水火电混合系统经济调度的双链态遗传算法

A New Genetic Algorithm Based on Diploid Genotypes for Economical System Dispatching with Combined Hydro-Thermal Power Stations

遗传算法（GA）为求解电力系统经济调度问题提供了一条新的途径．研究了基于双链态基因模型的遗传算法（DGA），给出了显性基因和隐性基因选优准则．应用DGA建立了电力系统经济调度的遗传算法模型，该模型易于考虑系统负荷平衡、用水限制和梯级水电厂之间的水流流达时间等约束条件．在pentium计算机上对由两个火电厂和含有四个梯级水电厂组成的系统进行了仿真计算，取得了满意的效果．

The genetic algorithm has provided a new way to tackle the problem of power system economical dispatching. This paper presents a new genetic algorithm based on the diploid chromosomal structure with a dominance mechanism. A model based on the algorithm is developed for economical system dispatching with combined hydro-thermal power stations. The constraints conditions of the requirements on load balance, water balance and water traveling time between cascaded hydropower stations can easily be taken into account. As an example, a system consisting of 2 thermal and 4 hydroplants is used to test the pesformance of the algorithm and the simulation calculation is run on a Pentium microcomputer. The results are found to be satisfactory.