Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Analytical Modeling of Disaster-induced Load Loss for Preventive Allocation of Mobile Power Sources in Urban Power Networks
Author:
Affiliation:

1.School of Electrical & Electronics Engineering, North China Electric Power University, Beijing 102206, China;2.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;3.The University of Tennessee, Knoxville TN 37996, USA

Fund Project:

This work was supported by National Natural Science Foundation of China (No. 52307094).

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    Abstract:

    Continuous power supply of urban power networks (UPNs) is quite essential for the public security of a city because the UPN acts as the basis for other infrastructure networks. In recent years, UPN is threatened by extreme weather events. An accurate modeling of load loss risk under extreme weather is quite essential for the preventive action of UPN. Considering the forecast intensity of a typhoon disaster, this paper proposes analytical modeling of disaster-induced load loss for preventive allocation of mobile power sources (MPSs) in UPNs. First, based on the topological structure and fragility model of overhead lines and substations, we establish an analytical load loss model of multi-voltage-level UPN to quantify the spatial distribution of disaster-induced load loss at the substation level. Second, according to the projected load loss distribution, a preventive allocation method of MPS is proposed, which makes the best use of MPS and dispatches the limited power supply to most vulnerable areas in the UPN. Finally, the proposed method is validated by the case study of a practical UPN in China.

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History
  • Received:August 22,2023
  • Revised:October 29,2023
  • Adopted:
  • Online: July 30,2024
  • Published: