DocumentCode
2117322
Title
Bidding Strategy for Day-Ahead and Real-Time Markets Based on Newsvendor Method in Electricity Markets
Author
Wan, Zhongping ; Fan, Heng
Author_Institution
Sch. of Math. & Stat., Wuhan Univ., Wuhan, China
Volume
2
fYear
2010
fDate
7-8 Aug. 2010
Firstpage
310
Lastpage
313
Abstract
The electrical power system has the uncertainty in its operation process, from this brings the demand forecast can with actual demand existence certain deviation. The balanced from the electricity generation and the load demand may brought to be, by using of the day-ahead and real-time electricity market transaction mechanism and the demand real-time adjustment electricity generation. At the same time, to manifest the demand-side fully in the market competition function, a revised bidding strategy was studied for the demand-side under the day-ahead and real-time market, making use of two stage decision method of the newsvendor problem. The example had indicated this method had feasible.
Keywords
power markets; bidding strategy; day-ahead market; demand forecast; demand real-time adjustment electricity generation; electricity markets; load demand; market competition function; newsvendor method; real-time market; Analytical models; Electricity; Electricity supply industry; Generators; Mathematical model; Power systems; Real time systems; bidding strategy; day-ahead and real-time market; demand-side; electricity market; newsvendor problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location
Xi´an
Print_ISBN
978-1-4244-7669-5
Electronic_ISBN
978-1-4244-7670-1
Type
conf
DOI
10.1109/ISME.2010.131
Filename
5573820
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