Reliability evaluation of wind and PV energy penetrated power system

Abstract

This paper presents the reliability evaluation of high wind and photovoltaic (PV) energies penetrated power system at Hierarchical Level I (HL I). First, the renewable unit models are developed by considering the component failure rates and uncertain nature of renewable energy sources. The Data Synthesizer Software is used to extract the hourly wind speed and solar radiation from the weather statistical data. The Fuzzy C-means Clustering Method is used to obtain the required number of generation states from the hourly data. The Markov process is used to obtain both wind and PV models. Then, these renewable models are added to the Roy Billinton Test System (RBTS) by Recursive Algorithm approach and different reliability indices are calculated.