DocumentCode
742937
Title
The Role of Out-of-Market Corrections in Day-Ahead Scheduling
Author
Al-Abdullah, Yousef M. ; Abdi-Khorsand, Mojdeh ; Hedman, Kory W.
Author_Institution
Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
Volume
30
Issue
4
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1937
Lastpage
1946
Abstract
In order to ensure a reliable and continuous supply of electric energy, operators must manage hundreds to thousands of generators with complex operating requirements, maintain synchronism, and manage thousands of transmission assets. Further complications arise due to stringent reliability standards, resource uncertainty, and limited economical energy storage. With advances in algorithmic performance and hardware, such optimization problems still require an engineered and simplified market structure. Market operators must therefore adjust the proposed market solution in order to obtain a valid solution. An overview of existing industry practices related to such market adjustments, referred to as out-of-market corrections, is presented. This paper also analyzes the market implications and required out-of-market corrections for the day-ahead scheduling process. Multiple out-of-market correction algorithms are created and used to analyze the potential impacts on market solutions and settlements. Finally, such solutions are compared against an extensive form stochastic unit commitment solution.
Keywords
flexible AC transmission systems; power generation dispatch; power generation economics; power generation reliability; power generation scheduling; power markets; power transmission lines; stochastic programming; algorithmic performance; continuous electric energy supply; day-ahead scheduling process; electric energy reliability; limited economical energy storage; market structure; multiple out-of-market correction algorithms; optimization problems; power generation dispatch; power system economics; power system reliability; resource uncertainty; transmission assets; Approximation methods; Generators; Industries; Job shop scheduling; Power system reliability; Pricing; Reliability; Operations research; power generation dispatch; power system economics; power system reliability;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2014.2353647
Filename
6905864
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