Earticle

초록

영어

This paper presents the use of a novel evolutionary algorithm called Biogeography-based optimization (BBO) for the solution of the optimal power flow problem. The objective is to minimize the total fuel cost of generation and environmental pollution caused by fossil based thermal generating units and also maintain an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, shunt capacitors/reactors and power flow of transmission lines. BBO searches for the global optimum mainly through two steps: Migration and Mutation. In the present work, BBO has been applied to solve the optimal power flow problems on IEEE 30-bus test system with six generating units to test the effectiveness of the proposed method. Satisfactory results obtained from the proposed method were compared to conventional and evolutionary optimization methods.

목차

Abstract
 1. Introduction
 2. Problem Formulation
  2.1. The objective function
  2.2. The total objective function
  2.3. The equality and inequality constraints
 3. BBO for Optimal Power Flow
  3.1. Biogeography-based optimization (BBO)
  3.2. BBO for optimal power flow
 4. Application study
 5. Conclusion
 References

키워드

저자

• Ouafa Herbadji [ Dep. of Electrical Engineering, University of Setif 1 Setif, Algeria ]
• Linda Slimani [ Dep. of Electrical Engineering, University of Setif 1 Setif, Algeria ]
• Tarek Bouktir [ Dep. of Electrical Engineering, University of Setif 1 Setif, Algeria ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605