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A Frequency control method for wind power system based on general energy storage model and particle swarm optimization

机译:一种基于通用能量存储模型和粒子群优化的风电系统的频率控制方法

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摘要

Based on the frequency control of power system with wind turbine, this paper proposed a general model for energy storage system. On this basis, a method of power network frequency control based on particle swarm optimization (PSO) is proposed. By finding the optimal location of the particles, the optimal control parameters for the current grid are obtained. The performance of the proposed approach is tested on the IEEE-39 bus system. Experimental results indicate that the PSO algorithm can provide the optimal PI controller with proportional and integral parameters. The frequency fluctuation which is caused by wind farm can be obviously reduced. And the traditional problem of controller parameters misalignment can be solved.
机译:基于带风力涡轮机的电力系统的冲频控制,本文提出了一种能量存储系统的一般模型。在此基础上,提出了一种基于粒子群优化(PSO)的电力网络频率控制方法。通过找到粒子的最佳位置,获得了电流网格的最佳控制参数。在IEEE-39总线系统上测试了所提出的方法的性能。实验结果表明,PSO算法可以提供比例和积分参数的最优PI控制器。由风电场引起的频率波动明显减少。并且可以解决控制器参数未对准的传统问题。

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