@ARTICLE{Wang_Yi_Dynamic_2018,
 author={Wang, Yi and Ma, Xiu and Wang, Feihong and Hou, Xingzhe and Sun, Hongliang and Zheng, Ke},
 volume={vol. 67},
 number={No 3},
 journal={Archives of Electrical Engineering},
 pages={641–654},
 howpublished={online},
 year={2018},
 publisher={Polish Academy of Sciences},
 abstract={A large amount of electric vehicles (EVs) charging load will bring significant impact to the power system. An appropriate resource allocation strategy is required for securing the power system safety and satisfying EVs charging demand. This paper proposed a power coordination allocation strategy of EVs’ in distribution systems. The strategy divides the allocation into two stages. The first stage is based on scores assigned to EVs through an entropy method, whereas the second stage allocates energy according to EV’s state of charge. The charging power is delivered in order to maximize EV users’ satisfaction and fairness without violation of grid constraints. Simulation on a typical power-limited residential distribution network proves the effectiveness of the strategy. The analysis re- sults indicate that compared with traditional methods, EVs, which have higher charging requirement and shorter available time will get more energy delivered than others. The root- mean-square-error (RMSE) and standard-deviation (SD) results prove the effectiveness of the methodology for improving the balance of power delivery.},
 type={Artykuły / Articles},
 title={Dynamic electric vehicles charging load allocation strategy for residential area},
 URL={http://ochroma.man.poznan.pl/Content/107880/PDF/AEE-67-3-2018-10.09_art_13.pdf},
 doi={10.24425/123669},
 keywords={electric vehicles, charging power management, allocation strategy, priority assessment},
}