电力系统经济负荷分配问题的智能算法优化研究

Research on Intelligent Algorithms for Economic Load Distribution in Power System

针对电力系统经济负荷分配问题具有多维、非线性、不可导和多约束等特点,采用智能算法进行求解和优化。差分进化算法具有结构简单、操作容易、收敛速度快等特点。鉴于此,分析差分进化算法的原理,利用差分进化算法求解电力系统经济负荷分配问题,得到每个机组的功率输出和最优解,并得到收敛曲线。计算结果显示,差分进化算法求解电力系统经济负荷分配优化问题具有较高的求解精度和收敛速度。

Aiming at the multi-dimensional,non-linear,non-differentiable and multi-constrained characteristics of economic load distribution problem in power system,intelligent algorithm is used to solve and optimize it.Differential evolutionary algorithm has the advantages of simple structure,easy operation and fast convergence.In view of this,the principle of differential evolution algorithm is analyzed,and the differential evolution algorithm is used to solve the economic load distribution problem of power system.The power output and optimal solution of each unit are obtained,and the convergence curve is obtained.The results show that the differential evolution algorithm has high accuracy and convergence speed in solving the optimization problem of economic load distribution in power system.