@inproceedings{104d5aedf1be44a4adb44ed2691a81a3,
title = "Peak shaving of an EV Aggregator Using Quadratic Programming",
abstract = "The paper proposes a method of peak shaving through control of EV Aggregator in industrial buildings. Peak shaving based on a heuristic algorithm which is not suitable in real field is expressed in a convex form to generate an EV optimum charge/discharge schedule, and a minimum peak is achieved by a linear search. It is implemented in quadratic programming in MATLAB Tool box to express peak shaving problem in convex form and binary search tree is used to minimize the peak. For validation of performance of the proposed method. Various load patterns of industrial buildings are considered. Simulation results show that it is possible to reduce electricity cost about 10% compared to EV.",
keywords = "Binary Search Tree, EV Aggregator, Peak Shaving, Quadratic Programming, V2G",
author = "Seo, {Min Gyu} and Kim, {Chung Hun} and Han, {Se Kyung}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 ; Conference date: 21-05-2019 Through 24-05-2019",
year = "2019",
month = may,
doi = "10.1109/ISGT-Asia.2019.8881072",
language = "English",
series = "2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2794--2798",
booktitle = "2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019",
address = "United States",
}
