The Application Of Power Plant Superheated Steam Temperature Control System Based On Improved Ant Colony Optimization

In modern thermal power plant, Superheated steamer of main steam control system of unit work in high temperature and high pressure. Stability of superheated steam temperature is very important to security and economy of unit operation. Therefore,It is very strict to the control of main steam temperamre , we need to get a reasonable and effective control in the themal power plant.The conventional PID control take a dominate position in the main steam temperature control of power plant .But sometimes,PID control can not offer good effect because the main steam temperature object has a large inertia,the nonlinear and time-varying. Ant colony algorithm is a novel category of bionic meta-heuristic algorithm and parallel computation and positive feedback mechanism are adopted in this algorithm. The ant colony algorithm has strong robustness and easy to combine with other methods in optimization.In this paper we use an improved ant colony algorithm to optimization the PID parameters.This paper introduces the principle of ant colony algorithm,its model and advantages and disadvantages.We propose an improved ant colony algorithm aiming at ant colony algorithm convergence and later slow convergence speed. First using genetic algorithm to get a set of optimal solution, then reuse of GA variation mechanism to crossover and mutation the solution,to increase the population diversity in order to make variation particles in other areas of the solution space search and find better global solution .This paper presents an improved ant colony algorithm, by introducing the mechanism of search direction and improving the pheromone updating rules.This paper achieved the application of improved ant colony algorithm in solving TSP discrete domain in Matlab compile environment,the results show that compare to the basic ant colony algorithm and GA,the improved ant colony algorithm can get better effect.In continuous domain optimization ,the improved algorithm can also get better effect.It shows good robustness.Finally based on superheated steam temperature cascade control system,use improved algorithm to optimization the PID parameters ,it achieves excellent control quality and strong robustness.