Bulb hydraulic generating units are on the rise steadily in recent years, exploiting a new way to accelerating development of low water-head power station in our country. From the running conditions of commissioning bulb hydraulic units, we know that these systems have bad stabilities comparatively, they are difficult to be in stability in isolated power network with more than 40 percent load. The reason of this case is that bulb turbine units have features of low working head, large relative change of working head and great fluctuation of the active power exported by the generator. So, new parameter adjusters with self-adaptive characteristic have to be introduced as well to get stable operation or good dynamic response.With the further development of intelligent control, combining kinds of control methods get more concern, especially combine cooperative evolutionary algorithm with Fuzzy-PID controller, it is becoming more and more popular for its simple algorithm, strong robustness and good performance. Therefore, bulb turbine unite was took as controlled objects in this paper to have a research about the application of fuzzy genetic algorithm on governing system of bulb turbine unite.First, a brief introduction to application development tubular turbine unite was given, and analyses the particularity of regulating of bulb turbine unite. Second, establish the mathematical model after analyzing each constitute of bulb turbine units in detail. Then, aim at the particularity of bulb turbine unite ,the Fuzzy — PID controller based on cooperative co-evolutionary genetic algorithm is proposed and have a simulation on bulb turbine in Baigou power station. The simulation results show that this method does not depend on the initial values of parameters and the optimal search efficiency is better than conventional PID.At last, summary the work of this paper, point out the shortage of this paper and the more research for requirement. |