基于遗传算法的电力系统无功优化

Study on the reactive power optimization of power system based on genetic algorithm

电力系统无功优化问题可归结为求解离散型控制变量和连续型控制变量共存的非线性规划的数学问题。本文将连续型控制变量按一定精度离散化,使问题转化为只含离散型控制变量,从而建立一种新的无功优化的数学模型,并利用遗传算法对该模型进行求解。以IEEE六节点系统为例,介绍了其数学模型的建立和遗传算法求解的方法,并给出了求解过程的程序框图。

The reactive power optimization of power system can be boiled down to the mathematical problem of non - linear programming with the mixture of discrete and continuous control variables. The continuous control variables will be converted into discrete ones according to some certain accuracy and the problem will be simplified. A new mathematical model of reactive power optimization can be formed based on the above simplification and the model can be solved through the use of genetic algorithm in this paper. As an example, the mathematical model of reactive power optimization for the IEEE 6 nodes system is built, the method of utilizing the genetic algorithm is presented and the program flow chart is put forward.