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author:

Liu, J. (Liu, J..) [1] | Zhu, Z. (Zhu, Z..) [2] (Scholars:朱振山) | Wen, B. (Wen, B..) [3] (Scholars:温步瀛)

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Abstract:

In the current research landscape,there lacks a systematic deployment mechanism for new emergency resources such as electric vehicle(EV)from user side. A post-disaster power supply restoration strategy that considers the fuzzy assessment of vehicle-to-grid(V2G) potential and the coordinated scheduling of mobile energy storage is proposed to address the above issues. Under the premise of limited fixed dispatchable energy,V2G is added to the coordinated scheduling process including the active division of distribution network islands and the spatio-temporal transfer of electric energy by mobile energy storage,so as to establish the energy connection between islands and ensure the continuity and stability of power supply. Considering subjective and objective influencing factors,the fuzzy model is used to evaluate the EV response potential,in order to guide EVs to participate in power supply restoration and improve the utilization rate of schedulable capacity. Combined with the operation constraints of the distribution network,a post-disaster restoration model is established with the goal of minimizing the power failure loss and restoration resource scheduling cost,and maximizing the profit of electric vehicle aggregation,taking into account the interests of the grid side,the electric vehicle aggregation and users,and reducing the loss of post-disaster power failure. The evaluation indicators are set up to verify the effectiveness and economy of the proposed strategy in a simulation example. © 2024 Electric Power Automation Equipment Press. All rights reserved.

Keyword:

distribution network reconfiguration electric vehicles fuzzy reasoning mobile energy storage power supply restoration of distribution network vehicle-to-grid

Community:

  • [ 1 ] [Liu J.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Zhu Z.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Wen B.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Wen B.]Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou, 350108, China

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Source :

电力自动化设备

ISSN: 1006-6047

Year: 2024

Issue: 9

Volume: 44

Page: 89-97

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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