Siddiqui, AS;
Tanaka, M;
Chen, Y;
(2019)
Sustainable Transmission Planning in Imperfectly Competitive Electricity Industries: Balancing Economic and Environmental Outcomes.
European Journal of Operational Research
, 275
(1)
pp. 208-223.
10.1016/j.ejor.2018.11.032.
Preview |
Text
TSO_STC_7Nov2018.pdf - Accepted Version Download (808kB) | Preview |
Abstract
We explore the role of a transmission system operator (TSO) that builds a transmission line to accommodate renewable energy in order to lower emissions as required by government policy. In contrast to central planning, a TSO in a deregulated electricity industry can only indirectly influence outcomes through its choice of the transmission line capacity. Via a bi-level model, we show that this results in less transmission capacity and with limited emissions control in a perfectly competitive industry vis-à-vis a benchmark centrally planned system. A carbon charge on industry that fully accounts for the cost of pollution damage leads to a perfect alignment of incentives and maximised social welfare only under perfect competition. By contrast, a carbon charge may actually lower social welfare under a Cournot oligopoly as the resulting reduction in consumption facilitates the further exercise of market power.
Type: | Article |
---|---|
Title: | Sustainable Transmission Planning in Imperfectly Competitive Electricity Industries: Balancing Economic and Environmental Outcomes |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.ejor.2018.11.032 |
Publisher version: | https://doi.org/10.1016/j.ejor.2018.11.032 |
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. |
Keywords: | OR in environment and climate change, transmission planning, bi-level modelling, market power |
UCL classification: | UCL 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/10062477 |
Archive Staff Only
View Item |