Multi-energy Microgrid Scheduling: A multi-vector demonstrator case study

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CIRED 2019 - 1773.pdf (884.54 KB)

Paper number

1773

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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

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.

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Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/566
http://dx.doi.org/10.34890/791

ISSN

2032-9644

ISBN

978-2-9602415-0-1