DocumentCode
2061399
Title
An integrated economic/emission/load profile management dispatch algorithm
Author
Caisheng Wang ; McElmurry, Shawn P. ; Miller, Christopher J. ; Junhui Zhao
Author_Institution
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
fYear
2012
fDate
22-26 July 2012
Firstpage
1
Lastpage
8
Abstract
Load profile management, among other load or demand side management (DSM) techniques, has been considered as an effective tool for power system operation and management. This paper introduces a load profile management program to be incorporated, along with the generation cost and emission constraints, in a dispatch algorithm to minimize the overall production cost over the period of the load profile management program. The algorithm has been implemented using Matlab optimization toolbox and tested on a 5-bus, 3-generator system. The simulation results are presented, compared and discussed for different scenarios with different levels of load management. The results show that the load management can help reduce generation costs and emissions.
Keywords
cost reduction; demand side management; environmental factors; minimisation; power generation dispatch; power generation economics; power system management; 5-bus 3-generator system; DSM techniques; Matlab optimization toolbox; demand side management; emission constraints; emission reduction; generation cost reduction; integrated economic-emission-load profile management dispatch algorithm; overall production cost minimization; power system management; power system operation; Biological system modeling; Economics; Electricity; Generators; Load management; Load modeling; Optimization; Demand side management; Pareto front; economic dispatch; economic/environmental dispatch; emission; emission dispatch; load management; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4673-2727-5
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PESGM.2012.6345405
Filename
6345405
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