Chaos Particle Swarm Algorithm Based Optimal Speed Control System For Synchronous Generator

With the expansion of power system scale, it becomes more and more important to keep power system's reliability and stability, as well as super performance and dynamic quality. Synchronous generator governor is an important part of power system operation. It is designed to reduce frequency pulsation, balance the distribution of active power and steady operation of the system. Synchronous generator governor regulates the mechanical power from prime motor to generator in order to realize the power and frequency adjustment and keep the normal operating frequency. It is important to build a power system with good dynamic quality and stability by using the controlling the governor bell crank properly by the principles of automatic control and operation theory.On the base of the research of synchronous generator governor, this paper firstly established the mathematic model of a double-reheat steam turbine including governor. Then the corresponding synchronous generator state equations including the governor and quick-response excitation can be got. The establishment of the system state equations is the basis of the dynamic emulation experiments of speed control system.Based on the particle swarm theory and characters of the power system, this paper improves the speed control system with chaos particle swarm algorithm. This modified optimization algorithm. The particle swarm algorithm was choose as the main part, and prescribed number steps chaos search was taken on the best particle. The global optimum solution can be got and precision can be improved by using this algorithm. In this paper a new design of speed control system for synchronous generator based on chaos particle swarm algorithm was proposed in this paper and a new speed control system was designed on the basic of chaos particle swarm algorithm,which use chaos particle swarm algorithm for the parameters optimization of it.Simulation of one machine-infinite system is programmed in two different conditions, they are mechanical disturbance and short-circuit fault. Through comparing the frequency of generator which is controlled separately by traditional PID controller, controller based on particle swarm algorithm and controller based on the chaos particle swarm algorithm, the conclusion could be got that the last controller has the advantage as follows: it is independent to the project experience, simple and practical, additional, it can still get a very good output even if the generator operates in the deviating point, that means it has a good robustness.A simple inter-connected system model is established in this paper on the basic of the one machine-infinite system. Through the simulation which inference happens in one scale, the superiority of the controller based on modified particle swarm algorithm is certificated again. Also through the compare of the frequency curve between pre-fault and post-fault, the advantage of the inter-connected system is shown.