Title :
Generators Bidding Behavior in the NYISO Day-Ahead Wholesale Electricity Market
Author :
Zhang, Ning ; Mount, Timothy ; Boisvert, Richard
Author_Institution :
Dept. of Appl. Econ. & Manage., Cornell Univ., Ithaca, NY
Abstract :
Statistical and econometric modeling is used to analyze the dynamics of generators´ bidding behavior and resulting market prices in the NYISO day-ahead market during the summer of 2001 at three levels. First, at the generator level, generators´ offered capacity is modeled by a two-stage sample selection process. The grouping choices of generators are estimated in the first stage. In the second stage, generators´ offered capacity is estimated conditional on their grouping choices. Second, at the group level, we estimate the offer curves of each group. Third, at the total supply level, the aggregate supply curve is simulated by aggregating the offer curves of bidding groups. The estimated market prices based on the simulated supply curve can replicate most volatility of actual market prices. We find that demand conditions affect generators´ bidding behavior and thus market prices significantly by applying our model under different demand assumptions
Keywords :
power markets; power system economics; pricing; statistical analysis; supply and demand; NYISO; New York Independent System Operator; aggregate supply curve; day-ahead wholesale electricity market; econometric modeling; generators bidding behavior; market prices; statistical modeling; Aggregates; Character generation; Conference management; Costs; Econometrics; Electricity supply industry; Energy management; Power generation; Power generation economics; Power system economics;
Conference_Titel :
System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on
Conference_Location :
Waikoloa, HI
Electronic_ISBN :
1530-1605
DOI :
10.1109/HICSS.2007.237