Multi-objective planning for the allocation of PV-BESS integrated open UPQC for peak load shaving of radial distribution networks

Abstract

Abstract This paper presents a multi-objective planning approach for the optimal allocation of PV-BESS integrated open UPQC (PV-BESS-UPQC-O) for peak load shaving of radial distribution networks. The open UPQC (UPQC-O) is a custom power device which consists of series and shunt inverters. It is designed to provide reactive power compensation and to mitigate some power quality problems. The UPQC-O is integrated with BESS to inject active power to the network during peak hour for peak load shaving. The charging of BESS is to be done using PV panel. A multi-objective optimization problem is formulated, in which maximization of peak load shaving, minimization of cost of placement of PV-BESS-UPQC-O, and minimization of total power loss during peak load demand with the placement of PV-BESS-UPQC-O are the objective functions. The limits on bus voltage magnitude, line current flow, and PV capacity are the constraints of this optimization problem. The Pareto-based multi-objective particle swarm optimization (MOPSO) is used to simultaneously optimize these objectives so as to obtain a set of Pareto-approximation solutions. From this set, a distribution network owner can choose a solution depending upon its desired level of peak load shaving, power loss, and capital expenditure budget.