DocumentCode
1709673
Title
Optimal TOU Decision Considering Demand Response Model
Author
Yu, Na ; Yu, Ji Lai
Author_Institution
Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin
fYear
2006
Firstpage
1
Lastpage
5
Abstract
In China, the electricity shortage is a serious problem especially in the east. Inducing the demand side and implementing demand side management (DSM) is an important way to solve the electricity shortage. It is good to development of the Chinese power market. Time of use (TOU) is one of the important DSM methods. Through TOU the demand side will respond to the price, and will change the shape of the demand curve. Thus the load condition will be improved. The key of implementing TOU is reasonable setting TOU price. Based on the analysis on historical load data, a multi-object TOU price decision model based on the demand side price response model is presented, and a fuzzy method is used to deal with this multiple objects model. The linear programming method is used to solve the problem. The data of a practical customer is used to test the feasibility of the proposed model.
Keywords
decision making; demand side management; fuzzy set theory; linear programming; power markets; power system economics; pricing; Chinese power market; DSM; customer response model; demand curve; demand response model; demand side management; electricity shortage; fuzzy method; historical load data analysis; linear programming method; multiobject TOU price decision model; optimal time-of-use decision; Energy management; Investments; Linear programming; Load management; Monopoly; Power markets; Power system management; Power system modeling; Shape; Testing; Demand Response model; Demand Side Management (DSM); Fuzzy Membership; Power Market; Time of Use (TOU) Decision;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology, 2006. PowerCon 2006. International Conference on
Conference_Location
Chongqing
Print_ISBN
1-4244-0110-0
Electronic_ISBN
1-4244-0111-9
Type
conf
DOI
10.1109/ICPST.2006.321461
Filename
4116286
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