ISO Net Surplus Collection and Allocation in Wholesale Power Markets Under Locational Marginal Pricing
AbstractThis study uses 5-bus and 30-bus test cases to explore ISO net surplus (congestion rent) collections and allocations in wholesale power markets with grid congestion managed by locational marginal prices (LMPs). Price-sensitivity of demand and generator learning capabilities are taken as experimental�treatment factors. A key finding is that treatments resulting in greater generator capacity withholding, hence higher and more volatile LMPs, also result in greater ISO�net surplus collections that can be substantial in size.�� A key�conclusion is that ISO net surplus collections should be used pro-actively to mitigate the conditions encouraging generator capacity withholding and hence high and volatile LMPs rather than to provide ex post support for LMP payment offsets and LMP volatility risk hedging as is currently the norm. Related work can be found at: http://www.econ.iastate.edu/tesfatsi/AMESMarketHome.htm
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Bibliographic InfoPaper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 13092.
Date of creation: 09 Jul 2009
Date of revision:
Publication status: Published in IEEE Transactions on Power Systems, May 2011, vol. 26 no. 2, pp. 627-641
Contact details of provider:
Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
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Restructured wholesale power markets; ISO net surplus (congestion rents); multi-agent learning; demand-bid price sensitivity; AMES Wholesale Power Market Test Bed;
Find related papers by JEL classification:
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- D4 - Microeconomics - - Market Structure and Pricing
- D6 - Microeconomics - - Welfare Economics
- L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
- L3 - Industrial Organization - - Nonprofit Organizations and Public Enterprise
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
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- Borrill, Paul L. & Tesfatsion, Leigh, 2010. "Agent-Based Modeling: The Right Mathematics for the Social Sciences?," Staff General Research Papers 31674, Iowa State University, Department of Economics.
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