Modeling and prioritizing demand response programs in power markets

One of the responsibilities of power market regulator is setting rules for selecting and prioritizing demand response (DR) programs. There are many different alternatives of DR programs for improving load profile characteristics and achieving customers’ satisfaction. Regulator should find the optima...

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Bibliographic Details
Published inElectric power systems research Vol. 80; no. 4; pp. 426 - 435
Main Authors Aalami, H.A., Moghaddam, M. Parsa, Yousefi, G.R.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.04.2010
Elsevier
Subjects
AHP
Applied sciences
Demand response
Economic load model
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
MADM
Miscellaneous
Operation. Load control. Reliability
Power networks and lines
Price elasticity
TOPSIS
Price elasticity
AHP
Demand response
TOPSIS
Economic load model
MADM
Decision support system
Clientele
Power system economics
Optimization method
Elasticity
Load curve
Regulator
Hierarchized structure
Economic model
Weighting
Electrical network
Optimal solution
Power markets
ISO standard
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Summary:One of the responsibilities of power market regulator is setting rules for selecting and prioritizing demand response (DR) programs. There are many different alternatives of DR programs for improving load profile characteristics and achieving customers’ satisfaction. Regulator should find the optimal solution which reflects the perspectives of each DR stakeholder. Multi Attribute Decision Making (MADM) is a proper method for handling such optimization problems. In this paper, an extended responsive load economic model is developed. The model is based on price elasticity and customer benefit function. Prioritizing of DR programs can be realized by means of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Considerations of ISO/utility/customer regarding the weighting of attributes are encountered by entropy method. An Analytical Hierarchy Process (AHP) is used for selecting the most effective DR program. Numerical studies are conducted on the load curve of the Iranian power grid in 2007.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2009.10.007