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The impact of the coincidence of STOR and triad events on STOR provider's net-income considering load recovery characteristics

Lookup NU author(s): Chris Mullen, Dr Neal Wade, Professor Phil Taylor

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Institution of Engineering and Technology, 2016.

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Abstract

Demand side response (DSR) providers must consider several factors when participating in grid services by demand reduction. Considering the GB network this investigation analyses the net income probabilities due to the coincidence of DSR calls for system balancing with peak demand charges and the influence of demand recovery characteristics on this. This work develops a statistical model of STOR based on published market data and a demand model that calculates the Triad charge and the income from STOR provision, as well as the distribution use of system (DUoS) charges and energy costs. Using these models with historical Triad data, this paper illustrates the statistical spread of financial revenue to the STOR provider due to the timing of STOR and Triad periods. The model is also used to investigate the influence of demand recovery shapes on the provider's net income. This could be used in assessing whether demand recovery shape is an important consideration for the provider's DSR strategy.


Publication metadata

Author(s): Mullen C, Wade NS, Olabisi O, Taylor PC

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: CIRED Workshop

Year of Conference: 2016

Online publication date: 23/02/2017

Acceptance date: 02/04/2016

Date deposited: 04/05/2017

Publisher: Institution of Engineering and Technology

URL: http://doi.org/10.1049/cp.2016.0800

DOI: 10.1049/cp.2016.0800


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