一种改进粒子群算法在水轮机控制中的应用

关于水轮发电机控制系统优化问题,水轮发电机组的控制技术对于水轮发电机组稳定工作非常重要。针对保证供电质量,改善调节系统的非线性时滞特性,利用具有局部搜索能力的粒子群算法对水轮发电机组进行模糊PID控制可以确保控制的稳定性。首先,根据水轮发电机组的控制原理和模糊PID控制器的基本结构,提出具有局部搜索能力的改进粒子群算法,利用模糊PID控制器以及采用了改进粒子群算法的模糊PID控制器,用MATLAB软件对水轮发电机组进行优化控制仿真,仿真结果表明采用改进粒子群算法的模糊PID控制器具有最优的控制效果。

Application of Improved Particle Swarm Algorithm on Controlling of Water Turbine Generator

Hydro-generating unit’s control technology is very important for hydro-generating unit stability.In order to ensure the quality of power supply,improve the nonlinear and time-delay of the control system,we made use of the local search ability of PSO to carry out Fuzzy PID control for hydro-generating unit to ensure the control stability.First,according to the control principle of hydro-generating unit and the basic structure of fuzzy PID controller,the particle swarm algorithm with the local search ability was proposed.With the Fuzzy PID controller and the improved fuzzy PID controller using particle swarm algorithm,MATLAB software was used to simulate and optimize the turbine generator set control.Simulation results show that the improved fuzzy PID controller based on particle swarm algorithm has better optimal control effect.