Earticle

초록

영어

Optimum active and reactive power dispatch is an inherent part of power system generation planning and it is the need of an hour for the electrical utilities and power engineers to dig this area in short and long term planning scenarios. Load demand requirements subjected to economic feasible solutions matching voltage profile, power demand, minimization of losses, voltage stability and improve the capacity of the system is the need of the hour. Optimization techniques based on evolutionary computing, artificial intelligence, search method finds their applications in the area of economic load dispatch planning to reach global optimal solution for this multi-decision, multi-objective combinatorial problem subjected to different constraints. In this paper, ant bee colony based algorithm has been proposed to solve economic dispatch problem. Unlike other heuristic algorithms, ABC utilizes search space as multi-step decision process. It possesses a flexible and well-balanced operator to enhance and adapt the global and fine tune local search to follow the minimum cost path in the search boundary. The suggested technique is tested on IEEE 25 bus system. Test results are compared with other techniques presented in literature.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Ant Bee Colony
 4. Economic Power Dispatch using Ant Bee Colony
 5. Simulation Results
 6. Conclusion
 7. 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 ]

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