DocumentCode :
2530117
Title :
Behavioral model using Conjectural Variation in power markets considering the effect of contracts
Author :
Sakri, Sangamesh G. ; Kiran, N. Sasi ; Khaparde, S.A.
Author_Institution :
PDA Coll. of Eng., Gulbarga
fYear :
2008
fDate :
20-24 July 2008
Firstpage :
1
Lastpage :
7
Abstract :
Introduction of competition in the generation sector has resulted in an interest for modeling the behavior of competitors for all strategic decisions. The behavioral model using conjectural variation (CV) will play a key role in the prediction of behavior of all constituents of power market. The conjecture of a firm is defined as its belief or expectation about how its opponents will react to a change in its output. Since there is an absence of any confidential information, the CV based model has to be based on past data. In this paper, the following applications are reported. (a) An optimal bidding strategy, based on CV, to obtain the coefficients of affine supply function. For this, the elasticity of demand is also considered. The method, as applied to a practical system, is illustrated. (b) The effect of contracts on a pool based spot market. In this analysis, we study the effect of contracts on bids of generating companies, and the market power exercised by them. Simulation results for different sample systems are presented, which substantiate the analytic conclusions.
Keywords :
affine transforms; decision theory; electrical contracting; power generation economics; power markets; affine supply function; behavioral model; bidding strategy; conjectural variation; contract effects; demand elasticity; generating company; power markets; strategic decision theory; Costs; Economic forecasting; Electricity supply industry; Forward contracts; Gaussian distribution; Power generation; Power markets; Power system modeling; Predictive models; Uncertainty; Conjectural variation; forward market; market power; optimal bidding; supply function equilibrium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
ISSN :
1932-5517
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2008.4596013
Filename :
4596013
Link To Document :
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