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Implementation of a novel multi-agent system for demand response management in low-voltage distribution networks

Abstract:

In this era of advanced distribution automation technologies, demand response is becoming an important tool for electricity network management. The available flexible loads can efficiently help in alleviating the network constraints and achieving demand-supply balance. Therefore, this forms the rationale behind this paper, which aims to implement a multi-agent system framework in order to achieve flexible price-based demand response. A genetic algorithm-based multi-objective optimization tech...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.apenergy.2019.113516

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
ORCID:
0000-0001-9572-0972
More by this author
Role:
Author
ORCID:
0000-0003-0867-2365
Publisher:
Elsevier Publisher's website
Journal:
Applied Energy Journal website
Volume:
253
Article number:
113516
Publication date:
2019-07-19
Acceptance date:
2019-07-09
DOI:
ISSN:
0306-2619
Language:
English
Keywords:
Pubs id:
pubs:1033498
UUID:
uuid:cb8b6417-613c-4ffa-9cd1-f1929e4dff83
Local pid:
pubs:1033498
Source identifiers:
1033498
Deposit date:
2019-07-19

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