Cloud – Edge Grid Control : Advanced Flexibility for Aggregated Local Communities

Control models of power grids are rapidly evolving. New control models are adopting hierarchical distributed strategies in which local energy communities are involved in the decision-making process. In such control models, local energy communities are able, through demand response strategies, to provide aggregated flexibility services to the grid. However, this requires the implementation of available flexibility computation strategies capable of maximizing flexibility when required, while considering local preferences. This paper proposes an advanced local flexibility computation strategy adapted for hierarchical distributed control models. The strategy is applied to a proposed grid control model, at a distribution level, referred to as ‘cloud –edge’.