Intelligent Control of Battery Storage for Resiliency Enhancement of Distribution System

Natural disasters and accidents have underscored the need for operative solutions that can enhance the resiliency of power distribution network (PDN). This article proposes novel methods of scheduling of battery energy storage system (BESS) and loads of microgrid to enhance the resiliency of PDN. A mixed-integer linear programming model is developed to minimize the energy mismatch between available resources and critical loads during outage period. The proposed model is aimed at minimizing the shedding of high critical loads (hcl) and maximizing the serving time of hcl during outages. In order to increase the longevity of the load serving, the fuzzy-based approach is developed to control the C_rate of the BESS. Moreover, to increase the resiliency of hcl, partitioning of BESS capacity is proposed, which provides more flexibility for charging/discharging control of the BESS. The concept of variable dispatch interval is introduced to reduce the frequent switching of loads. By considering the reactive power, an apparent power resiliency metric is proposed to quantify the resiliency of PDN. The IEEE 33-bus network is tested under various restoration periods in order to verify the performance of the proposed methodology in the MATLAB environment.