@inproceedings{bd121d9560fc498bb879d18122e1ecf0,
title = "Economic dispatch for wind farm using model predictive control method",
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 = "Economic dispatch, model predictive control, optimal, wind farm, wind turbine",
author = "Yonghao Gui and Chunghun Kim and Chung, {Chung Choo}",
year = "2013",
doi = "10.1109/ICCAS.2013.6704239",
language = "English",
isbn = "9788993215052",
series = "International Conference on Control, Automation and Systems",
pages = "1836--1839",
booktitle = "ICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems",
note = "2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 ; Conference date: 20-10-2013 Through 23-10-2013",
}
