基于遗传算法的经济负荷调度方法

[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems Pub Date : 1993-04-19 DOI:10.1109/ANN.1993.264299

H. Mori, T. Horiguchi

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引用次数: 33

摘要

提出了一种用于电力系统中发电机负荷经济调度的两阶段遗传算法。将ELD问题表示为拉格朗日函数。传统的遗传算法有一个缺点，即随着变量数量的增加，算法的有效性降低。为了改善遗传算法的特性，提出了一种两相遗传算法来获得更好的解。所提出的遗传算法可用于最小化关于发电机组输出的拉格朗日函数。在一个20单元的系统中验证了该方法的有效性

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A genetic algorithm based approach to economic load dispatching

This paper presents a two-phase genetic algorithm for economic load dispatching of generators in power systems. The problem of ELD is expressed as a Lagrange function. The conventional GA has a drawback that the algorithm is not so effective as the number of variables increases. To improve the GA characteristic, a two-phase GA is proposed to obtain better solutions. The proposed genetic algorithm may be applied to minimize the Lagrange function with respect to the generator unit output. The effectiveness of the proposed method is demonstrated in a 20-unit system.<>

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[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems

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