Reliability modelling of compressed air energy storage for adequacy assessment of wind integrated power system

Abstract

There are rising opportunities and prospects for integration of a large-scale energy storage system in the electric power system to mitigate the challenges arising from wide-spread growth in variable and uncertain sources of renewable energy generation. Compressed air energy storage (CAES) is one of the promising large-scale energy storage technologies that is being explored. This study presents a novel probabilistic framework to evaluate the reliability benefit of CAES in the wind integrated power system. The developed framework is based on a hybrid approach which is a combination of Monte Carlo simulation (MCS) based state of charge model and analytical method based reliability evaluation. An equivalent average model is developed within the hybrid framework to assess the adequacy benefit of CAES operated to seasonally accumulate and transfer energy. This hybrid method brings together advantages of both MCS and analytical method in reliability evaluation resulting in a comprehensive and computationally efficient framework. A detailed Markov model for CAES component reliability is developed and integrated into the hybrid framework. Case studies are conducted to demonstrate the effectiveness of the proposed framework. The results presented quantify the reliability benefit from diurnal and seasonal energy management in CAES in addition to the environmental and financial benefits.