Optimum allocation of distributed generations based on Evolutionary programming for loss reduction, and voltage profile correction

This article presents an optimal placement method in order to sizing and sitting of distributed generation in IEEE 33 bus test system. 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. In order to use of EP algorithm, at first, placement problem is written as an optimization problem which includes the objective function and constraints, and then to achieve the most desirable results, Evolutionary Programming (EP) method is applied to solve the problem. 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 in three cases – one DG unit, Two DG units, and Three DG units- will accomplish

Distributed Generation, DG Placement , Evolutionary programming, Optimization