Balancing CO2 emissions and economic cost in a microgrid through an energy management system using MPC and multi-objective optimization
In this work, the energy production of a microgrid is managed to satisfy the demand while
simultaneously minimizing two objectives: CO 2 emissions and the economic cost of …
simultaneously minimizing two objectives: CO 2 emissions and the economic cost of …
Hierarchical economic model predictive control approach for a building energy management system with scenario-driven EV charging
To handle the increasing number of electric vehicles (EVs) and their effect on the
infrastructure, intelligent and coordinated charge management is necessary. In this paper …
infrastructure, intelligent and coordinated charge management is necessary. In this paper …
[HTML][HTML] Hierarchical MPC for building energy management: Incorporating data-driven error compensation and mitigating information asymmetry
The increasing adoption of renewable energy sources (RESs) in public power grids has led
to a demand for more intelligent energy management systems (EMSs) in large-scale …
to a demand for more intelligent energy management systems (EMSs) in large-scale …
Incorporating human preferences in decision making for dynamic multi-objective optimization in Model Predictive Control
We present a new two-step approach for automatized a posteriori decision making in multi-
objective optimization problems, ie, selecting a solution from the Pareto front. In the first step …
objective optimization problems, ie, selecting a solution from the Pareto front. In the first step …
The cost of photovoltaic forecasting errors in microgrid control with peak pricing
Model predictive control (MPC) is widely used for microgrids or unit commitment due to its
ability to respect the forecasts of loads and generation of renewable energies. However …
ability to respect the forecasts of loads and generation of renewable energies. However …
Multiobjective strict dissipativity via a weighted sum approach
We consider nonlinear model predictive control (MPC) with multiple competing cost
functions. This leads to the formulation of multiobjective optimal control problems (MO …
functions. This leads to the formulation of multiobjective optimal control problems (MO …
MPC-based EMS for a Series Hybrid Electric Tractor
G Curiel-Olivares, G Escobar, SC Johnson… - IEEE …, 2024 - ieeexplore.ieee.org
This paper presents a model predictive control (MPC) based energy management system
(EMS) using a multi-objective optimization problem. The proposed scheme design utilizes …
(EMS) using a multi-objective optimization problem. The proposed scheme design utilizes …
An efficient approach for peak-load-aware scheduling of energy-intensive tasks in the context of a public IEEE challenge
The shift towards renewable energy and decreasing battery prices have led to numerous
installations of PV and battery systems in industrial and public buildings. Furthermore, the …
installations of PV and battery systems in industrial and public buildings. Furthermore, the …
Regression-based model error compensation for a hierarchical MPC building energy management system
One of the major challenges in the development of energy management systems (EMSs) for
complex buildings is accurate modeling. To address this, we propose an EMS, which …
complex buildings is accurate modeling. To address this, we propose an EMS, which …
PARODIS: One MPC framework to control them all-Almost
We introduce the MATLAB framework PARODIS, the Pareto optimal Model Predictive
Control framework for distributed Systems. It is a general-purpose, flexible and easy-to-use …
Control framework for distributed Systems. It is a general-purpose, flexible and easy-to-use …