Genetic Algorithm Approach to Generation Expansion Planning under Deregulated Environment

This paper presents an application of Improved Genetic Algorithm (IGA) with the support of Optimal Power Flow (OPF) algorithm for the least cost Generation Expansion Planning (GEP) problem under deregulated environment of power system. The proposed GEP model includes the presence of firm bilateral transactions, multilateral transactions and Independent Power Producers (IPP) in the system. The optimal location and size of new generators have also been determined using this model. The performance of the proposed algorithm has been illustrated for 6-year planning period with modified IEEE-30 Bus system. The results of IGA is compared and validated with Dynamic Programming (DP) solutions.