Wang, Shengshi, Fang, Jiakun, Wu, Jianzhong ![]() Item availability restricted. |
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Abstract
This paper proposes an event-triggered security-constrained energy management scheme to accomplish digitalization and secure energy conservation in the emerging shared transmission systems for renewable fuels and refined oil (STS-RRs) during the energy transition. Specifically, a practical energy management model for STS-RRs, considering batch migration processes and multiple practical factors, is firstly proposed. Then, based on this model, the event-triggered optimal coordinated operation is introduced, leveraging on-site data measurements to achieve real-time energy management. In addition, a tailored coordination method is explored for optimal distributed dispatch of STS-RRs. To support secure operation, the nonlinear autoregressive exogenous network-based parameter estimator is also proposed, which adapts to the model and event-triggered operational methods with ultra-high accuracy. Synthetically, a digital twin-fusion smart energy supervision platform is implemented to simulate the actual system, to collect and store field data stably, to validate the proposed methodologies, and to evaluate the system efficiency. Simulations and field tests on real-world STS-RRs in South China are carried out, where secure operation is guaranteed. The results highlight a high fidelity of the digital twin, with practical modeling and extra-small mean absolute error for the proposed estimator, less than 0.045 MPa. Notably, the proposed scheme achieves a 3.37 % energy-saving rate in practice. This can lead to ten million kWh of electrical energy consumption reduction annually, equivalent to 6449.2 tons of carbon dioxide reduction for the studied STS-RRs.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Schools > Engineering |
Publisher: | Elsevier |
ISSN: | 0306-2619 |
Funders: | National Natural Science Foundation of china; Fundamental Research Funds and Central Universities; PipChina South China Compacy |
Date of First Compliant Deposit: | 9 June 2025 |
Date of Acceptance: | 11 March 2025 |
Last Modified: | 10 Jun 2025 13:45 |
URI: | https://orca.cardiff.ac.uk/id/eprint/178892 |
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