DocumentCode
648471
Title
Model predictive control in dynamic economic dispatch using Weibull distribution
Author
Chunghun Kim ; Yonghao Gui ; Chung Choo Chung ; Yong-Cheol Kang
Author_Institution
Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
This paper develops dynamic economic dispatch (DED) using model predictive control (MPC) based on Weibull probabilistic distribution function (PDF). Firstly we performed economic dispatch (ED) based onWeibull PDF.We considered the probabilistic cost about over-estimated and under-estimated cost of wind power by using Weibull PDF. Secondly we implemented DED formulated in a MPC framework using the maximum wind power capability from the ED results since ED does not consider the ramp rate constraint. By using dispatch error cost, we could consider the current status of reliable generation by using the proposed MPC method. It turns out that the DED using MPC method is very effective in coping with intermittent resource such as wind variability.
Keywords
Weibull distribution; power generation control; power generation dispatch; power generation economics; predictive control; MPC framework; Weibull probabilistic distribution function; dispatch error cost; dynamic economic dispatch; intermittent resource; maximum wind power capability; model predictive control; over-estimated cost; probabilistic cost; ramp rate constraint; under-estimated cost; wind variability; Economics; Generators; Power system reliability; Predictive control; Reliability; Wind power generation; Wind speed; economic dispatch; expectation value; forecasting error; model predictive control; ramp rate capability;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6673054
Filename
6673054
Link To Document