Nanyang Technological University, Singapore
It is my honor to be the editor-in-chief of IJEETC. The journal publishes good papers which focous on the advanced researches in the field of electrical and electronic engineering & telecommunications.
Abstract—This paper presents an efficient and reliable evolutionary-based algorithm to solve the Optimal
Power Flow (OPF) problem of electric power systems. The proposed algorithm employs the
concept of swarm behavior in finding the optimum (e.g., food source) in nature, called Particle
Optimal Swarm (PSO). The problem is to determine the set-point of the power system, including
the power output of generators, the voltage of PV bus, etc., to supply the demand at least cost,
at the same time subject to the equality and inequality constraints of the system. The algorithm
was successfully tested in a 5-bus system and the simulation result showed its robustness and
effectiveness compared to the conventional method in literature.
Index Terms—Optimal power flow, Particle swarm optimization, Evolutionary computation,
Cite: Nguyen Minh Y and Tran Thi Quy Anh, "A NOVEL APPROACH TO SOLVING THE OPTIMAL POWER FLOW PROBLEM BASED ON PARTICLE SWARM OPTIMIZATION," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 5, No. 1, pp. 12-19, January 2016.
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