Earticle

초록

영어

In this paper, a new approach based on the Honey bee mating optimization (HBMO) technique is proposed to tune the parameters of the multi-machine power system stabilizers (PSSs). The honey- bee mating process has been considered as a typical swarm-based approach to optimization, in which the search algorithm is inspired by the process of real honey-bee mating. The PSSs parameters tuning problem is converted to an optimization problem with time domain- based objective function which is solved by a HBMO algorithm. To ensure the robustness of the proposed stabilizers, the design process takes a wide range of operating conditions into account. The performance of the newly designed PSSs is evaluated in a three -machine power system subjected to the different types of operating conditions in comparison with the genetic algorithm based PSSs. The effectiveness of the proposed technique is demonstrated through nonlinear time-domain simulation studies over a wide range of loading condition.

목차

Abstract
 1. Introduction
 2. Honey Bee Mating Optimization Algorithm
 3. Problem Statement
  3.1 Power system model
  3.2 PSS structure
  3.3 Objective function
 4. Case Study
  4.1 PSSs design using HBMO
  4.2 Nonlinear time-domain simulation
 5. Conclusions
 APPENDIX
 References

키워드

저자

• Ali Nazari [ Department of Electrical Engineering, Shahid Rajaee University, Tehran, Iran ]
• Amin Safari [ Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605