Control of PV-Battery System for Resiliency Improvement

Abstract

Natural calamities all over the globe have emphasized the need for operative solutions that can improve the resilience of Power Distribution Networks (PDN) under the scenario of the adverse effects. PDN is comprised of various loads, sources and storage system. Mixed-Integer linear programming (MILP) is used to schedule the battery as well as loads to improve the resiliency of the power system. This work aims at maintaining energy balance between sources and loads, subject to the constraints of serving critical loads for a possibly longer time. The enhancement of high critical loads' resiliency is achieved by managing the battery storage capacity in steps of allotted slabs. A resiliency metric, which is a qualitative index of the resiliency of the considered network is also determined. To test the effectiveness of the optimization technique on the considered network, it is tested for different restoration periods on MATLAB environment.