Research on remote diagnosis technology of automatic generation control for thermal power unit in ultra-high voltage receiving-end grid

Author(s):  
Gao Song ◽  
Zhao Yan ◽  
Bi Zhenfu ◽  
Lang Chengyu ◽  
Meng Xiangrong

In this paper Automatic Generation Control (AGC) of a single-area thermal power plant without reheat turbine is introduced using a Proportional Integral Derivative (PID) controller. The gains of the controller are optimized using Genetic Algorithm (GA). The problem of tuning the PID controller is formulated as optimization problem with constraints on proportional, derivative and integral gains. The proposed algorithm uses Darwin’s law of natural selection and survival of the fittest to reach the optimal solution. The simulation results confirm the system’s ability to retain frequency while handling sudden load disturbances. The second part of the investigation includes robustness testing of the system against plant parameter variations. The results are verified and the system performance is found to be robust against parameter uncertainties


2012 ◽  
Vol 232 ◽  
pp. 775-779
Author(s):  
Jun Li ◽  
Wei Wei Li ◽  
De Kuan Zhang

The general information and features of supercritical unit are illustrated. According to the engineering application situation, by comparing two feedforward methods, the new method application effect than classic control method, the response of unit’s load is much faster than before. It’s benefit to Automatic Generation Control (AGC). It’s hoped that the analysis and optimization can provide useful experience and lessons for the design of the supercritical boiler control to some extent.


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