针对火电厂负荷优化分配问题,将同时考虑发电成本、污染排放和负荷调整时间三个方面,建立多目标优化组合模型.在优化算法上,提出一种小生境遗传禁忌搜索混合算法.此算法以小生境遗传算法为主体,避免传统遗传算法“早熟”和解的多样性不足的问题；并结合禁忌搜索思想,使用TSR算子进行交叉操作,改进了传统遗传算法局部搜索能力较差和收敛速度有待提高的问题.以某火电厂2台200 MW和2台300 MW机组负荷优化分配为例,将所提混合算法与其他两种传统算法进行了对比验证,结果表明此改进混合算法的有效性.%According to the concept of load dispatch in power plants, this paper considers the power cost, pollution e-mission and load adjusting time. Then a multi-objectives optimal load dispatch model is presented in the paper. A hybrid optimization algorithm is used to solve the above problem. The algorithm takes niche genetic algorithm as the main part to control the pre-maturity and solve the lack of diversity;at the same time, TSR operator in crossover is used to improve local search ability and convergence speed. Take the load optimal problem of 2-machine 200 MW and 2-ma-chine 300 MW units in a thermal power as an example, the effectiveness and contrast between the hybrid algorithm and the other two traditional methods are verified. The results show the effectiveness of the hybrid algorithm.
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