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| Probabilistic Reliability Assessment of Power System Containing Wind Power Based on Latin Hypercube Sampling |
| Jiang Cheng1, Wang Shuo1, Wang Baoqing1, Zhang Jianhua2, Zhao Tianyang2 |
1. State Grid Beijing Fangshan Electric Power company Beijing 100031 China;
2. School of Electrical and Electronic Engineering North China Electric Power University Beijing 102206 China |
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Abstract The reliability of power system is often evaluated through Monte-Carlo (MC) simulation with random sampling, namely MC_RS. But it is inappropriate for the power system with large scale wind power integration, because the sample size is large and the assessment efficiency is low. This paper proposes an improved assessment method by MC_LHS, combined the traditional MC method with LHS (Latin hypercube sampling) method, to improve the coverage of sample values for input spaces of random variables and increase the sampling efficiency. Consequently the integrated assessment method could improve the assessment efficiency and stability, as well as reduce the correlation coefficients of repeated assessment results. The analysis of improved IEEE-RTS 79 reliability test system shows that the proposed assessment method is effective.
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Received: 17 April 2015
Published: 11 July 2016
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2016, Vol. 31 
