Consumers’ sensitivities and preferences modelling and integration in a decentralised two levels energy supervisor

To address the new challenges arising from higher penetration of renewable energy in electrical grid, Demand Response (DR) aims to involve residential consumers grid equilibrium. Ensuring benefits for both utility and users requires sensitivities be understood then included Energy Management System (EMS). For this purpose, cost is predominant most often only factor taken into account literature, although sector other concerns influencing electricity consumption behaviour have been observed. This paper presents a two levels EMS applied neighbourhood mathematically modelled at level their appliances incorporating 5 profiles along three sensitivities: cost, environment shifting comfort. The first day ahead supervision based on multi-agent optimisation lead by central aggregator but performed locally household using Dynamic Programming (DP), thus ensuring privacy protection stakeholders. second real time same decentralised structure fuzzy logic. Both are evaluated paper, with focus balance between objectives.