电厂侧自动电压控制系统研究及应用  

Research and Application of Automatic Voltage Control of Power Plant Side

作　　者：郝飞[1] 黄凯[1] 刘吉臻[2] 顾全[1] 

机构地区：[1]南瑞继保电气有限公司,江苏南京211100 [2]华北电力大学,北京102206

出　　处：《现代电力》2009年第6期62-65,共4页Modern Electric Power

摘　　要：为提高电厂侧自动电压控制系统(AVC)的调节性能和跟踪效果,结合现场实际调试经验,提出AVC控制技术和手段的改进方法。首先针对电厂AVC控制问题,建立逐步逼近的数学模型,保证电压和无功调节方向的一致性;然后采用自学习的方法对系统阻抗进行辨识,并对结果进行工程化的处理,简化辨识过程的同时提高其准确性;最后在对机端电压越限处理上,引入预测和动态死区相结合的方法,从而形成一个动态的边界,在保证发电机运行安全的同时,大大改善了对母线电压的跟踪效果。该方法已在基于SCADA/EMS一体化平台的RCS-9001发电厂网络控制系统中得到实际应用,效果良好。In order to improve the regulation performance and tracking effects of the automatic voltage control system （AVC） of the power plant side, some improvement control technologies and means are proposed by combining with onsite practical experience. A successive approximation mathe- matical model is built to guarantee the consistency of the voltage and reactive power regulation direction. The self- learning identification method is used for the impedance of the system, and the engineering approach is adopted to the results, which can simplify the identification and improve its accuracy. The method of prediction and a dynamic dead zone are introduced to deal with more limited terminal voltage of machine to form a dynamic boundary. The safe operation of generators is ensured, and the bus voltage tracking results is improved greatly. The practical application of the RCS- 9001 power plant net control system based on the SCADA / EMS integration platform proves that these methods are effective.

关 键 词：自动电压无功控制 系统阻抗 励磁系统 自学习辨识 机端电压 

分 类 号：TM761.1[电气工程—电力系统及自动化]