Integration of Wind Power Generators for the Enhancement of Profit by Optimal Allocation of SVC

Abstract

Integration of wind power generators with the power grid is an alternate choice to meet out the present energy crisis. Even though wind power generators possess diverse benefits, its intermittent nature causes adverse effects to the entire system. This study proposes an approach to integrate wind power generators in order to satisfy today’s energy crisis and also to enhance the profit by optimal allocation of static VAR compensator (SVC). A new population-based optimization technique grey wolf optimizer (GWO), is used to solve optimal power flow (OPF) problem that uses AC load flow equations to minimize sum of generation cost, investment cost of FACTS devices and cost of wind power generation (WPG). To validate the proposed approach, simulations are carried out on IEEE 6 bus system. The results obtained conclude that by applying GWO, profit is enhanced via optimal allocation of SVC along with the wind power generations (WPG).