Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Economic dispatch for wind farm using model predictive control method

Authors
Gui, YonghaoKim, ChunghunChung, Chung Choo
Issue Date
Jan-2014
Publisher
IEEE
Keywords
Economic dispatch; model predictive control; optimal; wind farm; wind turbine
Citation
International Conference on Control, Automation and Systems, pp.1836 - 1839
Indexed
SCOPUS
Journal Title
International Conference on Control, Automation and Systems
Start Page
1836
End Page
1839
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/160869
DOI
10.1109/ICCAS.2013.6704239
ISSN
1598-7833
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.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 전기공학전공 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Chung, Chung Choo photo

Chung, Chung Choo
COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE