基于改进粒子群算法的水轮机调速系统参数优化研究

水轮机调速系统控制效果对于提高水轮发电机组工作效率以及提升电能质量具有非常重要的作用,因此,对其进行有效控制具有非常重要的应用价值,为了能够弥补传统水轮机调速系统控制的缺陷,将改进粒子群算法应用于水轮机调速系统地参数优化。首先,分析了水轮机调速系统的基本原理;其次,分析了水轮发电机组调速系统的模糊PID控制算法;然后,讨论了改进粒子群算法的基本理论,设计了相应的数学模型和算法流程;最后,进行了基于改进粒子群算法的水轮机调速系统的参数优化仿真,仿真结果表明,改进粒子群算法能够有效地提高水轮机调速系统的可靠性。

Research on Parameter Optimization of hydraulic Turbine Governing System Based on Improved Particle Swarm Optimization Algorithm

The hydraulic turbine speed control system for hydroelectric generating units to improve work efficiency and enhance power quality has a very important role,therefore,effective control has very important application value to it,in order to make up for the traditional hydraulic turbine speed control system of the defect,the improved particle swarm optimization algorithm is applied to the hydraulic turbine speed control system parameter optimization.First,analyzes the basic principle of hydraulic turbine governing system;secondly,analyzes the fuzzy PID control algorithm of hydraulic turbine governing system;then,discusses the basic theory of the improved particle swarm algorithm,design the corresponding mathematical model and the algorithm process;finally,optimized simulation of hydraulic turbine governing system based on Improved Particle Swarm Optimization algorithm based on the simulation results show that the improved PSO algorithm can effectively improve the reliability of hydraulic turbine regulating system.