Mixed Integer Nonlinear Programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations

被引：1
作者：
Shi, Y. [1 ]
Tuan, H. D. [1 ]
Savkin, Andrey V. [2 ]
机构：
[1] Univ Technol Sydney, Sch Elect & Data Engn, Sydney, NSW, Australia
[2] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW, Australia
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CONTROL, AND COMPUTING TECHNOLOGIES FOR SMART GRIDS (SMARTGRIDCOMM) | 2019年
关键词：
Smart grid; plug-in electric vehicles; bang-bang charging; online algorithm; mixed integer nonlinear programming; OPTIMIZATION; ENERGY;
D O I：
10.1109/smartgridcomm.2019.8909799
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The joint coordination of plug-in electric vehicles (PEVs) charging and grid power control is to minimize both PEVs' charging cost and energy generation cost in meeting both PEVs' power demands and power grid operational constraints. A bang-bang PEV charging strategy is adopted to exploit its simple online implementation, which requires computation of a mixed integer nonlinear programming problem (MINP) in binary variables of the PEV charging and continuous variables of the grid voltages. A novel solver for this challenging MINP is proposed. Its efficiency is shown by numerical simulations.
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收藏
页数：6
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