Exploring potential gains of mobile sector-coupling energy systems in heavily constrained networks

Habibi, M., Vahidinasab, V. ORCID: 0000-0002-0779-8727, Mohammadi-Ivatloo, B., Aghaei, J. and Taylor, P., 2022. Exploring potential gains of mobile sector-coupling energy systems in heavily constrained networks. IEEE Transactions on Sustainable Energy. ISSN 1949-3029

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Abstract

The coincidence of high levels of variable, non-dispatchable generation from renewable energy sources (RESs) and congested electricity networks imposes significant constraint payments (CP) on electricity system operators (ESOs) which ultimately is charged to the customers. This paper is inspired by this challenge and proposes an integrated electricity, gas, and transportation energy system taking advantage of power-to-gas (P2G) facilities and electricity/gas storage devices to enhance operational efficiency. It proposes mobile gas storage systems (MGSs) that can store and carry liquid hydrogen or liquefied natural gas (LNG) to the load points or remote locations without access to the gas network. So, the green energy of RESs in the form of gases can be injected, transported, and reutilized in the natural gas network or stored in MGS facilities. Besides, the mobile electricity storage system (MES) can directly store the redundant electricity produced by RESs, and the railway transportation system carries both the MESs and MGSs to the load point of electrical and gas systems. The proposed model reflects CP to wind in the marketing phase and considers incentives for the hydrogen-burning generators. Also, a stochastic platform is employed to capture the inherent uncertainties in the predicted values of the load and RESs’ generation. The model is formulated as a mixed-integer second-order cone programming problem and tested on an IEEE 118-bus system integrated with a 14-node gas network and a railway system. The result shows that employing the multi-vector energy system (MVES) elements reduces the total operational cost by 47%, and the CP to wind is reduced by 99.8% by absorbing almost the whole green energy of wind farms while relieving congestion in the electrical grid.

Item Type: Journal article
Publication Title: IEEE Transactions on Sustainable Energy
Creators: Habibi, M., Vahidinasab, V., Mohammadi-Ivatloo, B., Aghaei, J. and Taylor, P.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 13 June 2022
ISSN: 1949-3029
Identifiers:
NumberType
10.1109/tste.2022.3182871DOI
1553250Other
Rights: © 2022 IEEE. Open Access. Under a Creative Commons License. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 16 Jun 2022 09:38
Last Modified: 16 Jun 2022 09:38
URI: http://irep.ntu.ac.uk/id/eprint/46454

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