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A genetic algorithm-based approach to economic dispatch of power systems

机译:基于遗传算法的电力系统经济调度方法

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In view of the Clean Air Act (CAA) of 1990, the economic dispatch problem considering the compensating generation plan provided in the Act is nonlinear, ill-structured and multimodal. This paper presents a genetic algorithm (GA) based approach to solve this problem. Test results show that the genetic algorithm-based approach produces significantly better solutions compared against those obtained using the standard economic dispatch approach. It also proves the robustness of this algorithm in solving this type of optimization problem.
机译:考虑到1990年的《清洁空气法》(CAA),考虑该法规定的补偿发电计划的经济调度问题是非线性的,结构不良的和多模式的。本文提出了一种基于遗传算法(GA)的方法来解决此问题。测试结果表明,与使用标准经济调度方法获得的解决方案相比,基于遗传算法的方法可产生更好的解决方案。它还证明了该算法在解决此类优化问题中的鲁棒性。

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