z-logo
open-access-imgOpen Access
Optimal Power Flow for a Multi-Energy Vector MicroGrid
Author(s) -
Chaoyun Wang,
Damien Faille,
Lilia Galaï-Dol,
Gilney Damm
Publication year - 2020
Publication title -
ifac-papersonline
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 72
eISSN - 2405-8971
pISSN - 2405-8963
DOI - 10.1016/j.ifacol.2020.12.2129
Subject(s) - renewable energy , mathematical optimization , microgrid , computer science , electric power , power (physics) , electricity , energy consumption , energy (signal processing) , electrical engineering , engineering , mathematics , physics , statistics , quantum mechanics
The paper introduces a combined modeling that can allow the Optimal Power Flow of a Multi-Energy Vector merging electric and thermal networks. This topic is motivated by the goal of introducing larger shares of renewable energy in the overall energy consumption, which is hindered by the intermittent nature of these renewable energies. To tackle this problem, it is acknowledged that almost half energy consumption in urban environments is used for thermic objectives. For this reason, a possible solution is to use in parallel electric and thermic networks, called the Multi-Energy Vector. It is then first proposed a combined model, and then aiming at cost optimization, it is performed an optimal power flow, such as to supply references for lower-level controllers, attaining the desired objectives, and keeping all variables inside their operational margins. The proposed scheme is applied to both electric and thermal networks of the under-construction Moulon quarter of Paris-Saclay University. The simulation results illustrate the economic gains that can be made with this joint operation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom