Optimal Placement of Distributive Generation Using Crow search Algorithm

Abstract

The current power system relies on centralized large power plants, which are often located far from consumers, leads to increased loss and poor voltage regulation in the system. This has led to the need for new generating stations and increased investment requirements. Distributed Generation at the point of consumption is considered a promising solution to these issues, as it can provide power for increased load demand and improve system performance. The restructured power system environment promotes DG integration in distribution networks, addressing concerns over load growth, environmental issues, and rebate policies. This is to optimize and combination of DG systems in radial distribution system to minimize power loss. The Crow Search Algorithm help’s in reducing the power loss, and the approach is tested by using MATLAB on the IEEE 33 Bus system to analyze the performance of the system.