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In this paper, the costs and carbon savings in the economic dispatch (ED) problem of the power system operation are optimised. Energy demands and generation are forecast and assimilated using ensemble Kalman filter (EnKF). Optimisation is performed using the ensemble-based closed-loop production optimisation scheme (EnOpt). The real energy parameters of thermal units with green generators (wind farm)...
We quantify carbon (CO2) savings in the demand side response (DSR) programmes. We consider Short Term Operating Reserve (STOR), Triad, Fast Reserve and Smart Meter roll-out, with various types of smart interventions involved (using diesel generators, hydro-pumped generation and use of tariffs). We model CO2 emissions in each of the DSR programmes with appropriate configurations and assumptions used...
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...
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