Optimal operation strategy of an islanded microgrid using genetic algorithm

Abstract

The intermittent nature of renewable energy sources calls for efficient energy management systems in islanded microgrid operation. In order to ensure continuity of power supply to demand all the time, battery energy storage systems(BESS) are employed along with an alternative energy source like a diesel generator. It is essential that the overall operational cost minimization is achieved ensuring the health monitoring of BESS. At every hour, optimal set of actions by the renewable energy resources, BESS and diesel generator need to be found out satisfying the demand and state of charge consideration yielding minimal cost of operation. An attempt has been made to employ genetic algorithm to find the optimal set of actions for overall cost minimization. Results are compared with dynamic programming(DP)andapproximate dynamic programming(ADP).