Energy Management in Microgrids Using Model Predictive Control Empowered with Artificial Intelligence
This work proposes an advanced control framework for the energy management of an islanded microgrid, using Model Predictive Control (MPC) methodology empowered with Artificial Intelligence (AI). In this hybrid approach, AI models substitute complex mathematical modelling of power assets necessary fo...
Main Authors: | Dimitrios Trigkas, Georgios Gravanis, Konstantinos Diamantaras, Spyridon Voutetakis, Simira Papadopoulou |
---|---|
Format: | Article |
Language: | English |
Published: |
AIDIC Servizi S.r.l.
2022-09-01
|
Series: | Chemical Engineering Transactions |
Online Access: | https://www.cetjournal.it/index.php/cet/article/view/12717 |
Similar Items
-
A Novel Approach to Recognize Hidden Machinery Malfunctions Based on Operational Data
by: Georgios Gravanis, et al.
Published: (2023-10-01) -
Modelling and Evaluation of CO2-based Electrothermal Energy Storage System
by: Alexios-Spyridon Kyriakides, et al.
Published: (2023-10-01) -
Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control
by: Dimitrios Trigkas, et al.
Published: (2021-02-01) -
Optimal Operation of a Residential Battery Energy Storage System in a Time-of-Use Pricing Environment
by: Charalampos Galatsopoulos, et al.
Published: (2020-08-01) -
FMEA and Risks Assessment for Thermochemical Energy Storage Systems Based on Carbonates
by: Andrés Carro, et al.
Published: (2021-09-01)