Investigation of Simulated Annealing, Ant-Colony and Genetic Algorithms for Distribution Network Expansion Planning with Distributed Generation

摘要

This paper investigates the use of ant-colony optimization, simulated annealing, and genetic algorithms for distribution network expansion planning (DNEP) including distributed generation (DG). It may be introduced as a combinatorial optimization method that determines the location and capacity of feeders and substations while minimizing the network loss and installation cost. In this paper, DGs are considered in the network expansion planning due to their importance in regulated distribution network. . The implementation of each algorithm for DNE is described and the performance of algorithms is compared with each other. The proposed methods are successfully applied to planning a real distribution network