Modeling unit commitment in political context: Case of China's partially restructured electricity sector
© 2018 IEEE. Restructuring an electricity sector entails a complex realignment of political and economic institutions, which may both delay and distort the achievement of satisfactorily competitive conditions. In research and planning for policy interventions in power systems under these varied regu...
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2021
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| Online Access: | https://hdl.handle.net/1721.1/138007 |
| _version_ | 1811081880625217536 |
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| author | Davidson, Michael R. Pérez-Arriaga, J. Ignacio |
| author2 | Massachusetts Institute of Technology. Institute for Data, Systems, and Society |
| author_facet | Massachusetts Institute of Technology. Institute for Data, Systems, and Society Davidson, Michael R. Pérez-Arriaga, J. Ignacio |
| author_sort | Davidson, Michael R. |
| collection | MIT |
| description | © 2018 IEEE. Restructuring an electricity sector entails a complex realignment of political and economic institutions, which may both delay and distort the achievement of satisfactorily competitive conditions. In research and planning for policy interventions in power systems under these varied regulatory environments, typical operational models may neglect important interactions between techno-economic criteria and political constraints, leading to poor understanding of underlying causes of inefficiency and to inappropriate recommendations. We develop tractable formulations of the unit commitment problem based on integer clustering of similar units that endogenize important political factors in the Northeast grid region of China. We demonstrate the importance of these interactions on operations and provide a set of options for researchers to explore further pathways for China's ongoing power system reforms. For example, wind integration, a key policy priority, is inhibited by the interaction of institutions limiting short- A nd long-term sources of flexibilities in interprovincial trade. |
| first_indexed | 2024-09-23T11:53:52Z |
| format | Article |
| id | mit-1721.1/138007 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:53:52Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1380072023-04-11T21:05:58Z Modeling unit commitment in political context: Case of China's partially restructured electricity sector Davidson, Michael R. Pérez-Arriaga, J. Ignacio Massachusetts Institute of Technology. Institute for Data, Systems, and Society Massachusetts Institute of Technology. Joint Program on the Science & Policy of Global Change Sloan School of Management © 2018 IEEE. Restructuring an electricity sector entails a complex realignment of political and economic institutions, which may both delay and distort the achievement of satisfactorily competitive conditions. In research and planning for policy interventions in power systems under these varied regulatory environments, typical operational models may neglect important interactions between techno-economic criteria and political constraints, leading to poor understanding of underlying causes of inefficiency and to inappropriate recommendations. We develop tractable formulations of the unit commitment problem based on integer clustering of similar units that endogenize important political factors in the Northeast grid region of China. We demonstrate the importance of these interactions on operations and provide a set of options for researchers to explore further pathways for China's ongoing power system reforms. For example, wind integration, a key policy priority, is inhibited by the interaction of institutions limiting short- A nd long-term sources of flexibilities in interprovincial trade. 2021-11-09T18:12:55Z 2021-11-09T18:12:55Z 2018-09 2019-09-26T17:13:55Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/138007 Davidson, Michael R. and Pérez-Arriaga, J. Ignacio. 2018. "Modeling unit commitment in political context: Case of China's partially restructured electricity sector." en 10.1109/TPWRS.2018.2822480 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Michael R. Davidson |
| spellingShingle | Davidson, Michael R. Pérez-Arriaga, J. Ignacio Modeling unit commitment in political context: Case of China's partially restructured electricity sector |
| title | Modeling unit commitment in political context: Case of China's partially restructured electricity sector |
| title_full | Modeling unit commitment in political context: Case of China's partially restructured electricity sector |
| title_fullStr | Modeling unit commitment in political context: Case of China's partially restructured electricity sector |
| title_full_unstemmed | Modeling unit commitment in political context: Case of China's partially restructured electricity sector |
| title_short | Modeling unit commitment in political context: Case of China's partially restructured electricity sector |
| title_sort | modeling unit commitment in political context case of china s partially restructured electricity sector |
| url | https://hdl.handle.net/1721.1/138007 |
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