Treffer: Optimal operation of building micro-grids, comparison for both mixed linear integer and continuous non-linear approaches

Title:
Optimal operation of building micro-grids, comparison for both mixed linear integer and continuous non-linear approaches
Contributors:
Laboratoire de Génie Electrique de Grenoble (G2ELab), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Civil Engineering [Leuven], Catholic University of Leuven = Katholieke Universiteit Leuven (KU Leuven)
Source:
optimization and inverse problems in electromagnetism (OIPE 2016), 2016, Rome, Italy
Publisher Information:
CCSD, 2016.
Publication Year:
2016
Collection:
collection:UGA
collection:CNRS
collection:INPG
collection:G2ELAB
collection:UGA-COMUE
collection:G2ELAB-MAGE
collection:TEST-UGA
Subject Geographic:
Original Identifier:
HAL: hal-02330355
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.02330355v1
Database:
HAL

Weitere Informationen

This paper presents two mathematical models to solve the Energy Management problem of a building microgrid. In particular, it proposes a deterministic Mixed Integer Linear Programming and Non-Linear Programming formulations. This article focuses on the modelling process and the optimization performances for both approaches regarding optimal operation of near zero energy buildings connected to an electric microgrid with a 24 hours time horizon. For that purpose, a general architecture of a microgrid is detailed, involving energy storage systems, distributed generation and a thermal reduced-model of the grid-connected building. A continuous non-linear model is detailed along with linearisations for the mixed-integer liner formulation. Multi-physic, non-linear and non-convex phenomenon are detailed, such as ventilation and air quality models. Results show that both approaches are relevant for solving the energy management problem of the building microgrid.