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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 effect of AVC, combined with the actual commissioning experience in the field, an improved method of AVC control technology and method is proposed. First of all, aiming at the AVC control problem in power plant, a mathematical model of gradual approximation is established to ensure the consistency of voltage and reactive power regulation direction. Then self-learning method is used to identify the system impedance and process the result to simplify the process of identification And at the same time improve its accuracy. Finally, the method of combining the prediction with the dynamic dead zone is introduced to deal with the terminal voltage over-limit, so as to form a dynamic boundary. While ensuring the safe operation of the generator, the voltage of the busbar is greatly improved. The tracking effect. The method has been put into practical application in the network control system of RCS-9001 power plant based on SCADA / EMS integrated platform and works well.