Wang, Shengshi, Huang, Danji, Fang, Jiakun, Ai, Xiaomeng, Cui, Shichang, Li, Miao, Yan, Ge, Mei, Kun, Li, Sen, Liu, Qicong and Li, Hao
2025.
Towards continuous‐time safe energy management in shared renewables and refined oil transmission systems.
Energy Internet
2
, e12024.
10.1049/ein2.12024
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Abstract
This paper investigates the safe energy management of emerging shared renewables and refined oil transmission systems (SRROTSs) during the energy transition. Specifically, a continuous‐time energy management model that considers the SRROTSs' multi‐product sequential transmission characteristics is proposed to guide safe and efficient system operation. This model is also convenient for on‐site dispatchers to operate. Correspondingly, a solver‐free physics‐informed particle swarm optimisation (PI‐PSO) algorithm is tailored, utilising physical rules to regulate particle mutation and adapted to solve the proposed model, thereby enhancing the optimality and stability of the solution. Case studies on real‐world SRROTSs are utilised to validate the proposed model and PI‐PSO algorithm, which are expected to be generalised to other pipeline transmission systems. Especially, the PI‐PSO algorithm achieves a 25.6% energy reduction compared to the original PSO algorithm, although a trade‐off between improving the objective value and the number of iterations needed for convergence is observed.
Item Type: | Article |
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Date Type: | Published Online |
Status: | Published |
Schools: | Schools > Engineering |
Additional Information: | License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by-nc-nd/4.0/, Start Date: 2025-04-15 |
Publisher: | Institution of Engineering and Technology (IET) |
ISSN: | 2995-5610 |
Date of First Compliant Deposit: | 6 May 2025 |
Date of Acceptance: | 28 January 2025 |
Last Modified: | 06 May 2025 12:00 |
URI: | https://orca.cardiff.ac.uk/id/eprint/178081 |
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