Modeling unit commitment in political context: Case of China's partially restructured electricity sector
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DavidsonPerezArriaga_ModelingUCPoliticalContext_PrePublication.pdf
Description
Accepted version
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550.58 KB
Format
Adobe PDF
Checksum (MD5)
680de3070d00ecac1a6e42976a01590c
Author(s)
Davidson, Michael R.
Pérez-Arriaga, J. Ignacio
Date Issued
September 2018
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Davidson, Michael R. and Pérez-Arriaga, J. Ignacio. 2018. "Modeling unit commitment in political context: Case of China's partially restructured electricity sector."
Version
Author's final manuscript
Abstract
© 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.
MIT Department
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
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/TPWRS.2018.2822480
