Demand response solutions Based on connected appliances

Abstract : The Internet of Things (IoT) paradigm brings an opportunity for advanced Demand Response (DR) solutions. Indeed, it enables visibility and control on the various appliances that may consume, store or generate energy within a home. In this thesis, we consider solutions having the capability to produce direct control decisions at different granularities based on variables measured at homes. Control schemes are driven by an optimization based on utility functions. These functions are defined based on a generic approach that considers load’s flexibility and the impact of control decisions on users. The proposed approach does not impose any restrictions on the type of controlled appliances nor on the granularity of control decisions. This enables joint control of heterogeneous loads. We consider three types of control architectures, namely centralized, partially distributed and fully distributed solutions. Schemes based on these architectures differ in the distribution of decision making among entities involved in the control and data that is made available to these entities. Numerical analysis shows the trade-offs of proposed solutions from a performance, scalability and complexity perspectives.
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Rim Kaddah. Demand response solutions Based on connected appliances. Networking and Internet Architecture [cs.NI]. Télécom ParisTech, 2016. English. ⟨NNT : 2016ENST0025⟩. ⟨tel-01668589⟩

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