|
Title
|
AN EFFICIENT OPTIMAL-POWER-FLOW SOLUTION VIA IMPERIALIST COMPETITIVE ALGORITHM
|
|
Type
|
JournalPaper
|
|
Keywords
|
: Imperialist Competitive Algorithm, Optimal Power Flow (OPF), Evolutionary Algorithm
|
|
Abstract
|
This paper presents an Imperialist Competitive Algorithm (ICA) for Optimal Power Flow (OPF) solution. ICA procures an efficient modeling of non-differentiable and non-linear objective and constraints in OPF optimization problem. Simple implementation, fast convergence within a scant number of steps, and a slimmer objective value are parts of the proposed ICA-OPF algorithm. As a result, ICA-OPF is enabled handling more realistic systems. To evaluate the proposed algorithm, simulations are also conducted on two universally-appreciated metaheuristic techniques of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Obtained results show that the developed ICA-OPF outruns the GA and PSO both in terms of CPU clocking and objective value. The IEEE 57-bus system is employed to test the proposed algorithm against conventional techniques. Based on the simulation results, the proposed method can be installed in Load Dispatch Center with a better solution quality and extensible to larger-scale utility size problem.
|
|
Researchers
|
Mostafa Eidiani (Second Researcher), Hossein Zeynal (First Researcher)
|