Open AccessMulti‐objective transmission line de‐icing outage optimal scheduling framework
Author(s) -
Hou Yushen,
Wang Xiuli,
Zhang Yue
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.0404
Subject(s) - icing , electric power transmission , icing conditions , scheduling (production processes) , computer science , pareto principle , reliability (semiconductor) , sorting , mathematical optimization , transmission line , electric power system , genetic algorithm , reliability engineering , power (physics) , engineering , meteorology , mathematics , algorithm , telecommunications , physics , quantum mechanics , electrical engineering
Due to the severe damages to transmission systems caused by ice storms, reasonable de‐icing work becomes pressingly significant for power systems. This study proposes a transmission line de‐icing outage optimal scheduling framework based on DC de‐icing method. First, an ice thickness prediction model and a time‐varying forced outage rate model are introduced to delineate the ice accretion and the reliability of lines. Then, a multi‐objective de‐icing outage optimal problem is formulated to minimise the ice thickness peak value of icing lines and the expected energy not supplied of the system during the decision period. Finally, non‐dominated sorting genetic algorithm‐II optimisation approach is used to determine the Pareto optimal solutions, and a decision making method is utilised to choose the final de‐icing scheme. Simulation results on IEEE 24‐bus reliability tests system show the effectiveness of the proposed de‐icing strategy.