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中文摘要：
已有的厂级负荷优化分配研究，只单一从煤耗角度，或者从煤耗与某些实际要求结合的角度，如综合考虑快速性或污染排放数量最优。但对于装备直吹式钢球磨煤机的火电厂，分配指令可能引起投运成本，也即厂用电量高并未进行研究。因此，针对此类高电耗量的磨煤机，提出一种综合考虑磨投运成本与总煤耗量的厂级负荷优化分配策略，并基于在混合策略与编码策略两方面进行改进的遗传一禁忌混合算法实现，以确保煤耗量与磨煤机厂用电量二者达到综合最小。最后通过对某厂4×300MW机组仿真说明提出的厂级优化分配策略，以及成本计算与优化算法的有效性。
英文摘要：
In existing plant level load distribution strategies, fuel consumption are considered independently or combined with some other requests, e.g. quick response ability and minimum exhausted gas emission. However, for those thermal power plant equipped with direct feed coal mills, electric power consumption rate have not been considered in any published works. Thus, a new plant level load distribution strategy considering both mills power consumption and fuel cost, was proposed, and utilized via an improved Genetic-Tabu hybrid algorithm, which has promotions in both combination strategy and solution coding measures. The proposed strategy would assure minimum total cost including fuel and electric power consumption. In final part, simulations on a thermal power plant with 4×300 MW units show effectiveness of the strategy and hybrid algorithm.
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