The Parameter Optimization Of Bulb Turbine Governing System Based On Ant Colony Algorithm

Now the usage of energy is very essential for every country, it has become an important factor of the evaluation of its economic development. Since the reform and opening up, after more than 30 years development, our country’s development of water resources has been at the forefront of the world. As the major high head water resources development in our country has reached a high proportion, the development of low-head resources becomes more and more important. Development of low-head plants show the most economical model is Tubular Turbine.This paper firstly introduces the development situation, advantages and speciality of bulb turbine units, analyzes the components of the Bulb Tubular Turbine regulation system, each module are introduced, the whole control system model is established, using Matlab to build the linearization model of bulb turbine regulating system under the small fluctuation.Then the turbine governor control technology is introduced, through the analysis of conventional PID control, we can found that the lack of its control. The introduction of intelligent algorithms to optimize conventional PID control has become a trend in the development of turbine regulator control technology. In this paper, ant colony algorithm is used to optimize conventional PID, introduces the basic principles of ant colony algorithm, described how to use ant colony algorithm to optimize PID control parameters in detail.Finally, it have a simulation on bulb turbine in a hydropower station, through the comparative analysis between the conventional PID controller and PID controller based on ant colony algorithm optimization under the small fluctuation shows that the PID controller based on ant colony algorithm optimization has a smaller system overshoot and adjustment time is shorter, indicating that the optimization of the hydraulic turbine PID governor parameters based on ant colony algorithm in is effective.