DocumentCode
1774449
Title
A load management optimization approach considering economic efficiency and load profile
Author
Wenrong Xu ; Ming Zhou ; Huidong Wang ; Huan Liu
Author_Institution
State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
fYear
2014
fDate
23-26 Sept. 2014
Firstpage
907
Lastpage
911
Abstract
Demand side management (DSM) is the planning, implementation and monitoring of those utility activities designed to influence customers´ use of electricity in ways that will produce desired changes in the utility´s load profile, especially for reducing the peak load. As a significant part of DSM, load management changes load profile by load shifting, load clipping, load translation and other methods. In the existing load management approaches, most of them simply focus on maximizing economic benefit or loading rate. To improve load management efficiency, this paper proposes a novel optimization approach, considering both economic efficiency and load shape, based on economy theory. Besides, several conversion methods are presented to turn the proposed mixed integer nonlinear programming model into nonlinear programming one in order to simplify the solving process. The simulation study shows that the proposed approach has the merits in economical efficiency and load profile improvement over the conventional method.
Keywords
demand side management; nonlinear programming; power system economics; DSM; demand side management; economic benefit; economic efficiency; economy theory; load clipping; load management efficiency; load profile; load shape; load shifting; load translation; loading rate; nonlinear programming; utility activities; Abstracts; Economics; Irrigation; Load modeling; Simulation; DSM; Economic Efficiency; Load Management Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Electricity Distribution (CICED), 2014 China International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/CICED.2014.6991840
Filename
6991840
Link To Document