MULTI–OBJECTIVE TRANSMISSION EXPANSION PLANNING USING FUZZY–GENETIC ALGORITHM

In this paper a new framework is presented for multi–objective TransmissionExpansion Planning (TEP). This framework is based on a multiple criteria decision making whosefundamental elements are REliability and MARKet (REMARK). Investment cost, congestion cost,Users Benefit (UB) and Expected Customer Interruption Cost (ECOST) are considered in theoptimization as four objectives. The proposed model is a complicated non–linear mixed–integeroptimization problem. A hybrid Genetic Algorithm (GA) and Quadratic Programming (QP) isused, followed by a Fuzzy Sets Theory (FST) to obtain the final optimal solution. The planningmethodology has been demonstrated on the 6–machine 8–bus test system to show the feasibilityand capabilities of the proposed algorithm. Also, in order to compare the historical expansion planand the expansion plan developed by the proposed methodology, it was applied to the real lifesystem of the northeastern part of Iranian national 400–kV transmission grid.