Coordinated configuration strategy of multi-energy systems based on capacity-energy-information sharing

Wang, Zixuan, Li, Peng, Zhou, Yue ORCID: https://orcid.org/0000-0002-6698-4714, Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602, Zhang, Chunyan, Zeng, Pingliang, Wang, Jiahao, Pan, Youpeng and Yin, Yunxing 2023. Coordinated configuration strategy of multi-energy systems based on capacity-energy-information sharing. Energy 277 , 127699. 10.1016/j.energy.2023.127699

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Abstract

Multi-energy systems (MESs) integrate multiple energy vectors and contribute to energy efficient utilization, which have received considerable attention in the energy research field. However, regarding a MES with multi communities, the coordination among the communities has not been fully considered in its planning and configuration. Therefore, this paper proposes a coordinated configuration strategy for MES planning based on capacity-energy-information sharing. First, analysing the capacity, energy and information sharing mechanisms among communities, an improved energy hub (EH) model and hierarchical planning framework for MES is built. Moreover, a bilevel configuration model that coordinates the planning and operation stages is developed to design a MES, which is guided by the information sharing of communities. While the upper level model makes the optimal quantity and capacity configuration plan of communities with consideration of capacity sharing, the lower level model optimizes the best operation economy considering energy interactions in MES scheduling. Finally, a case study is carried out and simulation results show that, compared with the planning approaches in the reference cases, the proposed strategy contributes to a decrease in the MES planning costs and exhibits better performances in jointly considering the planning economy, robustness, carbon emissions and user benefits.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	0360-5442
Date of First Compliant Deposit:	28 June 2023
Date of Acceptance:	29 April 2023
Last Modified:	08 Nov 2024 17:45
URI:	https://orca.cardiff.ac.uk/id/eprint/160039

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