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Optimal Scheduling of Electrical Energy Systems Using a Fluid Dynamic Analogy

Juanjuan Wang*, Yaya Wang, Junhui Liu, Jianbo Zheng, Hongfang Zhou
Xi’an Traffic Engineering Institute, Xi’an, 710300, China
* Corresponding Author: Juanjuan Wang. Email:
(This article belongs to this Special Issue: EFD and Heat Transfer III)

Fluid Dynamics & Materials Processing 2022, 18(3), 577-589. https://doi.org/10.32604/fdmp.2022.017594

Received 22 May 2021; Accepted 30 July 2021; Issue published 22 February 2022

Abstract

The electricity-gas transformation problem and related intrinsic mechanisms are considered. First, existing schemes for the optimization of electricity-gas integrated energy systems are analyzed through consideration of the relevant literature, and an Electricity Hub (EH) for electricity-gas coupling is proposed. Then, the distribution mechanism in the circuit of the considered electricity-gas integrated system is analyzed. Afterward, a mathematical model for the natural gas pipeline is elaborated according to the power relationship, a node power flow calculation method, and security requirements. Next, the coupling relationship between them is implemented, and dedicated simulations are carried out. Through experimental data, it is found that after 79 data iterations, the optimization results of power generation and gas purchase cost in the new system converge to $54,936 in total, which is consistent with the data obtained by an existing centralized optimization scheme. However, the new proposed optimization scheme is found to be more flexible and convenient.

Keywords

Spatial coupling; integrated energy; natural gas; system optimal scheduling

Cite This Article

Wang, J., Wang, Y., Liu, J., Zheng, J., Zhou, H. (2022). Optimal Scheduling of Electrical Energy Systems Using a Fluid Dynamic Analogy. FDMP-Fluid Dynamics & Materials Processing, 18(3), 577–589.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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