Risk-constrained bidding strategy for wind power producer in day-ahead and balancing markets
Joint Authors
Askari, Muhammad Tulu
Reyasudin, M.
Khan, Basir
Pasupuleti, Jagadeesh
Tahmasebi, Mehrdad
Source
Issue
Vol. 14, Issue 4 (31 Dec. 2018), pp.34-47, 14 p.
Publisher
Publication Date
2018-12-31
Country of Publication
Algeria
No. of Pages
14
Main Subjects
Earth Sciences, Water and Environment
Electronic engineering
Topics
Abstract EN
Participation of wind power producer in competitive electricity markets face to numerous challenges is caused by wind power and electricity price uncertainties.
For overcome to this challenges the risk-constrained optimal bidding strategy for wind power producer in the short term electricity markets is proposed in this paper.
The proposed mathematical model has been solved and optimized based on the stochastic programming method in General Algebraic Modeling System (GAMS) software environment.
The comparative results of the three cases of various risk penalty factor, have been shown with the increase of the risk penalty factor, the amount of power bidding in day-ahead electricity market and expected profit decreased.
Also, positive imbalance and CVaR are increased.
American Psychological Association (APA)
Tahmasebi, Mehrdad& Pasupuleti, Jagadeesh& Askari, Muhammad Tulu& Reyasudin, M.& Khan, Basir. 2018. Risk-constrained bidding strategy for wind power producer in day-ahead and balancing markets. Journal of Electrical Systems،Vol. 14, no. 4, pp.34-47.
https://search.emarefa.net/detail/BIM-833591
Modern Language Association (MLA)
Tahmasebi, Mehrdad…[et al.]. Risk-constrained bidding strategy for wind power producer in day-ahead and balancing markets. Journal of Electrical Systems Vol. 14, no. 4 (2018), pp.34-47.
https://search.emarefa.net/detail/BIM-833591
American Medical Association (AMA)
Tahmasebi, Mehrdad& Pasupuleti, Jagadeesh& Askari, Muhammad Tulu& Reyasudin, M.& Khan, Basir. Risk-constrained bidding strategy for wind power producer in day-ahead and balancing markets. Journal of Electrical Systems. 2018. Vol. 14, no. 4, pp.34-47.
https://search.emarefa.net/detail/BIM-833591
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 46-47
Record ID
BIM-833591