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A study on load dispatch among thermal power units based on Genetic Algorithm

机译:基于遗传算法的火电机组负荷分配研究

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摘要

This paper presents a Genetic Algorithm optimizing solution (GA) for thermal power units. Based on determined load demand data (equal to output of the whole power plant) and coal consumption model, we utilize GA method to compute its minimum consumption. The simulation proves the algorithm used to solve operational problems is effective and fast convergence to the best region. At last, we try to provide other parallel tools which also can be used to solve this problem for a comparison.
机译:本文提出了一种针对火电机组的遗传算法优化解决方案(GA)。基于确定的负荷需求数据(等于整个发电厂的输出)和煤炭消耗模型,我们利用遗传算法来计算其最小消耗。仿真证明,该算法可有效解决运行问题,并快速收敛到最佳区域。最后,我们尝试提供其他并行工具,这些工具也可以用来解决此问题,以进行比较。

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