Earticle

초록

영어

This paper proposes a multi-agent technology to energy management of the distributed generations in a micro-grid (MG) system. An introduction and analysis of the distributed intelligent multi-agent technology are presented, including its architecture and operation mechanism. Then, the objective function about minimizing the operating cost and environment losses taking in electricity trading is given. An implementation of Central Force Optimization (CFO) utilizing variable initial probes and decision space adaptation is presented, and Compare it to particle swarm optimization (PSO) method. The daily load forecast of electric power system is presented. The simulation results demonstrate that the proposed multi-agent technology is successfully monitored, controlled and operated for the energy management of the distributed generations in micro-grid system.

목차

Abstract
 1. Introduction
 2. Multi-Agent System (MAS)
 3. Proposed Bidding Function and Objective Function
  3.1. Bidding Function
  3.2. Objective Function
  3.3. Objective Function’s Constraints
  3.4. Constrained Objective Function Is Converted
 4. Central Force Optimization
 5. Short-Term Load Forecasting Algorithm
 6. Simulation
  6.1. The Daily Load Forecast
  6.2. Simulation Results in Island
  6.3. Simulation Results in Connect Power Grid
 7. Conclusion
 Acknowledgements
 References

키워드

저자

• Xingbei Jia [ Institute of Electrical Engineering, Yanshan University, Qinhuangdao City 066004, China ]
• Chunxia Dou [ Institute of Electrical Engineering, Yanshan University, Qinhuangdao City 066004, China ]

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