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author:

Zhu, Z. (Zhu, Z..) [1] (Scholars:朱振山) | Liu, B. (Liu, B..) [2] | Guo, L. (Guo, L..) [3]

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EI Scopus PKU CSCD

Abstract:

The complementary and coordinated operation of comprehensive energy multi-microgrid groups belonging to different subjects is considered to be an effective means of cascade utilization and deep coupling between different energies, which is of great significance for the consumption of new energy and the realization of the goal of dual carbon. Firstly, considering the distant transportation of hydrogen energy and the demand-side carbon emission reduction, this paper establishes a comprehensive energy multi-microgrid system scheduling model considering the gas network hydrogen doping to further strengthen the coupling relationship between different energy sources. Secondly, a dynamic hydrogen price mechanism based on the time distribution of electric load and the level of new energy consumption is proposed to guide hydrogen fuel cell vehicles to charge in an orderly manner. While the demand for electricity is flattened, the users will also charge their vehicles more during the period of high curtailment. Then, by decoupling the comprehensive energy multi-microgrid model, the system is distributed to obtain the global optimal operation strategy by the regularized alternating direction multiplier algorithm with the adaptive step link. Finally, the analysis shows that the proposed dispatch strategy is able to increase the consumption of renewable energy by 81.48%, reduce the carbon emissions by 35.21%, and decrease the charging cost of hydrogen fuel cell vehicle users by 1.58% under the premise of regional autonomy. © 2023 Power System Technology Press. All rights reserved.

Keyword:

distributed optimization dynamic hydrogen valence gas network doped with hydrogen hydrogen fuel cell vehicles integrated energy multi-microgrid system

Community:

  • [ 1 ] [Zhu Z.]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 2 ] [Liu B.]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 3 ] [Guo L.]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China

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Source :

Power System Technology

ISSN: 1000-3673

CN: 11-2410/TM

Year: 2023

Issue: 12

Volume: 47

Page: 5036-5045

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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