Earticle

초록

영어

Optimal reactive power flow (OPRF) reduces power system losses and provides better system voltage control by adjusting the reactive power control variables. It has significant influence on economic and secure operation of power systems. In this article, an improved biogeography-based optimization algorithm based on local search strategy (ILSBBO) is presented for solving optimal reactive power flow. The proposed method integrates local search strategy and selection operation of differential evolution (DE) with migration operator in original BBO to improve the efficiency of migration and overcome the premature convergence in BBO algorithm. It has been applied to standard IEEE 30-bus and IEEE 118-bus test systems, and the comparison results show that the proposed approach is feasible and efficient.

목차

Abstract
 1. Introduction
 2. ORPF Problem Formulation
 3. Overview of BBO and ILSBBO
  3.1 BBO Algorithm
  3.2 DELSS
  3.3 ILSBBO
 4. ILSBBO Implementation in ORPF Problem
 5. Simulation Results
  5.1 Description of IEEE 30-bus Test System and Simulation Results
  5.2. IEEE 118-bus Test System and Simulation Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Jiangtao Cao [ School of Information and Control Engineering Liaoning Shihua University, Fushun, China, 113001 ]
• Fuli Wang [ School of Information and Control Engineering Liaoning Shihua University, Fushun, China, 113001 ]
• Ping Li [ School of Information and Control Engineering Liaoning Shihua University, Fushun, China, 113001 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605