Sizing and Siting of Types I–IV DG Units using Chaos-assisted Gravitational Search Algorithm

Abstract

Distributed generation (DG) units are generally categorized in four types depending on their deployment for generation and consumption of active and reactive power. Integration of DG units into an electrical distribution system results in several planning and operational challenges. This work proposes a methodology based on a chaos-assisted gravitational search algorithm for optimal sizing and simultaneous placement of DG units of multiple types. The objective of optimization is to minimize the power loss and voltage deviation while abiding by the constraints of the power system. The proposed methodology is tested on three standard test systems (12-, 33-, 69-bus test system) and a practical feeder of Lahore Electric Supply Company (LESCO), Pakistan. The results confirm that optimal sizing and placement of multi-DG units results in better system performance as compared to placement of any one type of DG. Further, the proposed algorithm for optimal sizing and location of DG units outperforms when compared with an analytical and a heuristic search algorithm.