optimal allocation of distributed generation and capacitor banks using evolutionary programming

The concern about the limitation of fossil fuels and also rising consciousness of environmental protection, cause the installation of DGs increase annually. This paper develops an optimal placement method in order to sizing and sitting of distributed generation and capacitor banks in IEEE33 bus test system that reconfigured. The algorithm for optimization in this paper is Evolutionary Programming. The proposed objective function considers active power losses of the system and the voltage profile in nominal load of system. High performance of the proposed algorithm in mention system is verified by simulations in MATLAB software and in order to illustrate of feasibility of proposed method this optimization will accomplish in two cases.