Earticle

초록

영어

This research presents novel Particle swarm optimization inspired by gravitational based search method to solve active power dispatch problem in electrical power system planning. The proposed PSO utilizes the operator of social thinking coupled with search capacity of gravity inspired algorithm to formulate and develop technique for active power dispatch problem to satisfy power demand requirements. Optimal scheduling of generators and system constraints to match load demand and losses is successfully done with proposed method. Total operating cost is minimized satisfying various bounds of system with proposed method. Exploration and convergence efficiency are evaluated to checklist the computational efficiency and robustness of the proposed technique. The suggested technique is tested and evaluated on different test systems comprises three, five, six test systems. Test results are compared with other techniques presented in literature .Investigations shows promising results which further benchmark the effectiveness of proposed method to solve complex optimization non linear problems.

목차

Abstract
 1. Introduction
 2. Problem Design
 3. Gravity Local Search Particle Swarm Optimization
 4. Comparative Algorithm Numerical Setting
 5. EPD Formulation using GLSPSO
 6. Test Systems
  6.1 Three-Generating Unit System [11]
  6.2 Six-Generating Unit System [11]
  6.3 IEEE 25 Bus System with Five Generating Units System [4, 5, 6]
 7. Results and discussions
 8. Conclusion
 9. Future Scope
 References

키워드

저자

• Navpreet Singh Tung [ Assistant Professor, Department of Electrical Engineering, Bhutta Group of Institutions, Ludhiana, India ]
• Sandeep Chakravorty [ Dean and Professor, Department of Electrical Engineering, Baddi University, Baddi, India ]
• Harkamal Singh Bhullar [ Assistant Professor, Department of Electrical Engineering Baba Kuma Singh Engineering College,Amritsar,India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605