Pitch Angle Optimization by Intelligent Adjusting the Gains of a PI Controller for Small Wind Turbines in Areas with Drastic Wind Speed Changes

Abstract

The population growth demands a greater generation of energy, an alternative is the use of small wind turbines, however, obtaining maximum wind power becomes the main challenge when there are drastic changes in wind speed. The angle of the blades rotates around its longitudinal axis to control the effect of the wind on the rotation of the turbine, a proportional-integral controller (PI) for this angle achieves stability and precision in a stable state but is not functional with severe alterations in wind speed, a different response time is necessary in both cases. This article proposes a novel pitch angle controller based on auto-tuning of PI gains, for which it uses a teaching–learning based optimization (TLBO) algorithm. The wind speed and the value of the magnitude of the change are used by the algorithm to determine the appropriate PI gains at different wind speeds, so it can adapt to any sudden change in wind speed. The effectiveness of the proposed method is verified by experimental results for a 14 KW permanent magnet synchronous generator (PMSG) wind turbine located at the Universidad Autónoma de Querétaro (UAQ), Mexico.

Comparative Study between Flatness-Based and Field-Oriented Control Methods of a Grid-Connected Wind Energy Conversion System

“…In this paper, a simple common model is presented for the wind turbine. The aerodynamic power converted by the wind turbine depends on the power coefficient C p , as presented in Equation (1) [29].…”

Wind Power System for Grid-connection Based on PMSG and PI Controlling under Variable Wind Speed

“…The wind turbine converts wind energy into mechanical energy and supplies it to the generator to generate electricity through the drive train. The electric energy then goes through the rectifier, inverter, filter and other converter devices supplemented with the PI adjusting module to match the frequency, phase and power quality of the power grid, and finally achieve the grid-connection [7].…”

Perbandingan Metode Optimasi Non-Linear Partical Swarm Optimization (PSO) Dengan Metode Interior Point Untuk Optimasi Daya Pada Turbin Angin Dengan Menentukan Nilai Optimum Pitch Angle

“…Untuk mengetahui posisi penghematan turbin yang paling optimal digunakan metode optimasi agar kecepatan angin dari turbin angin dapat dimaksimalkan walaupun sebelumnya angin telah melewati turbin lainnya. Parameter yang dioptimalkan pada penelitian ini adalah pitch angle dari sebuah turbin angin [4], [5].…”