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.

引用

页数：6

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