graph. Two signal encoding and decoding algorithms for the PLC terminals are proposed to avoid using expensive timing systems between the terminals. The fault location technique is implemented by comparing the cosine similarity of amplitude attenuation and phase offset between the fault and a feature library. The node corresponding to the maximum cosine similarity of the characteristics between the present fault and the library is selected as the location of the current fault. Only one set of low‐cost PLC communication terminals and the widely available power lines are needed in the fault location system, making this approach highly practical. Numerical simulations using MATLAB/Simulink have been performed to verify the technique's feasibility. The results show that the method can accurately locate faults in neutral isolated medium voltage meshed distribution networks. Besides, the presented approach achieves a high level of accuracy in estimating transition resistance values.
“…However, this shift from traditional radial systems to meshed networks presents novel challenges for fault location [1]. The single-phase-to-ground location in neutral isolated distribution networks has been a topic of research for a long time and there are numerous available methods [2,3], which can be categorized into four types as follows: steady-state signal-based (SSBM) [4,5], transient signal-based (TSBM) [6,7], signal or disturbance injectionbased (SIBM) [8], and artificial intelligence-based methods (AIBM) [9].…”
A power line carrier (PLC) communication characteristics‐based method is proposed for single‐phase‐to‐ground fault location in neutral isolated medium voltage meshed distribution networks in this paper. The carrier signals with a time‐varying frequency and constant amplitude are processed by a set of PLC transmitters and receivers, whose placement is optimized by regarding the power network as an undirected graph. Two signal encoding and decoding algorithms for the PLC terminals are proposed to avoid using expensive timing systems between the terminals. The fault location technique is implemented by comparing the cosine similarity of amplitude attenuation and phase offset between the fault and a feature library. The node corresponding to the maximum cosine similarity of the characteristics between the present fault and the library is selected as the location of the current fault. Only one set of low‐cost PLC communication terminals and the widely available power lines are needed in the fault location system, making this approach highly practical. Numerical simulations using MATLAB/Simulink have been performed to verify the technique's feasibility. The results show that the method can accurately locate faults in neutral isolated medium voltage meshed distribution networks. Besides, the presented approach achieves a high level of accuracy in estimating transition resistance values.
“…The higher the voltage level, the maintenance difficulty and economic loss caused by the GIS equipment outage maintenance will be greater [9][10]. At present, partial discharge detection as a non-destructive test detection means more and more attention is paid to the study of the effectiveness of local discharge detection of typical insulation defects in the actual operation of GIS [11]. Mastering the development stage, threat level and detection difficulty of local discharge of typical insulation defects in GIS provides the basis for local discharge detection of GIS insulation state, which is of great significance in local discharge detection methods and practical engineering applications [12][13].…”
This paper first introduces the main types of GIS insulation defects and explores the discharge mechanism of GIS insulation. Then, the space of discharge features of GIS insulation defects in a complex electromagnetic environment is constructed, and the feature dimensionality reduction is carried out by using principal component analysis. Then, the support vector machine algorithm is explored and optimized with the immune algorithm to identify and detect the local features of insulation defects. Finally, the local discharge characteristics of GIS insulation defects are investigated through simulation experiments, and the discharge results are analyzed. The results show that the average peak-to-peak value is around 31mV and the power distribution band is 133~168MHZ for the spiky insulation defects, the average peak-to-peak value is around 19.8mV and the power distribution band is around 202MHZ for the metallic particles insulation, and the peak value of the air gap is less than 8mV and more than 48mV for some, and the power distribution band is 98MHZ~146MHZ. The localized discharge characteristics of the defects of the GIS insulation parts are identified and detected by the immune optimization of the support vector machine algorithm. The overall recognition rate of immunodeficient partial discharges of insulating parts is around 0.90. This study is able to detect the type of partial discharges in GIS insulating parts well.
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