遗传算法搜索优化及其在环境经济负荷调度中的应用

SEARCHING OPTIMIZATION USING GENETIC ALGORITHM AND IT' S APPLICATION IN ECONOMIC EMISSION LOAD DISPATCH

建立了环境经济负荷调度(EELD)问题的优化调度模型,提出一种利用MTALAB中的遗传算法与直接搜索工具箱求解这一问题的方法,并与人工神经网络法进行了比较分析。仿真计算表明,该方法将遗传算法较方便地应用到了EELD问题中,在环境经济合理配置的前提下优化分配各单元机组的发电量,且收敛速度快、应用范围广。

An optimized model for solving probelms in economic emission load dispatch （EELD）has been established, putting forward a method for solving said problems by using the genetic algorithm and the direct search toolbox in MATLAB. And a comparison with the artificial neural network method has been analysed. Simulation and calculation show that the proposed method has more conveniently applied the genetic algorithm into problems of EELD. Under prerequisite of reasonably disposing the economic emission load,this method can optimize the distribution of generated energy from each unit, having fast speed of convergence,and wide scope of application.