优势群体主导型遗传算法在负荷经济调度中的应用  

Genetic Algorithm with Predominance Population as Leading Algorithm Solution of Economic Load Dispatch

作　　者：闫水保[1] 张晓东[1] 

机构地区：[1]郑州大学化工与能源学院,郑州450001

出　　处：《电力学报》2010年第5期366-368,384,共4页Journal of Electric Power

摘　　要：建立了负荷优化分配的数学模型,针对简单遗传算法缺陷,根据具体问题特征提出一种以优势群体为主导的改进遗传算法,并应用于对多台机组的ELD问题进行优化计算。仿真结果表明该方法可以有效避免遗传操作中不可行解的产生,收敛性好,能以更高的精度达到或接近全局最优。同时在数学模型中考虑了汽轮机的阀点效应,结果显示,计及阀点效应后,系统总消耗增加,各机组之间的负荷功率分配发生了较大变化。因此,在建立负荷优化分配模型时阀点效不应忽略。Based on the mathematical model of Economic Load Dispatch（ELD）,a refined genetic algorithm for solving ELD of power systems is proposed to overcome the defects of GA according to the character of the superiority groups.The results of the simulation show that the optimization method is correct and effective.Meanwhile,the valve-point discontinuities is considered and the simulation results show that the cost of the system is increased and the optimization values of load distribution is changed obviously.Therefor,the valve-point discontinuities can not be neglected.

关 键 词：遗传算法 负荷经济调度 阀点效应 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]