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Wang Dongju
Zhejiang University

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Study on Fundamental Principles and Methodologies of Distribution Network Reconfiguration Feng Xiaoke; Shen Weiwei; Dong Chunyu; Zeng Jianliang; Shi Jidong; Wang Dongju
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Distribution network reconfiguration is not only of great use in controlling and improving power distribution system’s operation environment, but also an essential part of the distribution management system. Thus the research on fundamental principles and methodologies of distribution network reconfiguration is very important and meaningful. This article has suggested the principles of distribution network reconfiguration under circumstances of normal operation and service restoration after faults, and one step further focused on typical algorithms applied in the area including optimal power flow algorithm, branch exchange algorithm, simulated annealing algorithm, artificial neural network algorithm, genetic algorithm and tabu search algorithm. Based on specific comparison and analysis, this article summarized characters of different methodologies and pointed out that alterations still have to be made to derive better solution. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4564
Study on Locating Techniques of Single-phase Grounding Fault in Distribution Network Wang Jianmin; Shen Weiwei; Chen Yanping; Jin Xin; Shi Jidong; Wang Dongju
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The single-phase grounding fault has great negative influence on neural ineffectively grounding system of distribution network. This article has illustrated and compared commonly used fault locating techniques including the impedance method, travelling wave method and signal injection method. The author has detailed how fault locating could be realized and merits and shortcoming of each method. It is shown that every method still has its own space of improvisation. And the rapid development of smart grid has given directions to further researches. On one hand the current problems of fault location have been revealed in this essay. One step further, this article has made expectations for achieving more accurate and timely fault locating methods. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4565
Fault Recovery of Distribution Network Based on Genetic Algorithm Tian Zeng; Wu Zhigang; Hu Weiyuan; Zhu Xudong; Jidong Shi; Wang Dongju
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Fault recovery of distribution network is realized by operating switches to change topological structure of the network. The final destination of fault recovery is power loss minimization, fault isolation and power load transfer. This article has built the mathematical model of fault recovery considering constraints of node voltage, line capacity and power flow balance. The objective function is power loss reduction. Further, the genetic algorithm is used to solve the proposed model. The optimal network structure and recovered power load could be derived through calculation. Finally, the author complied the program with Matlab and tested it on the IEEE33 bus system. The simulation and analysis results have verified the effectiveness of the proposed method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4567
Co-Authors Chen Yanping Dong Chunyu Feng Xiaoke Hu Weiyuan Jidong Shi Jin Xin Shen Weiwei Shi Jidong Tian Zeng Wang Jianmin Wu Zhigang Zeng Jianliang Zhu Xudong