Abstract
In evolving electricity markets, wind generators would submit bids to the system operator, with an aim to maximize their profits. Generation offered by wind firms is highly random, which may result into heavy imbalance charges. In markets dominated by wind generators, they would optimize their offered bids, considering rival behavior. In oligopolistic electricity markets, this strategic behavior can be represented as a Stochastic Cournot model. Wind uncertainty is represented by scenarios generated using Auto Regressive Moving Average (ARMA) model. With a consideration of wind power uncertainty and imbalance cost, the expected profit of generators is calculated for a practical case study of wind firms located at Massachusetts, USA. Nash equilibrium is obtained using payoff matrix approach. This bidding strategy mechanism offers quantum increase in profit for wind firms, when their behavior is modeled in a game theoretic framework. Flexibility of approach offers opportunities for its extension to associated challenges.
Original language | English |
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Title of host publication | PES General Meeting/Conference & Exposition, 2014 IEEE |
Publisher | IEEE |
DOIs | |
Publication status | Published - 29 Oct 2014 |
Event | PES General Meeting/ Conference & Exposition, 2014 IEEE - National Harbor, USA United States Duration: 27 Jul 2014 → 31 Jul 2014 |
Conference
Conference | PES General Meeting/ Conference & Exposition, 2014 IEEE |
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Country/Territory | USA United States |
City | National Harbor |
Period | 27/07/14 → 31/07/14 |
Keywords
- Electricity markets
- Nash equilibrium
- Stochastic cournot model
- Wind power uncertainty