Study on PI Parameters Dynamic Tuning Based on Ant Colony Algorithm for Doubly-fed Wind Turbines
نویسندگان
چکیده
For the shortcoming that the PI controller parameters can’t been dynamic tuning in constant voltage control system of doubly-fed wind turbines, a PI controller parameters dynamic tuning strategy based on the ant colony optimization (ACO) algorithm is presented. This strategy makes the two parameters in PI controller as the ant of the ant colony, the controlled absolute error integral function that between terminal voltage actual value and its reference value for doubly-fed wind turbines is selected as the optimization objective, the PI controller parameters dynamically is adjusted in the control process. When the wind speed changes and the grid voltage drops, the dynamic and non-dynamic parameter tuning methods are compared and analyzed. The simulation results show that the constant voltage control system using the PI controller parameters tuning strategy based on the ant colony optimization algorithm is superior to non-dynamic tuning method on the stability and response time of system.
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