This paper addresses the microgrid energy management problem within a coherent framework of control tools based on Mixed-Integer Linear Programming (MILP) and constrained Model Predictive Control (MPC). These help characterize the microgrid components' dynamics and the overall system control architecture. A fault tolerant strategy is considered in order to ensure the proper amount of energy in the storage devices such that (together with the utility grid) the essential consumer demand is reliably covered. Simulation results on a particular microgrid architecture validate the proposed approach
The need to increase renewable energy sources deployment and to reduce consumption of fossil fuels h...
As local renewable energy based generation units are being deployed worldwide, distribution grids ar...
© 2019 IEEE. This paper presents a model predictive control (MPC) approach based on the mixed intege...
This paper addresses the microgrid energy management problem within a coherent framework of control ...
International audienceThis paper presents an extension of a Model Predictive Control (MPC) approach ...
In this brief paper, we formalise a fault-tolerant control and mitigation strategy for the energy ma...
Microgrids are subsystems of the distribution grid which comprises small generation capacities, ...
Distributed generation systems and microgrids are instrumental for a greater penetration of renewabl...
Microgrids are subsystems of the distribution grid, which comprises generation capacities, storage d...
A single-level rule-based model predictive control (RBMPC) scheme is presented for optimizing the en...
Isolated regions and remote islands are facing problems such as imported fossil-fuel dependency, inc...
In this study we present a Model Predictive Control (MPC) approach to Energy Management Systems (EMS...
An increasing awareness of energy efficiency has led to the development of several improved converte...
This paper presents a methodology on the design of an optimal predictive control scheme applied to a...
This paper deals with some issues related to optimal operation of microgrids, which are a group of l...
The need to increase renewable energy sources deployment and to reduce consumption of fossil fuels h...
As local renewable energy based generation units are being deployed worldwide, distribution grids ar...
© 2019 IEEE. This paper presents a model predictive control (MPC) approach based on the mixed intege...
This paper addresses the microgrid energy management problem within a coherent framework of control ...
International audienceThis paper presents an extension of a Model Predictive Control (MPC) approach ...
In this brief paper, we formalise a fault-tolerant control and mitigation strategy for the energy ma...
Microgrids are subsystems of the distribution grid which comprises small generation capacities, ...
Distributed generation systems and microgrids are instrumental for a greater penetration of renewabl...
Microgrids are subsystems of the distribution grid, which comprises generation capacities, storage d...
A single-level rule-based model predictive control (RBMPC) scheme is presented for optimizing the en...
Isolated regions and remote islands are facing problems such as imported fossil-fuel dependency, inc...
In this study we present a Model Predictive Control (MPC) approach to Energy Management Systems (EMS...
An increasing awareness of energy efficiency has led to the development of several improved converte...
This paper presents a methodology on the design of an optimal predictive control scheme applied to a...
This paper deals with some issues related to optimal operation of microgrids, which are a group of l...
The need to increase renewable energy sources deployment and to reduce consumption of fossil fuels h...
As local renewable energy based generation units are being deployed worldwide, distribution grids ar...
© 2019 IEEE. This paper presents a model predictive control (MPC) approach based on the mixed intege...