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A strategy for intentional islanding of distribution networks based on node electrical relevance and artificial bee colony algorithm
Author(s) -
Zhang Haiyan,
Peng Minfang,
Wu Hui,
Zhu Liang,
Che Hongwei,
Liu Zhengyi
Publication year - 2018
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22501
Subject(s) - islanding , artificial bee colony algorithm , controllability , computer science , robustness (evolution) , electric power system , electrical network , relevance (law) , node (physics) , mathematical optimization , reliability engineering , renewable energy , algorithm , power (physics) , engineering , artificial intelligence , distributed generation , electrical engineering , mathematics , biochemistry , chemistry , physics , structural engineering , quantum mechanics , law , political science , gene
Intentional islanding is an effective approach to avoid large‐area blackouts and minimize outage losses through making full use of renewable energy sources. This paper proposes a novel strategy based on node electrical relevance and artificial bee colony algorithm. The node electrical relevance is defined with equivalent electrical distance and traditional line weight, which can reflect the electrical characteristics of power systems, differentiating the proposed strategy from most existing strategies which are based on graph theory. The artificial bee colony (ABC) algorithm employed has fewer control parameters, strong robustness, and high accuracy; therefore, more loads can be incorporated into islands and restored. The constraints of load priority, load controllability, line capacity, and stable operation requirements of power systems are considered to tally with the actual distribution networks. The strategy is tested using the IEEE 69‐bus distribution system and compared with other strategies from the literature. The simulation results demonstrate that the proposed strategy is more feasible and efficient. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.