Title :
Economic dispatch for wind farm using model predictive control method
Author :
Yonghao Gui ; Chunghun Kim ; Chung Choo Chung
Author_Institution :
Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
Abstract :
An economic dispatch (ED) problem of committed turbines is solved minimizing each wind turbine´s output power variation by model predictive control (MPC) method. The proposed method could solve the ED problem on-line using prediction time horizon that could be selected flexibly considering time horizon based on wind forecasting errors. Dispatched wind turbines are classified into three groups considering variations of forecasted power generation: maximum power point tracking, balance control, and delta control. From the simulation study using 10 wind turbines we observed that the proposed method effectively provided the optimal solution to the scenario.
Keywords :
load forecasting; minimisation; power generation dispatch; predictive control; wind power plants; wind turbines; ED problem; balance control; committed turbines; delta control; dispatched wind turbine classification; economic dispatch problem; maximum power point tracking; model predictive control method; power generation forecasting; prediction time horizon; wind forecasting errors; wind turbine output power variation minimization; Gold; Indexes; Turbines; Wind farms; Economic dispatch; model predictive control; optimal; wind farm; wind turbine;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
Print_ISBN :
978-89-93215-05-2
DOI :
10.1109/ICCAS.2013.6704239