粒子群优化算法的PID控制在最大风能捕获系统中的应用

Application of PID Control of Particle Swarm Optimization Algorithm in System of Maximum Wind Energy Extraction

在永磁同步风力发电系统中,传统的PID算法广泛应用在浆距角控制及最大风能捕获系统中,但由于自然环境和运行效率等因素的影响,系统中容易出现积分饱和现象.因此,针对传统的PID整定算法,提出一种将粒子群收缩优化算法(PSO)与传统PID算法相结合的防积分饱和算法,并将这种算法应用在最大风能跟踪捕获系统下的浆距角控制中.在PSCAD/EMTDC仿真软件的基础上,搭建系统平台,通过对仿真结果的分析,得出两种算法相结合的优越性,同时系统的抗扰动及鲁棒性也得到增强.

In the system of permanent magnet synchronous wind power,the traditional PID algorithm is widely used in Angle control and the maximum wind power capture system, but due to the influence of the natural environment and efficiency, it＇s prone to integral saturation phenomenon. So this paper directed to- wards the traditional PID setting algorithm, put forward a algorithm which connected the particle swarm optimization algorithm （PSO） and the traditional PID algorithm, then the algorithm of the application would be from the Angle control and the maximum wind tracking capture. On the basis of PSCAD/EMT- DC simulation software, this paper built system platform, and through the analysis of simulation results we got the advantages of combining algorithm,and at the same time,disturbance and robustness of the system had also been enhanced.