Loau Tawfak Al Bahrani

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Recently Particle Swarm Optimization (PSO) algorithms have been used to solve several engineering optimization problems. In this paper, we propose a novel Orthogonal PSO Learning Algorithm (OPSOLA) to solve Economic Dispatch (ED) problems in a Smart Electric Power Grid (SEPG) application. Thermal power “turbine-generator” has several nonlinear(More)
Particle swarm optimization (PSO) algorithm has been successfully applied to solve various optimization problems in science and engineering. One such popular one is called global PSO (GPSO) algorithm. One of major drawback of GPSO algorithm is the phenomenon of "zigzagging", that leads to premature convergence by falling into local minima. In addition, the(More)
We propose a novel approach called, an orthogonal particle swarm optimization (OPSO) algorithm, for economic dispatch (ED) of thermal generating units (TGUs) in smart electric power gird (SEPG) environment. The characteristics of TGUs are nonlinear and the generation system becomes more and more complicated when these TGUs are subjected to ramp rate(More)
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