Model Predictive Control for Hybrid Energy Storage System in Active Distribution Network

Abstract

To improve the performance of hybrid energy storage system in ADN, which combines the advantage of high energy storage units and high power storage units under the aim of traditional coordinate control method, a coordinate control method based on model predictive control theory is proposed. The method optimizes the control procedure, taking predict information into account within prospective time window, to realize autonomous area control. The optimization control reaches multi-objective optimization including the stability of autonomous area’s exchange power and optimized power allocation of hybrid energy storage system. The simulation proves that the method can improve the performance of HESS and realize overcharge/over-discharge protecting besides area autonomy. Compared with other coordinate control strategy, the method proposed is mathematically meaningful and convenient to set control parameters.