DocumentCode
2092193
Title
Notice of Retraction
The Classification Method of Price Response Sensitivity Based on Time Delay
Author
Junyu Yao ; Junyong Liu ; Mai He ; Can Hu
Author_Institution
Key Lab. of Smart Grid, Sichuan Univ., Chengdu, China
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
5
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.
It is pointed out the concept of time delay of price response and the mathematical model based on price elasticity matrix of demand. The concept and mathematical model are used to study the steady state of time delay of response and the time-delay index is quantified. Combined by demand elasticity of response, a large amount of users are analyzed in demand response, by FCM clustering method, to classify the users with the common characteristics of price response. The classification results are proved valid according to typical load curve of different type users in each time section. By increasing the time dimension of integrated sensitivity of response matrix, users´ response information is expanded. The example indicates that the users who have response to price adjustment are identified quickly by time delay index, evaluates the response of time delay, and enriches methods of user classification. It provides technical support to detect rapidly user´ response in smart grid and realizes gird company and users to interact. It is positive to decrease indefinability of response and take part in market trade to make purchasing and selling scheduling for power companies.
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.
It is pointed out the concept of time delay of price response and the mathematical model based on price elasticity matrix of demand. The concept and mathematical model are used to study the steady state of time delay of response and the time-delay index is quantified. Combined by demand elasticity of response, a large amount of users are analyzed in demand response, by FCM clustering method, to classify the users with the common characteristics of price response. The classification results are proved valid according to typical load curve of different type users in each time section. By increasing the time dimension of integrated sensitivity of response matrix, users´ response information is expanded. The example indicates that the users who have response to price adjustment are identified quickly by time delay index, evaluates the response of time delay, and enriches methods of user classification. It provides technical support to detect rapidly user´ response in smart grid and realizes gird company and users to interact. It is positive to decrease indefinability of response and take part in market trade to make purchasing and selling scheduling for power companies.
Keywords
delays; power generation scheduling; power grids; power markets; power system economics; demand elasticity; fuzzy C-means clustering; gird company; integrated sensitivity; market trade; mathematical model; price elasticity matrix; price response sensitivity; purchasing scheduling; selling scheduling; smart grid; time delay index; Clustering methods; Delay effects; Elasticity; Energy consumption; Load management; Mathematical model; Power grids; Smart grids; Steady-state; Time factors;
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.2010.5448381
Filename
5448381
Link To Document