Optimal Scheduling of microgrid Based on Improved Whale Optimization Algorithm

Abstract

With large-scale renewable energy connected to the microgrid, its uncertainty directly affects the optimal scheduling of the microgrid. In this paper, an optimization model of day-ahead operation schedule for the microgrid is constructed aiming at minimizing operation costs, with consideration of maintenance, loss and utilization cost of photovoltaic and energy storage. Then an improved whale optimization algorithm is proposed to solve this optimization problem. Nonlinear variable and self-adaptive weight are adopted to enhance local search ability and solution speed of algorithm, meanwhile, Cauchy disturbances is introduced to increase global search ability of the algorithm. Finally, the simulation results demonstrate the effectiveness of the model and the superiority of the algorithm.