Subkhankulova, D., Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, & McCollum, D. (2017). Demand Side Management: A Case for Disruptive Behaviour. In: Advanced Computational Methods for Knowledge Engineering. Eds. Le, Nguyen-Thinh, van Do, Tien, Nguyen, Ngoc Thanh, & Thi, Hoai An Le, pp. 47-59 Cham, Switzerland: Springer International Publishing AG. ISBN 978-3-319-61911-8 10.1007/978-3-319-61911-8_5.
Full text not available from this repository.Abstract
The UK electricity system is undergoing a significant transformation. Increasing penetration of renewable generation and integration of new consumer technologies (e.g. electric vehicles) challenge the traditional way of balancing electricity in the grid, whereby supply matches demand. Demand-side management (DSM) has been shown to offer a promising solution to the above problem. However, models proposed in literature typically consider an isolated system whereby a single aggregator coordinates homogeneous consumers. As a result potential externalities of DSM are overlooked. This work explores the value of DSM in the context of an interacting electricity system, where utilities compete for cheap electricity in the wholesale market. A stylized model of the UK electricity system is proposed, whereby a traditional supplier competes with a ‘green’ supplier in the wholesale market. The modelling was able to show that with enough dispatchable capacity the traditional supplier was able to benefit from instructing his consumers to increase demand peaks, which had an adverse effect on the system.
Item Type: | Book Section |
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Additional Information: | Conference Proceedings,5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017, 30 June - 1 July 2017, Berlin, Germany |
Uncontrolled Keywords: | Demand side management; Competing utilities; UK electricity system |
Research Programs: | Advanced Systems Analysis (ASA) Energy (ENE) |
Depositing User: | Romeo Molina |
Date Deposited: | 28 Jun 2017 07:49 |
Last Modified: | 27 Aug 2021 17:29 |
URI: | https://pure.iiasa.ac.at/14688 |
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