Feb 25, 2016 · We formulate the control problem as an optimization problem to be solved repeatedly by the aggregator in a model predictive control framework.

We show how different aggrega- tor objectives are implemented and provide simulations of the controller including the computational performance. Index Terms— ...

Dec 9, 2024 · The MPC strategy is based on a discrete-time model of the system, which is used for the prediction of the behavior of the system during a future ...

In this paper, a distributed model predictive control (DMPC) scheme is presented to optimize the power flow management of microgrids in smart grid ...

Nov 12, 2024 · This paper proposes a distributed control system for use with dynamic EHs. The RESs and loads present in the multi-carrier system cause the dynamics ...

This article focuses on providing a comprehensive review of the applications of MPC to the power electronic interfaces of distributed energy resources (DERs) ...

Aug 17, 2022 · In this chapter we summarize and outline ideas on model predictive control (MPC) and distributed optimization in the context of demand-side ...

Aug 4, 2015 · This paper presents a flexible and modular control scheme based on distributed model predictive control (DMPC) to achieve optimal operation of ...

Feb 28, 2022 · Model predictive control is widely used in the research community for optimizing building HVAC systems to provide energy and cost savings [4] as ...

Model predictive control (MPC) is used in smart grids to control supply and demand and is applied in this paper to control a residential heating system. An ...