Stochastic optimization framework for scheduling isolated microgrids

Abstract

This work proposes a stochastic optimization framework for coordinating the power Hows in isolated microgrids incorporating diesel generators, solar array in addition to the BESS, based on the predicted RES generation and load demand. More precisely, a deterministic optimal schedule is firstly derived based on dynamic programming (DP) and the algorithm is then extended using the Genetic Algorithms (GA) to minimize the huge searching space and to find a reasonable schedule within a shorter time. The proposed stochastic method is expected to achieve a reasonable schedule within an appropriate time-budget in order to enable a real-time operation of the microgrid. The simulation results show a significant reduction of the total operation cost when compared with the conventional priority based approach which does not involve the feature of prediction.