Optimal Power Flow Solution of the Algerian Electrical Network using Differential Evolution Algorithm
Abstract: This paper presents
solution of optimal power flow (OPF) problem of a power system via differential
evolution (DE) algorithm. The purpose of an electric power system is to deliver
real power to the greatest number of users at the lowest possible cost all the
time. So the objective is to minimize the total fuel cost of the generating
units and also maintaining an acceptable system performance in terms of limits
on generator reactive power outputs, bus voltages, static VAR compensator (SVC)
parameters and overload in transmission lines. CPU times can be reduced by
decomposing the problem in two subproblems, the first subproblem minimize the
fuel cost of generation and the second subproblem is a reactive power dispatch
so optimum bus voltages can be determined and reduce the losses by controlling
tap changes of the transformers and the static VAR compensators (SVC). To
verify the proposed approach and for comparison purposes, we perform
simulations on the Algerian network with 114 buses, 175 branches (lines and
transformers) and 15 generators. The obtained results indicate that DE is an
easy to use, fast, robust and powerful optimization technique compared to the
other global optimization methods such as PSO and GA.
Author: Linda Slimani, Tarek
Bouktir
Journal Code: jptkomputergg120041