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Strategic storage use in a hydro-thermal power system with carbon constraints

Debia, S; Pineau, PO; Siddiqui, AS; (2021) Strategic storage use in a hydro-thermal power system with carbon constraints. Energy Economics , 98 , Article 105261. 10.1016/j.eneco.2021.105261. Green open access

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Abstract

Several interconnected power systems worldwide have largely thermal and hydro production along with CO_{2} cap-and-trade (C&T) systems and variable renewable energy sources (VRES). C&T policies increase VRES generation, and socially optimal storage deployment could integrate VRES output. However, hydro reservoirs may be used strategically due to market power. We investigate these distortions and assess measures for their mitigation via a bottom-up equilibrium model of New York and Québec. In particular, we find evidence that hydro producers shift water between seasons to manipulate electricity prices even under a net-hydro production constraint. Alternative regulation covering net imports as well as net-hydro production limits such temporal arbitrage but enables firms with both thermal generation and pumped-hydro storage to exercise spatial arbitrage. We demonstrate that these distortions will be exacerbated under more stringent C&T policies because price-taking thermal producers are less able to respond to price signals.

Type: Article
Title: Strategic storage use in a hydro-thermal power system with carbon constraints
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.eneco.2021.105261
Publisher version: https://doi.org/10.1016/j.eneco.2021.105261
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10127076
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