Research And Application Of1000MW Ultra-Supercrifical Unit Coordinated Control System

As energy issues have becoming increasingly prominent and energy conservation has also been more and more attention. The thermal power plant with large capacity and high parameters will become the mainstream by taking into account the characteristics of china’s power structure. With the new energy power generation may cause peak fluctuations to power grid, the large thermal power plant need to be better controlled to provide high quality power to make up for the bad influence. But the plant may show strong coupling and strong nonlinearity, which is bad for control, as increasing its capacity. If we can analysis the units’ nonlinearity and then design a safe, efficient control scheme, which will have a significant to improve the planet’s economic indicators.This paper focuses on the nonlinear analysis and design controller for Ultra-supercritical unit coordinated control system. Firstly, a1000MW Ultra-Supercritical unit model,which is good for controller design, is gained by mechanism modeling method, the parameters are obtained by identify with historical operating data of JianBi power plant1000MW Ultra-Supercritical13unit. After that, the concept of the gap metric is introduced to analysis the model’s nonlinearity, and we get the following conclusion:the nonlinear effects of electric output, temperature and stream pressure become weak in turn. In order to achieve fast tracking tasks while the unit is running in a wide range of variable load, this paper gives a looping-shaping Hoo approaching based on Hoo control theory. Then a genetic looping-shaping Hoo approaching is put forward to solve the difficulty in design the parameters of pre compensator.In order to solve the issue about the application of the Hoo controller, which order is too high to use, the robust PID controller can be computed based on the Hoo controller. Then we get sever robust PID controllers for linearized models under sever typical operating points. At last, this paper puts forward a fuzzy multi supervisory control method. Three sets of tracking experiment are made and the results show that the fuzzy multi supervisory control method fast tracking tasks while the unit is running in a wide range of variable load.