The present paper proposes an enhanced version of the One Step Ahead control algorithm applied to a wind system. The wind system is considered as an isolate source of power and it is composed of a horizontal-Axis wind-Turbine with pitch variable blades connected to a synchronous generator: consistent mathematical models for the horizontal-Axis wind-Turbine and the synchronous generator will be introduced. The main strength of the One-Step-Ahead control technique is its adaptivity, thus it represents a suitable control strategy. Nevertheless its convergence rate is shown to reduce very quickly. This aspect shows the primary algorithm weakness and is the reason for the proposed enhancement that, whist it allows a good level of algorithm adaptivity, effectively eliminates the local instabilities. Finally, results of control problems will prove the reliability of the suggested enhanced control technique.

Enhanced One Step Ahead Adaptive Control Technique for Wind Turbine-Synchronous Generator System

Lorenzo Dambrosio
2018-01-01

Abstract

The present paper proposes an enhanced version of the One Step Ahead control algorithm applied to a wind system. The wind system is considered as an isolate source of power and it is composed of a horizontal-Axis wind-Turbine with pitch variable blades connected to a synchronous generator: consistent mathematical models for the horizontal-Axis wind-Turbine and the synchronous generator will be introduced. The main strength of the One-Step-Ahead control technique is its adaptivity, thus it represents a suitable control strategy. Nevertheless its convergence rate is shown to reduce very quickly. This aspect shows the primary algorithm weakness and is the reason for the proposed enhancement that, whist it allows a good level of algorithm adaptivity, effectively eliminates the local instabilities. Finally, results of control problems will prove the reliability of the suggested enhanced control technique.
2018
5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
978-1-5386-5065-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/164882
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