Interval optimization‐based scheduling of interlinked power, gas, heat, and hydrogen systems

Nasiri, Nima, Sadeghi Yazdankhah, Ahmad, Mirzaei, Mohammad Amin, Loni, Abdolah, Mohammadi‐Ivatloo, Behnam, Zare, Kazem and Marzband, Mousa (2021) Interval optimization‐based scheduling of interlinked power, gas, heat, and hydrogen systems. IET Renewable Power Generation, 15 (6). 1214-1226-1226. ISSN 1752-1416

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Official URL: https://doi.org/10.1049/rpg2.12101

Abstract

The combined heat and power (CHP) plant is one of the emerging technologies of gas‐fired units, which plays an important role in reducing environmental pollutants and delivering high energy efficiency. Moreover, the hydrogen energy storage (HES) system with extra power storage from wind turbine via power to hydrogen technology allows the injection of stored energy into the power grid by reverse hydrogen to power services, offsetting in this way the uncertainty of wind power. Consequently, simultaneous usage of CHP and HES units not only makes the maximum use of wind power distribution but also increases flexibility and reduces the operating costs of the entire network. Therefore, this paper proposes an interval optimization technique for managing the uncertainty of wind power generation in the integrated electricity and natural gas (NG) networks considering CHP–HES. Moreover, to enhance the flexibility of the NG network, a linearized Taylor series‐based model is proposed for modelling linepack of gas pipelines in the proposed scheduling framework that is formulated mixed‐integer linear programming and solved using the Cplex solver. The obtained results indicate that the simultaneous use of CHP–HES in the day‐ahead scheduling reduces the operating cost and increases the flexibility of the whole network.

Item Type: Article
Subjects: F300 Physics
H600 Electronic and Electrical Engineering
H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 04 Mar 2021 09:29
Last Modified: 31 May 2021 14:38
URI: http://nrl.northumbria.ac.uk/id/eprint/45612

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