Planar Clouds Based Load Frequency Control in Interconnected Power System With Renewable Energy

In order to effectively improve the penetration of renewable energy resources, this paper proposes a PI control method by using planar clouds and presents an intelligent adjusting strategy for an interconnected power system which includes renewable energy generations. In this method, the deviation and its rate of change are taken as the front part of cloud generator while the consequent part is composed of the variation of PI parameters. And then, the clouds reasoning rules are made based on the uncertainty of statistical distribution and contribute to the design of the cloud controller. On the MATLAB platform, the proposed PI controller is compared with the traditional PI controller under different load disturbances. Simulation results show that planar clouds PI controller can meet the requirement of load frequency control, which is more robust and also shows better dynamic and static performance.