Permutation-based power system restoration in smart grid considering load prioritization

Jia Hou, Zhao Xu, Zhao Yang Dong, Kit Po Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

24 Citations (Scopus)


In the smart grid environment, a power system restoration plan with flexibility is needed to improve reliability and efficiency in an automated way. Traditional system restoration methods based on fixed time intervals may not meet the requirement. This article proposes a new permutation-based model for power system restoration within an optimized flexible duration considering available generator capability and load prioritization. By utilizing this new model, power system restoration is formulated as a permutation-based combinatorial optimization problem to maximize the restored load per unit time. Finally an action-by-action flexible time schedule is obtained for generator startup. A novel quantum-inspired evolutionary algorithm, called the quantum-inspired differential evolutionary algorithm, has been applied to solve this problem due its to high population diversity and fast convergence. The effectiveness of the proposed restoration approach has been validated using IEEE 39- and 57-bus systems.
Original languageEnglish
Pages (from-to)361-371
Number of pages11
JournalElectric Power Components and Systems
Issue number3-4
Publication statusPublished - 12 Mar 2014


  • load prioritization
  • permutative scheduling
  • power system restoration, smart grid
  • quantum-inspired differential evolutionary algorithm
  • restored load per unit time

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Electrical and Electronic Engineering


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