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| Research of Power System Fault Diagnosis Method Based on Abnormal Changes in the Structure of Power Grid |
| Song Ziyan, Yang Liwei, Liu Zhe |
| He’nan Puyang Power Supply Company, Puyang, He’nan 457000 |
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Abstract The main current research achievements for power system diagnoses are summarized, a fault diagnosis method based on abnormal changes in the structure of power grid is proposed in this paper. Through the analysis of the power flow difference between normal operation and fault tripping, a fault equipment confirmed algorithm based on abnormal changes in the structure of power grid is developed, the evaluation of the action of the related relay protection and circuit breaker is realized by taking the confirmed fault equipment as the beginning of logic analysis. In order to identify the fault information sent out by SCADA system, accident information, abnormal information and status changing information are used in a identify fault information model. The model analyses these three parts information and identify their validity. The model combining with the fault diagnosis method received good results.
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Received: 26 June 2014
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| Cite this article: |
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Song Ziyan,Yang Liwei,Liu Zhe. Research of Power System Fault Diagnosis Method Based on Abnormal Changes in the Structure of Power Grid[J]. Electrical Engineering, 2013, 14(5): 40-43.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2013/V14/I5/40
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[1] CARDOSO G, ROLIM J G, ZURN H H. Identifying the primary fault section after contingencies in bulk power systems. IEEE Trans on Power Delivery, 2008, 23 (3): 1335-1342.
[2] HOR C L, CROSSL EY P A, WATSON S J. Building knowledge for substation-based decision support using rough sets. IEEE Trans on Power Delivery, 2007, 22 (3): 1372-1379.
[3] 郭文鑫, 廖志伟, 文福拴, 等.计及警报信息时序特性的电网故障诊断解析模型[J].电力系统自动化, 2008, 32(22): 26-31.
[4] 张阳, 何正友.一种基于DS证据理论的电网故障诊断方法[J].继电器, 2008, 36(9):5-10.
[5] 王林先, 李乃永.基于粗糙集理论和故障信息网的电网故障诊断方法[J].继电器, 2008, 36(8):59-63.
[6] 赵洪山, 米增强, 杨奇逊. 基于冗余嵌入Petri网技术的变电站故障诊断[J]. 电力系统自动化, 2002, 26(4):32-35.
[7] 廖志伟, 孙雅明, 叶青华.人工智能技术在电力系统故障诊断中应用[J].电力系统及其自动化学报, 2003, 15(6):71-79.
[8] 赵爽, 任建文, 周明.分层式电网故障诊断系统的设计与实现[J].电力系统自动化, 200, 27(19):65-68.
[9] SUN J, QIN SH Y, SONG Y H．Fault diagnosis of electric power systems based on fuzzy Petri nets[J]. IEEE Transactions on Power Systems, 2004, 19(4): 2053-2059.
[10] XU L, YUEN C M. A classification approach for power distribution systems fault cause identification[J]. IEEE Transactions on Power Systems, 2006, 21(1): 53-60.
[11] WANG W P, BAI X M, ZHAO W, et al. Hybrid power system model and method for fault diagnosis[C]. IEEE/PES Transmission and Distribution Conference & Exhibition：Asia and Pacific, Dalian, China, 2005. |
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2013, Vol. 14 
