Optimal Reconfiguration of Distribution Network Using Modified Culture Algorithm

摘要

This paper proposes a meta heuristic optimization method called modified Culture Algorithm (CA) for reconfiguration of distribution network considering power loss. Modified CA is inspired by culture and culture is collection of different traits, social motivated behavior and individual’s experiences of several generations. These social motivated behavior and individual’s experiences are collected, merged and generalized in the belief space. This belief space is communicated with future generation, which forces the optimization problem towards the global optimal solutions. In the proposed methodology decimal based coding technique has been used to represent chromosomes. To get feasible chromosomes all the time, it is subjected to some graph theory based rules. Direct topological approach has been used for precise calculation of power losses. The proposed methodology has been tested on 16-bus and 33-bus distribution test cases. The obtained result has been compared with some previous paper results and it shows that the proposed method is better than the methods used in previous papers.