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电力系统低频减载优化整定是一个多变量、多约束的混合非线性规划问题,其优化过程十分复杂。遗传算法是一种基于自然选择和遗传机制的搜索算法,比较适合于求解电力系统低频减载问题。本文研究了遗传算法应用于低频减载求解的运算流程,并且在结合低频减载问题自身特点的基础上对遗传算法应用于低频减载求解进行了研究改进,给出了包括编码方案、交叉算子、变异算子和收敛判据的改进遗传算法的实现方案。
Optimization of low frequency load shedding in power system is a multivariable and multi-constrained mixed nonlinear programming problem, whose optimization process is very complicated. Genetic algorithm is a search algorithm based on natural selection and genetic mechanism, which is more suitable for solving low frequency load shedding in power system. In this paper, we study the computational process of applying genetic algorithm to low-frequency load shedding. Based on the characteristics of low-frequency load shedding, we apply the genetic algorithm to solve the low-frequency load shedding. Sub - mutation operator and convergence criterion of the improved genetic algorithm to achieve the program.