Optimal Deployment of DG and DSTATCOM in Distribution System Using Swarm Intelligent Techniques

Abstract

Power distribution system delivers the electrical power to the end-users. While doing this, it experiences some issues related to power loss, voltage profile, stability, power quality, reliability etc. Dynamic control of the power supply in Radial Distribution System (RDS) is possible by introducing Distributed Generation (DG) and Distribution Static Compensator (DSTATCOM). Benefits of integrating DG and DSTATCOM in RDS include improvement in voltage profile, voltage stability, reliability, power quality, harmonic mitigation and reduction in active as well as reactive power losses. DG and DSTATCOM are beneficial to RDS if they are placed optimally. This paper presents a method to improve voltage profile and reduce losses in RDS. In this paper, a recent nature inspired optimization method called Modified Variant of Grey Wolf Optimizer (MVGWO) has been utilized for optimal location and sizing of DG and DSTATCOM in RDS. The simulation results are compared with the existing method of Particle Swarm Optimization (PSO). Simulation results are obtained using MATLAB software. The efficacy of MVGWO algorithm is illustrated with two test systems i.e. 33-bus and 69-bus RDS.