Earticle

초록

영어

This paper analyzes the revenue of a microgrid employing the lightweight vehicle-to-grid energy trade coordinator, focusing on such parameters as seasonal rates, number of participating electric vehicles, stay time, and amount to sell. The heuristic method cuts down the vast search space for the complex optimization problem by by iteratively matching the time slot having the least available electricity. The analysis result, obtained from a real-life demand pattern, reveals that on the winter rate, 100 EVs can sell all of their energy, while for the 200-EV case, they can sell and double the revenue in 12 out of 20 days. Next, on the summer rate, in which the peak rate interval is extended, the revenue increases by 1.5 times. At the same time, the 200-EV case sometimes brings less benefit than the 100-EV case for the given parameter set. As the target brokering system responsively finds a near-optimal solution until a certian bound, it can be further scalable with a module-based distributed brokering mechanism.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Service Scenario
 4. Revenue Analysis
 5. Conclusions
 References

키워드

저자

• Junghoon Lee [ Dept. of Computer Science and Statistics, Jeju National University Republic of Korea ]
• Gyung-Leen Park [ Dept. of Computer Science and Statistics, Jeju National University Republic of Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605