基于模糊理论和PID算法的电力系统控制方法

Power System Control Method Based on Fuzzy Theory and PID Algorithm

电力系统是一种强时滞系统,工作过程非常复杂,单纯使用模糊理论或者PID算法均不能高精度控制电力系统。为了改善电力系统的控制效果,提高电力系统控制精度,提出了模糊理论和PID算法相结合的电力系统控制方法。首先回顾电力系统控制的研究进展,找到各种电力系统控制方法的不足;然后采用模糊理论对PID算法的参数进行优化,并根据优化结果对电力系统进行控制;最后进行了电力系统控制仿真对比测试。结果表明,所提出的方法不仅克服了当前电力系统控制方法存在的局限性,提高了电力系统控制精度,而且加快了电力系统控制速度,获得了理想的电力系统控制结果。

The power system is a strong time-delay system,the working process is very complicated.Simply using fuzzy theory or PID algorithm cannot control the power system with high precision.In order to improve the control effect of the power system and improve the control accuracy of the power system,a power system control method combining fuzzy theory and PID algorithm is proposed.Firstly,the research progress of power system control is reviewed,and the shortcomings of various power system control methods are analyzed.Then,fuzzy theory is used to optimize the parameters of the PID algorithm,and the power system is controlled according to the optimization results.Finally,the power system control simulation comparison test is carried out.The results show that the proposed method not only overcomes the limitations of current power system control methods,improves the control accuracy of the power system,but also speeds up the power system control speed and obtains ideal power system control results.