
Adaptive directional overcurrent relay coordination using ant colony optimisation
Author(s) -
Shih Meng Yen,
Castillo Salazar Carlos Alberto,
Conde Enríquez Arturo
Publication year - 2015
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.2015.0394
Subject(s) - overcurrent , relay , sensitivity (control systems) , electric power system , computer science , ant colony , topology (electrical circuits) , genetic algorithm , network topology , ant colony optimization algorithms , control theory (sociology) , mathematical optimization , power (physics) , engineering , mathematics , electronic engineering , algorithm , computer network , artificial intelligence , current (fluid) , physics , quantum mechanics , electrical engineering , control (management)
The coordination of directional overcurrent relays is most commonly studied based on a fixed network topology within an interconnected power system. Due to its complexity and non‐linearity, the relay coordination is formulated as an optimisation problem. Distribution systems often suffer consequences due to the dynamic changes of network topology and operation of elements. Such changes are for example the inputs and outputs of generators, lines and loads. The consequences are reduction of sensitivity and selectivity of relays. The principal objective of this study is to coordinate the directional overcurrent relays based on adaptive protection scheme. The secondary objective is to present the formulation of ant colony algorithm and a comparison of it with the genetic algorithm.