计及风电场发电功率不确定性的电力系统模糊潮流

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Abstract The intermittent and fluctuant nature of wind generation is posing great new issues and challenges to the planning and operation of interconnected power systems with high penetration of grid-connected wind farms. In this paper, the probability theory and fuzzy sets theory are employed to carry out systematic and thorough studies on power system fuzzy load flow calculation incorporating uncertainties of wind farm generation. The Weibull distribution curve with specified parameters is simulated as the wind speed probability density distribution, and with the possibility/probability consistency principle(PPCP), the wind speed probability density distribution is first transformed to the wind speed possibility distribution. In accordance with simplified power-speed curve of squirrel cage induction generator (SCIG), the fuzzy model of SCIG power output is then built. The proposed fuzzy model is linearized further for simplicity. The sensitivity analysis based method is also employed to carry out the possibility distribution of fuzzy load flow solutions. Numerical results based on a modified IEEE 14-bus system demonstrate the validity and effectiveness of the proposed models and methods.

Key words： Wind intermittence SCIG probability density fuzzy set theory AC load flow

Received: 21 April 2009 Published: 04 March 2014

PACS:

TM744

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	Articles by authors
	Hong Lucheng
	Shi Libao
	Yao Liangzhong
	Masoud Bazargan
	Ni Yixin

Cite this article:

Hong Lucheng,Shi Libao,Yao Liangzhong等. Fuzzy Modelling and Solution of Load Flow Incorporating Uncertainties of Wind Farm Generation[J]. Transactions of China Electrotechnical Society, 2010, 25(8): 116-122.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2010/V25/I8/116

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