Earticle

초록

영어

Advances in the development of electric vehicles along with policy incentives will see a wider uptake of this technology in the transport sector in the coming years. However, the widespread adoption of electric vehicles will add a substantial energy load to power grids. As a result, many technical problems related to the impact of this technology on the power grid need to be addressed, especially the management and allocation of the energy to the plug-in hybrid electric vehicles (PHEVs), electric vehicles (PEVs). In this paper, we formulated the optimal power allocation to PHEVs/PEVs for the PHEVs/PEVs charging stations scheduling problem as a nonlinear resource allocation continuous problem. We used pegging algorithm to solve the optimal power allocation to the PHEVs/PEVs. A mathematical framework for the objective function (i.e., minimizing the average depth of discharge (DoD) at the next time step) was also given. The authors characterized the performance of optimal power allocation to PHEVs/PEVs problem and pegging algorithm using MATLAB simulation, and compared it with other charging methods.

목차

Abstract
 1. Introduction
 2. Problem Formulation
  2.1. Battery Charging Process
  2.2. Objective Function
  2.3. System Constrains
  2.4. Structure of Optimal Policy
  2.5. Finding Optimal Policy Algorithm
  2.6. Computational Procedure
 3. Numerical Analysis
  3.1. Equally Allocation Method
  3.2. First Come, First Serve Strategy
  3.3. Data and Results Analysis
 4. Conclusion
 Appendix
 References

키워드

저자

• Do Tuan Khanh [ Systems Engineering Institute, School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China, Hung Yen University of Technology and Education, Hung Yen, Vietnam ]
• Feng Gao [ Systems Engineering Institute, School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China ]
• Tran Son Ninh [ Management science and engineering department, School of Management, Xi’an Jiaotong University, Xi’an, China ]

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