Multiple energy carrier optimisation with intelligent agents R1_not-marked.pdf (983.72 kB)
Multiple energy carrier optimisation with intelligent agents
journal contribution
posted on 2023-06-08, 23:05 authored by Spyros Skarvelis-KazakosSpyros Skarvelis-Kazakos, Panagiotis Papadopoulos, Iñaki Grau Unda, Terry Gorman, Abdelhafid Belaidi, Stefan ZiganMultiple energy carrier systems stem from the need to evolve traditional electricity, gas and other energy systems to more efficient, integrated energy systems. An approach is presented, for controlling multiple energy carriers, including electricity (AC or DC), heat, natural gas and hydrogen, with the objective to minimise the overall cost and/or emissions, while adhering to technical and commercial constraints, such as network limits and market contracts. The technique of multi-agent systems (MAS) was used. The benefits of this approach are discussed and include a reduction of more than 50% in the balancing costs of a potential deviation. An implementation of this methodology is also presented. In order to validate the operation of the developed system, a number of experiments were performed using both software and hardware. The results validated the efficient operation of the developed system, proving its ability to optimise the operation of multiple energy carrier inputs within the context of an energy hub, using a hierarchical multi-agent system control structure.
History
Publication status
- Published
File Version
- Accepted version
Journal
Applied EnergyISSN
0306-2619Publisher
ElsevierExternal DOI
Volume
167Page range
323-335Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2015-12-14First Open Access (FOA) Date
2017-04-01First Compliant Deposit (FCD) Date
2015-12-14Usage metrics
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