摘要
首先建立水轮机导叶关闭规律优化计算的数学模型,然后将自适应遗传算法和水电站过渡过程数值计算特征线法相结合,建立一种用于求解该模型的全局优化方法。该自适应遗传算法采用实数编码,并根据个体适应度不同对交叉概率和变异概率进行自适应调整,使群体中的优良个体不易被破坏,同时又保证了种群个体的多样性,从而提高了算法的优化效率。工程实例计算表明,应用自适应遗传算法优化水轮机导叶关闭规律是可行、高效的。
A mathematical model of the optimization of wicket closure rule in hydraulic turbine is established. Based on the combination of adaptive genetic algorithm and method of characteristics for numerical analysis in transient, an effective global optimization method is proposed to optimize wicket operation rule. The adaptive genetic algorithm is based on decimal system, it can be adaptively adjusted crossover probability and mutation probability according to the value of individual fitness. The fine individual in current generation is easier to survive in the offspring, and the variety of population is also guaranteed. Consequently the searching efficiency of the method is improved. The feasibility and efficiency of the proposed method are finally demonstrated with transient process analysis of a real hydropower station case.
出处
《大电机技术》
北大核心
2007年第5期32-36,共5页
Large Electric Machine and Hydraulic Turbine
关键词
水电站过渡过程
导叶关闭规律
优化计算
自适应遗传算法
transient process of hydropower station
closure rule of wicket
optimization comoutation
adaotive genetic algorithm
