Probabilistic Assessment of Voltage in Active Distribution Networks Considering Correlation between Photovoltaic Distributed Generations

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Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran

Abstract

Due to the development of photovoltaic distributed generation (DG) in distribution networks, these DGs can impact on the operation, planning and reliability of system. In this context, this paper has used a probabilistic load flow algorithm to assess the effects of photovoltaic generation uncertainties on the distribution networks. This method is based on the cumulants. It does not need complex computations like convolution method or high computational burden like Monte Carlo simulation. Proposed methodology can evaluate the correlation between input stochastic variables. In this paper, correlation between near wind units is analyzed. To estimate the probabilistic density functions of bus voltages, one of the most precise methods (maximum entropy) is used. Finally, suggested method is applied on the IEEE 33-bus distribution test system and the results are examined. The results analysis demonstrates the accuracy and effectiveness of the proposed method.

Keywords

TABRIZ JOURNAL OF ELECTRICAL ENGINEERING
Volume 47, Issue 3 - Serial Number 81
November 2017
Pages 1161-1169

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