减载风电机组协调控制策略及PI参数优化

Coordinated Control Strategy and PI Parameter Optimization of Load Shedding Wind Turbine

为解决高渗透率风电接入条件下电网稳定问题并提高风电参与系统调频能力,提出中高风速段超速控制和变桨控制协调的减载控制策略,建立超速控制和变桨控制的PI参数优化模型。提出一种改进粒子群优化算法动态优化超速控制和变桨控制PI参数,对粒子群优化算法惯性权重系数进行改进,解决传统粒子群易陷入局部最优的问题,使适应值不同的粒子通过不同步长进行搜索以获取最优解,提高算法精度与收敛速度。利用MATLAB/Simulink进行仿真,仿真结果表明,改进算法动态优化其控制系统PI参数,使风电出力更加平滑,风电场具备了更好的参与系统调频的能力。

In order to solve the problem of grid stability under the condition of high penetration wind power access and improve the ability of wind power participating in system frequency modulation, the coordinated control strategy of over-speed control and pitch control in medium and high wind speed section is proposed, and the proportional integral(PI) parameter optimization model of over-speed control and pitch control is established. This paper proposes an improved particle swarm optimization algorithm to dynamically optimize PI parameters of over-speed control and pitch control. The inertia weight coefficient of particle swarm optimization algorithm is improved to solve the problem that the traditional particle swarm is easy to fall into local optimization. Particles with different adaptive values are allowed to search through different step sizes to obtain the optimal solution, which improves the accuracy and convergence speed of the algorithm. MATLAB/Simulink is used for simulation. The simulation results show that the improved algorithm dynamically optimizes PI parameters of its control system, so that the wind power output is smoother, and the wind farm has a better ability to participate in system frequency modulation.