Challenge from Transpower : determining the effect of the aggregated behaviour of solar photovoltaic power generation and battery energy storage systems on grid exit point load in order to maintain an accurate load forecast
Hassell Sweatman, Catherine Zoe Wollaston and Wichitaksorn, N. and Jiang, A. and Farrell, T. and Bootland, N. and Miskell, G. and Pritchard, G. and Chrystall, C. and Robinson, G. (2020) Challenge from Transpower : determining the effect of the aggregated behaviour of solar photovoltaic power generation and battery energy storage systems on grid exit point load in order to maintain an accurate load forecast. The Australian and New Zealand Industrial and Applied Mathematics Journal, 60 (2018). M1-M40. ISSN 1446-1811 (https://doi.org/10.21914/anziamj.v60i0.14619)
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Abstract
With limited data beyond the grid exit point (GXP) or substation level, how can Transpower determine the effect of the aggregated behaviour of solar photovoltaic power generation and battery energy storage systems on GXP load in order to maintain an accurate load forecast? In this initial study it is assumed that the GXP services a residential region. An algorithm based on non-linear programming, which minimises the financial cost to the consumer, is developed to model consumer behaviour. Input data comprises forecast energy requirements (load), solar irradiance, and pricing. Output includes both the load drawn from the grid and power returned to the grid. The algorithm presented is at the household level. The next step would be to combine the load drawn from the grid and the power returned to the grid from all the households serviced by a GXP, enabling Transpower to make load predictions. Various means of load forecasting are considered including the Holt--Winters methods which perform well for out-of-sample forecasts. Linear regression, which takes into account comparable days, solar radiation, and air temperature, yields even better performance.
ORCID iDs
Hassell Sweatman, Catherine Zoe Wollaston, Wichitaksorn, N., Jiang, A., Farrell, T., Bootland, N. ORCID: https://orcid.org/0000-0002-3207-5395, Miskell, G., Pritchard, G., Chrystall, C. and Robinson, G.;-
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Item type: Article ID code: 73880 Dates: DateEvent25 June 2020Published8 June 2020AcceptedSubjects: Science > Mathematics
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 16 Sep 2020 15:23 Last modified: 11 Nov 2024 12:48 URI: https://strathprints.strath.ac.uk/id/eprint/73880