基于可靠度与可观度的量测优化配置研究

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Abstract With the increasing development of the power system,complete absence of one or a few substations data regularly emerges,which may affect the system observability. Currently,observability analysis algorithms which only reflect the possibility of output state variables,fail to reflect numerical stability and veracity of estimation. To solve the problems,first the article combined the N-1 reliability test principle with electric betweenness to define the reliability indicators and the degree of reliability. Then,optimizing the measurement configuration to guarantee full observability of a power system when a station data is completely missing. Second,the observability of system is quantified by the degree of observability with the veracity and numerical stability indicators(obser- vability indicators). Moreover,the utilization of sensitivity theory discovered maximal influence factor of the observability indicators which combined with the past date to go on optimizing the measurement configuration. The method was applied to IEEE 14-bus and 39-bus standard test system. The simulation results verified the performance of the proposed method.

Key words： Measurement configuration degree of reliability degree of observability state estimation

Received: 10 January 2013 Published: 22 January 2015

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TM732

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	Articles by authors
	Lu Zhigang
	Zhao Hao
	Liu Xueying
	Cheng Huilin
	Tian Shasha

Cite this article:

Lu Zhigang,Zhao Hao,Liu Xueying等. Optimal Measurement Configuration Based on Degree of Reliability and Observability[J]. Transactions of China Electrotechnical Society, 2014, 29(12): 180-187.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I12/180

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