The amalgamation of SVR and ANFIS models with synchronized phasor measurements for on-line voltage stability assessment

The amalgamation of SVR and ANFIS models with synchronized phasor measurements for on-line voltage stability assessment

Show other versions (1)

This paper presents the application of support vector regression (SVR) and adaptive neuro-fuzzy inference system (ANFIS) models that are amalgamated with synchronized phasor measurements for on-line voltage stability assessment. As the performance of SVR model extremely depends on the good selection...

Full description

Bibliographic Details
Main Authors: Amroune, M. (Author), Bouktir, T. (Author), Musirin, I. (Author), Othman, M.M (Author)
Format: Article
Language:English
Published: MDPI AG 2017
Subjects:
Adaptive neuro fuzzy inference systems (ANFIS)
Adaptive neuro-fuzzy inference system
Ant lion optimizer
Electric load flow
Fuzzy inference
Fuzzy neural networks
Fuzzy systems
Mean square error
Metals
Optimizers
Phase measurement
Phasor measurement unit
Phasor Measurement Unit (PMUs)
Phasor measurement units
Soft computing
Statistical performance
Support vector regression
Support vector regression (SVR)
Synchronized phasor measurements
System stability
Voltage control
Voltage stability
Voltage stability margins
Online Access:View Fulltext in Publisher
View in Scopus

Internet

View Fulltext in Publisher
View in Scopus

Similar Items