Research on Optimal Load Distribution of Power Plants Based on Chaos Genetic Algorithm

Abstract

According to the structural characteristics of chaotic motion, chaotic variables are introduced into the genetic algorithm optimization process, so that the values of the two are mapped to each other, and the group that adds chaotic disturbances is selected according to the fitness level, and the guidance of mutation operation is increased. Chaos is proposed Genetic algorithm. This improved algorithm is applied to the optimal distribution of plant-level load in power plants, and the coal consumption of thermal power plants is verified by simulation experiments. The results show that this algorithm can obtain better optimization results in the plant-level load optimization distribution problem, allowing the power plant to obtain better economy.