Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28465
Title: Permutation-based power system restoration in smart grid considering load prioritization
Authors: Hou, J
Xu, Z 
Dong, ZY
Wong, KP
Keywords: Load prioritization
Permutative scheduling
Power system restoration, smart grid
Quantum-inspired differential evolutionary algorithm
Restored load per unit time
Issue Date: 2014
Publisher: Taylor & Francis
Source: Electric power components and systems, 2014, v. 42, no. 41732, p. 361-371 How to cite?
Journal: Electric power components and systems 
Abstract: 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.
URI: http://hdl.handle.net/10397/28465
ISSN: 1532-5008
EISSN: 1532-5016
DOI: 10.1080/15325008.2013.862326
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