Closed-loop simulation testing of a probabilistic DR framework for Day Ahead Market participation applied to Battery Energy Storage Systems

In this manuscript, we test the operational performance decrease of a probabilistic framework for Demand Response (DR). We use Day Ahead Market (DAM) price scenarios generated by a Combined Quantile Regression Deep Neural Network (CQR-DNN) and a Non-parametric Bayesian Network (NPBN) to maximise profit of a Battery Energy Storage System (BESS)...

Optimal Management and Control of Solar PV Attached Electricity Storage According to Energy Price Signals

End – consumers have become more active in the effort to achieve secure operation of the electricity grid. Demand response offers a set of solutions allowing consumers to achieve normalised load profiles and increase the balance between energy generation and consumption. Storage technologies and renewable energy sources integrated in microgrid...