Multi-energy Microgrid Scheduling: A multi-vector demonstrator case study
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Paper number
1773
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Zografou-Barredo, Natalia-Maria, Newcastle University, United Kingdom
Patsios, Charalampos , Newcastle University, United Kingdom
Walker, Sara Louise, Newcastle University, United Kingdom
Davison, Peter , Newcastle University, United Kingdom
Patsios, Charalampos , Newcastle University, United Kingdom
Walker, Sara Louise, Newcastle University, United Kingdom
Davison, Peter , Newcastle University, United Kingdom
Abstract
The aim of this paper, is to provide a day-ahead optimal scheduling scheme for a multi-energy microgrid (MEM) which represents a real-world multi-vector demonstrator. The optimal scheduling scheme is tested against data from the multi-vector demonstrator in five different scenarios of the day-ahead demand and market prices. The assets of the multi-vector demonstrator include: a combined heat and power (CHP) plant, a central gas boiler, an energy storage system (ESS), a solar PV, an electric heater, and an electric vehicle (EV) filling station. The optimal scheduling scheme has been formed in order to capture the energy flows of the MEM. The problem is mathematically formulated as a mixed integer linear programming problem. A numerical case study verifies the effectiveness of the proposed scheduling scheme.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/566
http://dx.doi.org/10.34890/791
http://dx.doi.org/10.34890/791
ISSN
2032-9644
ISBN
978-2-9602415-0-1