A Three-Point Estimate Method for Solving Probabilistic Load Flow Based on Inverse Nataf Transformation
Zhang Libo1, Cheng Haozhong1, Zeng Pingliang2, Yao Liangzhong2, Masoud Bazargan3
1. Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education Shanghai Jiao Tong University Shanghai 200240 China; 2. China Electric Power Research Institute Beijing 100192 China; 3. ALSTOM Grid Research & Technology Stafford ST17 4LX UK
Abstract：With the increasing penetration of wind sources, not only the fluctuation and intermittency of wind power, but also the correlations among wind farms should be considered in power system analysis. Nataf transformation and inverse Nataf transformation establish the relationship between independent standard normal space and correlated non-normal space. By incorporating inverse Nataf transformation, this paper proposed a novel three-point estimate method to solve the probabilistic load flow problems considering correlations among input variables. Accuracy and efficiency of the proposed algorithm has been validated by the comparative tests in a modified IEEE RTS 24 bus system and a modified IEEE 118 bus system.
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2016, Vol. 31 
