access icon free Neural network model predictive control optimisation for large wind turbines

© The Institution of Engineering and Technology
Received 08/12/2016, Accepted 06/06/2017, Revised 09/05/2017, Published 08/06/2017

Energy poverty limits the economy and social development throughout the world. Wind turbine reduces the energy costs and facilitates the development of renewable energy industry, which provides an effective solution to energy crisis and environment pollution and develops rapidly in recently years. In this paper, a radial basis function neural network (RBFNN) optimisation model predictive control (MPC) was proposed for large wind turbines. In accordance with the complexity and uncertainty of wind turbine operation, a linear model based on the blade element momentum theory was established and the influencing factors of the proposed model were evaluated. The MPC taking into full account three degrees of freedom control multivariate was enforced by RBFNN prediction model, which meets the requirements of specified operation region. Additionally, the RBFNN prediction model with the memory of complicated rules and changed trend was trained by a great deal of historical data. The RBFNN in combination with MPC solves global optimisation problems and improves the dynamic performance of system. Simulation results for three-bladed 5 MW onshore wind turbine verified the effectiveness of the proposed method and confirmed the fact that the fatigue loads were significantly reduced in the turbine tower.

Inspec keywords: power generation control; predictive control; optimisation; wind turbines; neurocontrollers; uncertain systems

Other keywords: three-bladed onshore wind turbine; uncertainty; dynamic performance; blade element momentum theory; energy poverty; global optimisation problems; radial basis function neural network; MPC; degrees of freedom; RBFNN; renewable energy industry; power 5 MW; neural network model predictive control optimisation

Subjects: Neurocontrol; Control of electric power systems; Other topics in statistics; Other topics in statistics; Optimisation techniques; Optimisation techniques; Optimal control; Wind power plants

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