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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...
Internationally the electricity supply industry has experienced changes in the way that energy is supplied. In recent years this has seen an increasing number of distributed energy sources appearing on the grid. As this change continues there will be a move from ??many loads-few sources?? to the new concept of ??many loads-many sources??. This phenomenon has been termed as Highly Distributed Power...
This paper introduced a genetic particle evolutionary swarm optimization (GPESO) for solving the economic dispatch (ED) in power systems. GPESO is based on the genetic particle swarm optimization (GPSO). GPSO was derived from the original particle swarm optimization (OPSO), which was incorporated with the genetic reproduction mechanisms, namely crossover and mutation. To enhance the search performance...
This paper presents a method for environmentally constrained economic dispatch in power systems. Economic dispatch problem is basically an optimization problem where objective function may be highly nonlinear, non-convex, non-differentiable and may have multiple local minima. Therefore classical optimization methods may be trapped to any local minima and may not be able to reach the global minima...
Differential evolution (DE) is a powerful population-based algorithm of evolutionary computation field designed for solving global optimization problems. The potentialities of DE are its simple structure, easy use, convergence speed and robustness. However, the control parameters and learning strategies involved in DE are highly dependent on the problems under consideration. Choosing suitable parameter...
This paper presents a model for power systems operation planning that aims to maximizing the voltage stability margin and also the economic dispatch, formulated as a bilevel programming problem (BPP). The objective is to obtain a solution for the network operation planning that takes into account both technical and economical aspects. The bilevel model allows system operators to define different objective...
This paper presents a practical approach to implement the economic power dispatch of the power system in Southern China. The proposed economic dispatch method consists of two stages. The first stage involves the classic economic power dispatch without considering network loss, where the initial generation plans of the generator units are determined according to the rank of fuel consuming characteristic...
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