TY - JOUR
T1 - Permutation-based power system restoration in smart grid considering load prioritization
AU - Hou, J.
AU - Xu, Z.
AU - Dong, Z.
AU - Wong, Kitpo
PY - 2014
Y1 - 2014
N2 - 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. © 2014 Copyright Taylor and Francis Group, LLC.
AB - 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. © 2014 Copyright Taylor and Francis Group, LLC.
U2 - 10.1080/15325008.2013.862326
DO - 10.1080/15325008.2013.862326
M3 - Article
SN - 1532-5008
VL - 42
SP - 361
EP - 371
JO - Electric Power Components and Systems
JF - Electric Power Components and Systems
IS - 3-4
ER -
