DocumentCode
2092176
Title
Notice of Retraction
A Matching Model of the Direct Power Transaction Based on the Bilateral Patterns
Author
Weiting Xu ; Junyong Liu ; Mai He ; Youbo Liu ; Jianming Zhang
Author_Institution
Key Lab. of Smart Grid, Sichuan Univ., Chengdu, China
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
6
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Traditional direct power transaction mostly based on the matching of bilateral quantity and prices of electricity. It is lack of effective means to optimize the electric transmission quality in the transaction. This paper considers the electric characteristic curves of the purchase and sales sides, and builds an auxiliary model for transaction which is based on bilateral patterns technical matching. The transaction schemes which are beneficial to power grid dispatching and reserve reduction are discussed in the direct power transaction market environment. Model uses multi-objective correlation analysis as the core, clustering process as the base and information entropy as the evaluation method to construct a combined algorithm, and provide the reference for making the direct power transaction schemes which are related to the electric patterns of participants. The data collected from a power grid company is used in this paper as an example of matching analysis. It verifies the validity of the model.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Traditional direct power transaction mostly based on the matching of bilateral quantity and prices of electricity. It is lack of effective means to optimize the electric transmission quality in the transaction. This paper considers the electric characteristic curves of the purchase and sales sides, and builds an auxiliary model for transaction which is based on bilateral patterns technical matching. The transaction schemes which are beneficial to power grid dispatching and reserve reduction are discussed in the direct power transaction market environment. Model uses multi-objective correlation analysis as the core, clustering process as the base and information entropy as the evaluation method to construct a combined algorithm, and provide the reference for making the direct power transaction schemes which are related to the electric patterns of participants. The data collected from a power grid company is used in this paper as an example of matching analysis. It verifies the validity of the model.
Keywords
correlation methods; power markets; power transmission economics; bilateral patterns technical matching; direct power transaction; direct power transaction market environment; electric transmission quality; electricity prices; information entropy; multiobjective correlation analysis; power grid company; power grid dispatching; Algorithm design and analysis; Clustering algorithms; Dispatching; Electric variables; Information analysis; Information entropy; Marketing and sales; Pattern analysis; Pattern matching; Power grids;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4812-8
Type
conf
DOI
10.1109/APPEEC.2010.5448380
Filename
5448380
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