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Author:

Zhang, Zhenyu (Zhang, Zhenyu.) | Wang, Weizhou (Wang, Weizhou.) | Lyu, Jia (Lyu, Jia.) | Li, Yitong (Li, Yitong.) | Liu, Jun (Liu, Jun.)

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Abstract:

Utilizing the islanding operation ability of the renewable energy generators to restore as much power supply after faults, can not only increase the consumption of renewable energy, but also enhance the power supply reliability of the power system, thereby improve the resilience of the power system. This paper proposes a novel coordinated restoration model to optimize the islanding partition stage for a total or partial blackout system. Firstly the restoration principles of generators in the system restoration process after fault, are proposed in terms of factors that affect the restoration priority. An analytic hierarchy model is then proposed to determine the main generators for islands based on the principles. Secondly, an islanding model is established to divide the total or partial blackout system into optimal electricity supply islands with the main generators obtained as root nodes. The islanding optimization model is solved using an improved genetic algorithm. Finally, case studies are performed to verify the effectiveness of the proposed coordinated restoration model and solving method. © 2019 IEEE.

Keyword:

Distributed power generation Electric equipment protection Electric power system protection Energy policy Genetic algorithms Outages Renewable energy resources Restoration

Author Community:

  • [ 1 ] [Zhang, Zhenyu]Northwest Branch of State Grid Corporation of China, Xi'an, China
  • [ 2 ] [Wang, Weizhou]State Grid Gansu Electric Power Corporation, Lanzhou, China
  • [ 3 ] [Lyu, Jia]Xi'an Jiaotong University, Shaanxi Key Laboratory of Smart Grid, Xi'an, China
  • [ 4 ] [Li, Yitong]Northwest Branch of State Grid Corporation of China, Xi'an, China
  • [ 5 ] [Liu, Jun]Northwest Branch of State Grid Corporation of China, Xi'an, China

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Year: 2019

Page: 1667-1671

Language: English

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: 12

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