Earticle

초록

영어

It is one of the effective methods to improve the reliability of the distribution system by using looped network power supply. With the development of new energy technology, distributed generation has been more widely used. But a small power system named micro-grid which is assembled by the device such as distributed generation, energy storage device and controllable load in a certain operating rules catches the attention of people. It can operate in islanded mode with the power grid failure, which can greatly improve the reliability of the system. Traditional analytical method and Monte Carlo method are difficult to evaluate its reliability accurately. In this paper, a new artificial intelligence method based on Bayesian networks is used for the system reliability analysis and evaluation. The corresponding Bayesian networks are established for the reliability test bus 2 which containing looped network and the improve reliability test bus 6 which containing micro-grids separately. With the help of causal reasoning and diagnostic reasoning, the supply influence of different types of DG output intermittent, operation mode on loads are detected, the key factors which have an impact on important load power supply reliability are found out, which is the theoretical foundation for practical engineering decision, so as to improve system reliability, identify failures and make maintenance scheduling.

목차

Abstract
 1. Introduction
 2. The Establishment of the Bayesian Network for Distributed Generation
  2.1. The Overview of Bayesian Network
  2.2. Bayesian Network of Distribution System
  2.3. The Reliability Test System
 3. The Reliability Evaluation of the Distribution System Containing Micro-Grid
  3.1. The Reliability Model of the Distributed Generation
  3.2. Island Partition Algorithm of Micro-Grid
  3.3. The Reliability the Improved Reliability Test System
 4. Conclusion
 References

키워드

저자

• Gao Liai [ College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding, Hebei, China ]
• Zhou Yongjie [ College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding, Hebei, China ]
• Su Kun [ State Grid Baoding Electric Power Supply Company, Baoding, Hebei, China ]
• Hou Chenwei [ College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding, Hebei, China ]
• Huo Limin [ College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding, Hebei, China ] Corresponding Author

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