A scenario of vehicle-to-grid implementation and its double-layer optimal charging strategy for minimizing load variance within regional smart grids

Jian, Linni1; Zhu, Xinyu1; Shao, Ziyun2; Niu, Shuangxia3; Chan, C. C.4

2014-02

10.1016/j.enconman.2013.11.007

ENERGY CONVERSION AND MANAGEMENT   影响因子和分区

0196-8904

1879-2227

As an emerging new electrical load, plug-in electric vehicles (PEVs)' impact on the power grid has drawn increasing attention worldwide. An optimal scenario is that by digging the potential of PEVs as a moveable energy storage device, they may not harm the power grid by, for example, triggering extreme surges in demand at rush hours, conversely, the large-scale penetration of PEVs could benefit the grid through flattening the power load curve, hence, increase the stability, security and operating economy of the grid. This has become a hot issue which is known as vehicle-to-grid (V2G) technology within the framework of smart grid. In this paper, a scenario of V2G implementation within regional smart grids is discussed. Then, the problem is mathematically formulated. It is essentially an optimization problem, and the objective is to minimize the overall load variance. With the increase of the scale of PEVs and charging posts involved, the computational complexity will become tremendously high. Therefore, a double-layer optimal charging (DLOC) strategy is proposed to solve this problem. The comparative study demonstrates that the proposed DLOC algorithm can effectively solve the problem of tremendously high computational complexity arising from the large-scaled PEVs and charging posts involved. (C) 2013 Elsevier Ltd. All rights reserved.

Electric vehicle Charging strategy Vehicle-to-grid Smart grid Load variance Regional grid

SCI ; EI

英语

第一 ; 通讯

Thermodynamics ; Energy & Fuels ; Mechanics

Thermodynamics ; Energy & Fuels ; Mechanics

WOS:000332136100056

PERGAMON-ELSEVIER SCIENCE LTD

20135117107923

Charging (batteries) ; Computational complexity ; Electric power system economics ; Electric power system interconnection ; Electric power transmission networks ; Electric vehicles ; Plug-in electric vehicles

Secondary Batteries:702.1.2 ; Electric Power Systems:706.1 ; Electric Power Transmission:706.1.1 ; Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1

ENGINEERING

Web of Science

1.South Univ Sci & Technol China, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
2.Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Guangdong, Peoples R China
3.Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
4.Univ Hong Kong, Dept Elect & Elect Engn, Pokfulam, Hong Kong, Peoples R China

Jian, Linni,Zhu, Xinyu,Shao, Ziyun,et al. A scenario of vehicle-to-grid implementation and its double-layer optimal charging strategy for minimizing load variance within regional smart grids[J]. ENERGY CONVERSION AND MANAGEMENT,2014,78:508-517.

Jian, Linni,Zhu, Xinyu,Shao, Ziyun,Niu, Shuangxia,&Chan, C. C..(2014).A scenario of vehicle-to-grid implementation and its double-layer optimal charging strategy for minimizing load variance within regional smart grids.ENERGY CONVERSION AND MANAGEMENT,78,508-517.

Jian, Linni,et al."A scenario of vehicle-to-grid implementation and its double-layer optimal charging strategy for minimizing load variance within regional smart grids".ENERGY CONVERSION AND MANAGEMENT 78(2014):508-517.