A Cooperative Control Strategy against Cyber-attacks for Power System with High Penetration Wind Farm

Kai Yang, Jian Li, Guangdou Zhang, Y. Xing, Olusola Bamisile, Qiyuan Huang
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Abstract

High-proportion renewable energy and cyber-attacks bring multiple uncertainties into the modern power system. Both the uncertainties and load disturbance can cause a frequency fluctuation. To deal with this problem, a frequency cooperative control strategy is proposed in this paper. The proposed cooperative control scheme consists of a PI controller for thermal generators and a PID compensation controller for wind farms. The parameters of the proposed controllers are calculated by the Particle Swarm Optimization (PSO) algorithm. The comparison simulation on the power system with wind farms and cyber-attacks illustrates that the proposed controller can effectively decrease the frequency oscillation.
高渗透风电场电力系统抗网络攻击的协同控制策略
高比例的可再生能源和网络攻击给现代电力系统带来了多重不确定性。不确定性和负载扰动都会引起频率波动。针对这一问题,本文提出了一种频率协同控制策略。所提出的协同控制方案由热电机组的PI控制器和风电场的PID补偿控制器组成。采用粒子群优化(PSO)算法计算控制器的参数。对有风电场和网络攻击的电力系统进行了对比仿真,结果表明该控制器能有效地减小系统的频率振荡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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