Optimal planning framework of three phase unbalanced distribution system using multiple DG and DSTACOM under different loading condition

Abstract

In recent times nations across the world are facing an unprecedented crisis due to coronavirus (Covid-19) outbreak, which has adversely affected health care system, economy and the societies across the globe. Resilient power utility system is the need of the hour to revive the economy. Distribution systems across many parts of the globe have the problem of high system loss, high voltage unbalance and poor maintenance of system voltage profile. In this paper the major aim in allocating Distributed Generation (DG) and DSTATCOM is to reduce line loss, decrease voltage unbalance and to maintain the voltage profile in the practical unbalanced distribution system. Improvement of these system performance parameters will in turn enhance the system resilience. Improved Particle Swarm Optimization based on success rate (IPSO-SR) is chosen as the optimization algorithm to solve the planning problem. Security constraints of voltage profile, power factor and power flow were considered in the problem. To validate the proposed methodology IEEE 37 bus feeder which is a real 4.8 KV feeder of California is chosen. The system performance is analyzed for residential load demand as per its growing demand in current pandemic situation. Open Distribution system simulator software (Open DSS) is used for three phase unbalanced power flow analysis of the network. Result of the work validates the effectiveness of this approach.