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)
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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