Open AccessOptimum Short Circuit Current Limiter Deployment Using Immune-PSO Algorithm
Author(s) -
Lili Chen,
Guilan Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1894/1/012082
Subject(s) - limiter , particle swarm optimization , software deployment , fault current limiter , computer science , integer programming , nonlinear programming , algorithm , mathematical optimization , sensitivity (control systems) , fault (geology) , nonlinear system , current limiting , current (fluid) , engineering , electronic engineering , mathematics , electrical engineering , telecommunications , electric power system , power (physics) , physics , quantum mechanics , seismology , geology , operating system
The optimum of short circuit current limiter deployment (SCCLD) is a 0-1 mixed integer programming problem. It is non-continuous, non-convex and nonlinear. Ordinary mathematic optimization can hardly solve it. In this paper, the sensitivity factor was defined to choose better candidates for active current-limiting measure installations as to reduce bus fault currents. And the integrated measures deployment is solved by a discrete particle swarm optimization algorithm with immune (IA-DPSO). The results of IEEE 39-bus system in New England are provided to validate the possible applications of the proposed method.