Fuzzy Controller of Rotation Angle of Blades of Horizontal-Axial Wind Power Generation Plant

Currently, power generation industry transition to a new technological platform is underway. The platform is based on the smart grids concept. It provides for a broader use of the distributed generation plants that use such renewable energy sources as wind power generation plants. The distributed generation plants can be operated in the existing grids or be combined into microgrids to enhance consumers power supply reliability. Efficiency of wind power generators in microgrids can be raised using automatic control systems. However, when solving issues of wind power generators modes control, problems arise that cannot be resolved by traditional methods. A wind power generation plant is a non-linear and non-stationary facility for which fuzzy controllers can be used. Currently, there is no unified technique for tuning such controllers. This article deals with simulation and tuning of the fuzzy control system for horizontal-axial slow-speed wind power generation plant that can be operated both independently for a selected load and in the microgrid. Simulation results in MATLAB system show that fuzzy power control of the wind power generation plant allows its operation stability at variation of consumer loads. A rule database has been generated based on the suggested tuning technique that ensures wind power generator effective work both in independent mode and in the microgrids designed to enhance power supply reliability of railroad transport consumers.