基于ANN和ES的区域电网电压无功优化集中控制系统

【作者】 何宏伟；

【导师】 丁晓群；

【作者基本信息】 河海大学 ， 电力系统及其自动化， 2001， 硕士

【摘要】 电压是电能质量的重要指标之一，网损是电力企业的一项重要综合性技术经济指标。长期以来电力系统网络损耗问题较为突出，而无功补偿是降低线损的有效手段。提高电压质量，降损节能是供电企业当前的工作重点。论文针对我国地区电网的状况和特点，对区域电网电压无功优化集中自动控制进行了一定的探索。论文介绍了电网主要的补偿装置和各自的作用，对变电站电压无功控制的模型和控制规律进行了分析，提出了用神经网络实现的单变电站电压无功优化控制方法。然后研究了利用单变电站电压无功控制神经网络的输出结果，实现分区分层的多变电所电压无功的协调控制的专家系统的设计思想、知识工程的构成。最后介绍了河海大学电气工程学院和泰州供电局联合开发的地区电网无功电压优化运行集中自动控制系统。更多还原

【Abstract】 Voltage is one of important quality index of electric power. Power loss is an important synthesis technical and economic index of power companies. In the past several years, the problem of power loss is very serious. However, reactive compensation is an effective method to save power loss. Currently, improving voltage quality and saving power loss have been job emphasis of power companies. Reactive power/voltage control in region network is researched in this paper. The characteristics of compensation devices are introduced. Reactive power/voltage control models and rules of substation are analyzed, and an optimal method based on artificial neural network is mentioned. Design idea and knowledge constitute of a multi substations reactive power /voltage coordination control expert system which make use of results of single substation reactive power /voltage control neural networks are presented. At end of the paper a region real time reactive power/voltage concentrate automation control system is introduced.更多还原