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It is anticipated that penetration of renewable energy sources (RESs) inpower systems will increase further in the next decades mainly due toenvironmental issues. In the long term of several decades, which we refer to interms of the future grid (FG), balancing between supply and demand will becomedependent on demand actions including demand response (DR) and energy storage.So far, FG feasibility studies have not considered these new demand-sidedevelopments for modelling future demand. In Australia, installed rooftopphotovoltaic (PV) generation has been increasing significantly in recent years,and this is increasingly influence the nett load profile for FG feasibilitystudies. This paper proposes an aggregate nett load or demand model to be usedat higher voltage levels considering the effect of rooftop PV, energy storageand DR for FG scenarios, which is inspired by the smart home concept. Theproposed model is formulated as an optimization problem aiming at minimizingthe electricity cost. As a case study, the effect of the load model is studiedon the load profile, balancing and loadability of the Australian NationalElectricity Market in 2020 with the increased penetration of wind and solargeneration.

Aggregated Demand Modelling Including Distributed Generation, Storage and Demand Response