基于遗传算法的火电机组负荷优化分配方法研究

Study on load optimal dispatching method for fossil-fired units based on genetic algorithm

依据火电机组的实时煤耗特性曲线,针对目前较实用的负荷优化分配方法——动态规划法的弊端,即在机组数目较多时运算量过大、难以满足实时要求,提出了改进的遗传算法,在加快搜索速度、提高寻优精度、保证群体多样性等方面采取了新的措施。改进后的遗传算法在搜索结果接近全局最优解的前提下,大大提高了寻优速率,具有较高的实用价值。

According to online curve of coal consumption in fossil-fired units, to overcome the defects of the dynamic programming method, an improved genetic algorithm （GA） is suggested. New measures are used to improve searching speed, precision and variety of colony. A case is presented. The calculation result proves the feasibility of this new method.