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Lookup NU author(s): Dr Chris Mullen, Dr Neal WadeORCiD, Professor Phil Taylor
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.
For re-use rights please refer to the publisher's terms and conditions.
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.
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
