Electricity market integration of stochastic renewable resources : efficiency and risk tradeoffs
Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2017.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2017
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| Online Access: | http://hdl.handle.net/1721.1/108958 |
| _version_ | 1826190710318039040 |
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| author | Schneider, Ian Michael |
| author2 | Mardavij Roozbehani and Munther A. Dahleh. |
| author_facet | Mardavij Roozbehani and Munther A. Dahleh. Schneider, Ian Michael |
| author_sort | Schneider, Ian Michael |
| collection | MIT |
| description | Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2017. |
| first_indexed | 2024-09-23T08:44:31Z |
| format | Thesis |
| id | mit-1721.1/108958 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:44:31Z |
| publishDate | 2017 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1089582022-01-31T21:40:25Z Electricity market integration of stochastic renewable resources : efficiency and risk tradeoffs Schneider, Ian Michael Mardavij Roozbehani and Munther A. Dahleh. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Engineering Systems Division Massachusetts Institute of Technology. Institute for Data, Systems, and Society Technology and Policy Program Institute for Data, Systems, and Society. Technology and Policy Program. Electrical Engineering and Computer Science. Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2017. Thesis: S.M. in Electrical Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 55-57). Electricity generation from renewable sources is growing rapidly, but the variability and uncertainty of renewable resources like wind and solar energy can increase the costs of supplying reliable electricity. Competitive markets for wholesale electricity are widely used in the United States, but the regulatory details that govern their treatment of stochastic resources can have significant effects on efficiency and risk. This research analyzes how producers respond to market mechanisms intended to improve forecasting and long-term siting decisions. This thesis characterizes producer equilibrium strategies in competitive short term energy markets by examining the bidding behavior of energy market participants when energy imbalance payments are determined endogenously from market clearing conditions. The results show that the market-based pricing mechanism leads to better tradeoffs of system efficiency and risk compared to the case where penalties are exogenous, suggesting additional benefits of market-based penalty prices beyond those previously studied. This research also explores how long-term market investment equilibria are affected by current energy policies. It presents new analytical results showing how the Production Tax Credit (PTC) biases wind investment towards high-producing sites, but with higher overall levels of wind correlation, which can induce additional costs associated with reliability and system risk. by Ian Michael Schneider. S.M. in Technology and Policy S.M. in Electrical Engineering 2017-05-11T19:57:51Z 2017-05-11T19:57:51Z 2017 2017 Thesis http://hdl.handle.net/1721.1/108958 986484783 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 57 pages application/pdf n-us--- Massachusetts Institute of Technology |
| spellingShingle | Institute for Data, Systems, and Society. Technology and Policy Program. Electrical Engineering and Computer Science. Schneider, Ian Michael Electricity market integration of stochastic renewable resources : efficiency and risk tradeoffs |
| title | Electricity market integration of stochastic renewable resources : efficiency and risk tradeoffs |
| title_full | Electricity market integration of stochastic renewable resources : efficiency and risk tradeoffs |
| title_fullStr | Electricity market integration of stochastic renewable resources : efficiency and risk tradeoffs |
| title_full_unstemmed | Electricity market integration of stochastic renewable resources : efficiency and risk tradeoffs |
| title_short | Electricity market integration of stochastic renewable resources : efficiency and risk tradeoffs |
| title_sort | electricity market integration of stochastic renewable resources efficiency and risk tradeoffs |
| topic | Institute for Data, Systems, and Society. Technology and Policy Program. Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/108958 |
| work_keys_str_mv | AT schneiderianmichael electricitymarketintegrationofstochasticrenewableresourcesefficiencyandrisktradeoffs |