Publication

Optimal Operation of Multi-Energy Systems in Integrated Energy Networks with Distributed Peer-to-Peer Energy Transactive Framework

Rowe, Kirkland
Publication Date
End of Embargo
Supervisor
Mokryani, Geev
Cooke, Kavian O.
Campean, Felician
Chambers, T.
Keywords
Multi-carrier energy systems, Energy hubs, Gas network, Distribution networks, Integrated natural gas, Electricity network, Bi-level optimization, Peer-to-peer (P2P) energy trading, Uncertainty
Rights
Creative Commons License
The University of Bradford theses are licenced under a Creative Commons Licence.
Peer-Reviewed
Open Access status
Accepted for publication
Institution
University of Bradford
Department
School of Engineering. Faculty of Engineering and Digital Technologies
Awarded
2024
Embargo end date
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Theses
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PhD Thesis
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Abstract
Multi-carrier energy systems (MES) and peer-to-peer (P2P) energy sharing have gained research attention for their sustainability benefits to energy systems. As a result, this thesis proposes optimal operation models for integrated energy distribution networks with interconnected MES operating in a P2P market. A stochastic bi-level optimization model is formulated for interconnected energy hubs in an integrated gas/electrical distribution network with P2P trading to simulate the interaction between the distribution network operator (DNO) and energy hubs. A new P2G energy hub is then modelled to capture the strategic interactions and dependencies of the energy networks, enabling more efficient resource allocation and cost minimisation. Furthermore, to improve energy management across multiple energy networks, a novel model is developed to optimally size and site an innovative design for a multi-energy storage system (MESS). Lastly, to investigate the coordination of energy hubs in a fully integrated energy network of electricity/heat/gas, a novel optimisation model is proposed for the multi-node sizing and siting of multiple interconnected MES. The effectiveness of the proposed models was demonstrated through case studies. The results show that by participating in the P2P market, the energy hubs can reduce trade with DNOs, reducing their daily operating cost. Furthermore, the combined effect of P2P and the energy hubs reduced the planning cost of the MESS by 11% and the energy hubs' operating cost by 7%. The results also show that optimally configured MES could support the operation of integrated energy networks with renewable energy. Moreover, the thesis offers valuable strategic decision-making tools for energy system operators.
URI
https://bradscholars.brad.ac.uk/handle/10454/20745
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Type
Thesis
Qualification name
PhD
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