Optimal power quality monitor placement in power systems using an adaptive quantum-inspired binary gravitational search algorithm

•An adaptive QBGSA search algorithm to solve the optimal PQ monitor placement is proposed.•The topological monitor reach area is introduced to generalize the PQ monitor placement method.•A multi-objective function is created to deal with the monitor overlapping and sag severity.•Adaptive QBGSA gives...

Full description

Saved in:

Bibliographic Details
Published in:	International journal of electrical power & energy systems Vol. 57; pp. 404 - 413
Main Authors:	Ibrahim, Ahmad Asrul, Mohamed, Azah, Shareef, Hussain
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.05.2014 Elsevier
Subjects:	Adaptive algorithms Adaptive systems Algorithms Applied sciences Artificial immune system Binary systems Disturbances. Regulation. Protection Electric power generation Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Miscellaneous Monitors Operation. Load control. Reliability Optimization Power electronics, power supplies Power networks and lines Power quality monitor Quantum-inspired binary gravitational search algorithm Search algorithms Topological monitor reach area Voltage sag assessment Power quality monitor Quantum-inspired binary gravitational search algorithm Artificial immune system Voltage sag assessment Topological monitor reach area Performance evaluation Positioning Adaptive system Multiobjective programming Power system stability Flexibility Adaptive method Convergence speed Voltage stability Convergence rate Energy quality Voltage dip Observability Distribution network Electric fault Power electronics Particle swarm optimization Standards Search algorithm Electrical network Genetic algorithm Objective function Service quality Comparative study
ISSN:	0142-0615, 1879-3517
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!