摘要
近年来,随着人工智能控制理论的不断发展,以模糊技术、人工神经网络和遗传算法为代表的智能控制方法在电力系统领域得到了广泛的应用。本文分别从短期负荷预测的人工神经网络建模与求解、无功优化的遗传算法建模与求解流程,以及发电机电压模糊控制方法下的建模与控制规则三个方面对人工智能控制在电力系统的应用进行了探讨。
In recent years,with the development of artificial intelligence control theory,the intelligence control method has been widely used in power system represented by fuzzy technology,artificial neural networks and genetic algorithm.This paper studies the application of artificial intelligence control in power system from three respects: modeling,solution of artificial neural networks of short-term load forecasting;modeling,solution of genetic algorithm of reactive power optimization and modeling,control of voltage fuzzy control of generators.
出处
《山东电力高等专科学校学报》
2010年第4期4-8,共5页
Journal of Shandong Electric Power College
关键词
电力系统
神经网络
遗传算法
模糊逻辑
power system
neural networks
genetical gorithm
uzzylogic