DocumentCode
669673
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
fYear
2013
fDate
20-23 Oct. 2013
Firstpage
1836
Lastpage
1839
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location
Gwangju
ISSN
2093-7121
Print_ISBN
978-89-93215-05-2
Type
conf
DOI
10.1109/ICCAS.2013.6704239
Filename
6704239
Link To Document