Optimal sizing of renewable energy and CHP hybrid energy microgrid system

Abstract

This paper presents a new method for optimal sizing renewable energy generations and combined heat and power (CHP) units in a hybrid energy microgrid, considering system operation because of the stochastic varieties of renewable source and the heat and power requirements. A new microgrid system planning model was developed, which was based on hourly energy balance and can meet customer requirements with minimum system annual cost. To solve the planning model, the simulated annealing algorithm was used. The paper presents the development and implementation of the method, and demonstrates its application on the hybrid energy microgrid system of an office park in Beijing.