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The practical economic dispatch (ED) problems have many non-convex characteristics, which makes the searching of the global optimum difficult when using traditional mathematical methods. This paper presents a novel hybrid algorithm (HA) to the ED problems based on the particle swarm optimization (PSO) technique and differential evolution (DE) algorithm. Since the standard PSO has the adversity of...
By integrating the ergodicity of chaos searching and the high efficiency of quantum computation into immune optimization, a novel chaos quantum immune algorithm for power system economic dispatch computation is presented. In this algorithm, antibodies in colonies are coded by quantum bits and updated by quantum rotation gates. To change phase of qubit, two different chaos variables are introduced...
The rational economic load dispatch can not only save the energy, but also improve efficiency of power systems, so it is important to research economic load dispatch problem. However, duo to its complex and nonlinear characteristics, it is difficult to solve the problem using traditional optimization method. PSO has been successfully applied to a wide range of applications, in solving continuous nonlinear...
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