DocumentCode :
75311
Title :
A Robust Wind Power Optimization Method for Look-Ahead Power Dispatch
Author :
Wenchuan Wu ; Jianhua Chen ; Boming Zhang ; Hongbin Sun
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Volume :
5
Issue :
2
fYear :
2014
fDate :
Apr-14
Firstpage :
507
Lastpage :
515
Abstract :
The main purpose of the look-ahead dispatch is to manage operational uncertainties over the next several hours, with benefits for the exploitation of renewable energy resources. This paper describes a robust optimization (RO) model for wind power look-ahead dispatch. The model calculates allowable interval solutions for wind power generation and provides optimal economic solutions for conventional power generation to mitigate the uncertainty inherent to wind power. By introducing the interval values as control targets for wind farms, the method can reduce the curtailment of wind power and the frequency of regulation. Interval wind power look-ahead dispatch is a two-layer RO problem, which can be transformed into a quadratic programming problem using strong duality theory, allowing for a more straightforward solution. The results of numerical simulations using the IEEE RTS system, as well as field tests using a 1.8-GW transmission system, are reported.
Keywords :
duality (mathematics); numerical analysis; optimisation; power generation dispatch; renewable energy sources; wind power plants; IEEE RTS system; duality theory; look-ahead power dispatch; numerical simulations; operational uncertainty; optimal economic solutions; quadratic programming; renewable energy resources; robust optimization; robust wind power optimization; transmission system; wind farms; wind power generation; Optimization; Robustness; Schedules; Uncertainty; Wind farms; Wind power generation; Dynamic economic dispatch; robust optimization (RO); wind power dispatch;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2013.2294467
Filename :
6722890
Link To Document :
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