Lau, E T*; Yang, Q*; Taylor, G A*; Forbes, A B; Wright, P S; Livina, V N (2014) Optimization of carbon emissions in smart grids. In: 49th International Universities Power Engineering Conference (UPEC), 2-5 September 2014, Cluj-Napoca, Romania.

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Abstract

In this paper the carbon emissions in smart grids are optimised. This is achieved by performing dynamical modelling with uncertainty analysis of smart grids using an Ensemble Based Closed-Loop Optimisation Scheme (EnOpt). Uncertainties include the fluctuations of consumer energy demand (behavioural) and generation fuel mix (green and non-green) are estimated using the Monte Carlo method. The UK electricity grid carbon factor is calculated based on the available energy data provided by the Balancing Mechanism Reporting System (BMRS). We apply the Ensemble Kalman Filter (EnKF) for the forecasting and prediction of the energy generation, consumption and resultant carbon emissions. Then we apply EnOpt to maximize the carbon savings in the system. Finally, we present results of EnOpt optimization of carbon emissions with estimated carbon savings.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Subjects:	Mathematics and Scientific Computing Mathematics and Scientific Computing > Modelling
Identification number/DOI:	10.1109/UPEC.2014.6934796
Last Modified:	02 Feb 2018 13:13
URI:	http://eprintspublications.npl.co.uk/id/eprint/6415

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