Predictive control of variable speed wind energy conversion chain-based multilevel converters with balanced voltages

The paper presents an improved predictive rotor current control of variable speed wind energy conversion system based doubly fed induction generator. The method is based on finite states space model of the converter. The proposed control selects the optimal switching state that minimises the error between orthogonal rotor current components predictions to their computed values. Then, the optimal voltage is applied to the output of the power converter. Once the proposed predictive strategy is validated, multilevel converters, well suited for high power-medium voltage application are used to improve and highlight the obtained results in term of low ripples, high efficiency and low harmonics. One of the most benefits of the proposed control is its flexibility, so more terms can be added in the cost function to satisfy multiple objectives simultaneously. The superiority of the proposed predictive control over the conventional control will be investigated and confirmed by simulation results.

• predictive control
• variable speed wind energy conversion
• multilevel converters
• doubly fed induction generator
• rotor current control
• voltage balancing
• cost function minimization
• harmonic compensation

• 7 — Affordable and clean energy
• 9 — Industry, innovation and infrastructure

• Multilevel Inverters and Converters
• Wind Turbine Control Systems
• Sensorless Control of Electric Motors
• predictive control
• variable speed wind energy conversion
• multilevel converters
• doubly fed induction generator
• rotor current control
• voltage balancing
• cost function minimization
• harmonic compensation
• Electrical and Electronic Engineering
• Engineering