Multi-objective design of multi-stage fuzzy stabilizer using modified Honey-Bee mating optimization

Author

Shayeghi, Hossein ; Moradzadeh, Mohammad ; Ghasemi, Abdorasoul ; Vandevelde, Lieven

Author_Institution

Tech. Eng. Dept., Univ. of Mohaghegh Ardabili, Ardabil, Iran

fYear

2014

fDate

17-19 Oct. 2014

Firstpage

769

Lastpage

772

Abstract

This study proposes a new Multi-Stage Fuzzy Stabilizer (MSFS) in order to damp low-frequency oscillations in multi-machine power systems. The proposed MSFS is tuned by Modified Honey-Bee Mating Optimization (MHBMO) method which improves the local and global exploration of the standard HBMO method by changing the queen´s speed reduction coefficient with a new parameter adjustment process. The objective functions are defined as time-domain and eigenvalue-based functions which are optimized by the MHBMO method. The obtained results on New England 10-machine 39-bus test system show the good performance of the suggested MHBMO-tuned MSFS.

Keywords

eigenvalues and eigenfunctions; evolutionary computation; fuzzy set theory; power system stability; velocity control; voltage control; MHBMO method; MSFS; New England 10-machine 39-bus test system; eigenvalue-based function; low-frequency oscillation; modified honey-bee mating optimization; multimachine power systems; multiobjective design; multistage fuzzy stabilizer; objective functions; parameter adjustment process; speed reduction coefficient; time-domain function; Algorithm design and analysis; Generators; Linear programming; Optimization; Oscillators; Power system stability; Robustness; MHBMO; Multi-objective optimization; Multi-stage fuzzy stabilizer; Transient stability;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, Control and Computing (ICSTCC), 2014 18th International Conference

Conference_Location

Sinaia

Type

conf

DOI

10.1109/ICSTCC.2014.6982511

Filename

6982511