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Performance Evaluation of An EDAbased Large-scale Plug-in Hybrid Electric Vehicle Charging Algorithm (2011)
| Venue: | IEEE Trans. Smart Grid, Special Issue on Transportation Electrification and Vehicle-to-Grid Application |
| Citations: | 15 - 2 self |
BibTeX
@ARTICLE{Su11performanceevaluation,
author = {Wencong Su and Student Member and Mo-yuen Chow},
title = {Performance Evaluation of An EDAbased Large-scale Plug-in Hybrid Electric Vehicle Charging Algorithm},
journal = {IEEE Trans. Smart Grid, Special Issue on Transportation Electrification and Vehicle-to-Grid Application},
year = {2011}
}
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Abstract
Abstract—The anticipation of a large penetration of plug-in hy-brid electric vehicles (PHEVs) into the market brings up many technical problems that need to be addressed. In the near future, a large number of PHEVs in our society will add a large-scale en-ergy load to our power grids, as well as add substantial energy resources that can be utilized. An emerging issue is that a large number of PHEVs simultaneously connected to the grid may pose a huge threat to the overall power system quality and stability. In this paper, the authors propose an algorithm for optimally man-aging a large number of PHEVs (e.g., 3000) charging at a mu-nicipal parking station. The authors used the estimation of distri-bution algorithm (EDA) to intelligently allocate electrical energy to the PHEVs connected to the grid. A mathematical framework for the objective function (i.e., maximizing the average state-of-charge at the next time step) is also given. The authors considered real-world constraints such as energy price, remaining battery ca-pacity, and remaining charging time. The authors also simulated the real-world parking deck scenarios according to the statistical analysis based on the transportation data. The authors character-ized the performance of EDA using a Matlab simulation, and com-pared it with other optimization techniques. Index Terms—Estimation of distribution algorithm (EDA), in-telligent energy management, performance evaluation, plug-in hy-brid electric vehicle (PHEV), smart grid. I.
Keyphrases
performance evaluation large number plug-in hy-brid electric vehicle near future huge threat real-world constraint electrical energy statistical analysis add substantial energy resource next time step objective function energy price overall power system quality optimization technique in-telligent energy management real-world parking deck scenario matlab simulation transportation data power grid battery ca-pacity large-scale en-ergy load many technical problem mathematical framework large penetration smart grid average state-of-charge distri-bution algorithm index term estimation distribution algorithm mu-nicipal parking station
