Econometric Study on Forecasting Demand Response in Smart Grid


KIPS Transactions on Computer and Communication Systems, Vol. 1, No. 3, pp. 133-142, Dec. 2012
10.3745/KTCCS.2012.1.3.133,   PDF Download:

Abstract

Cournot model is one of representative models among many game theoretic approaches available for analyzing competitive market models. Recent years have witnessed various kinds of attempts to model competitive electricity markets using the Cournot model. Cournot model is appropriate for oligopoly market which is one characteristic of electric power industry requiring huge amount of capital investment. When we use Cournot model for the application to electricity market, it is prerequisite to assume the downward sloping demand curve in the right direction. Generators in oligopoly market could try to maximize their profit by exercising the market power like physical or economic withholding. However advanced electricity markets also have demand side bidding which makes it possible for the demand to respond to the high market price by reducing their consumption. Considering this kind of demand reaction, Generators couldn``t abuse their market power. Instead, they try to find out an equilibrium point which is optimal for both sides, generators and demand. This paper suggest a quantitative analysis between market variables based on econometrics for estimating demand responses in smart grid environment.


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Cite this article
[IEEE Style]
D. J. Kang and S. Park, "Econometric Study on Forecasting Demand Response in Smart Grid," KIPS Transactions on Computer and Communication Systems, vol. 1, no. 3, pp. 133-142, 2012. DOI: 10.3745/KTCCS.2012.1.3.133.

[ACM Style]
Dong Joo Kang and Sunju Park. 2012. Econometric Study on Forecasting Demand Response in Smart Grid. KIPS Transactions on Computer and Communication Systems, 1, 3, (2012), 133-142. DOI: 10.3745/KTCCS.2012.1.3.133.