基于改进和声搜索算法的发电机组动态经济调度

Dynamic Economic Dispatch of Generator Unit Based on Improved Harmony Search Algorithm

发电机组动态经济调度是通过合理规划发电机组在不同时段的功率输出实现燃料成本最小化的。此类问题中含有大量变量,并受到多种约束条件的限制,因此求解难度较大。基于此提出一种基于修正和声记忆考虑操作的改进和声搜索算法,并用其求解发电机组动态经济调度问题。该改进算法在优化后期引入两种和声记忆考虑操作,能够增强自身收敛性,并避免陷入局部最优。根据实验结果可知,改进的和声搜索算法能快速求解5个问题,其获得的燃料成本都低于其他两种算法。

Dynamic economic dispatch(DED)of generator unit minimizes fuel cost by reasonably planning the power outputs of generating units at different times.This issue is difficult to handle since it contains a large number of variables and is limited by many constraints.In this paper,an improved harmony search algorithm based on modified harmony memory considering operation(IHS-MHMC)is proposed to solve the DED problems.At the later stage of optimization,two kinds of harmony memory considering operations are introduced to enhance its convergence and avoid falling into the local optima.According to the experimental results,the improved harmony search algorithm can solve five problems quickly,and its fuel costs are lower than those of the other two algorithms.