Decision Making on Load Management for Plug-in Hybrid Electric Vehicle in Smart Grid

被引：0

作者：

Chowdhuri, Sumana ^{[1
]}

Mukherjee, Abhik ^{[2
]}

机构：

[1] Univ Calcutta, Dept Appl Phys, Kolkata, India

[2] IIEST, CST Dept, Sibpur, India

来源：

2017 IEEE CALCUTTA CONFERENCE (CALCON) | 2017年

关键词：

Aggregator; Curve fitting; Demand side management; Load Scheduling; Optimal Integration;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Decision regarding the choice of aggregator for plugging in electric hybrid vehicles (PHEV) is challenging in several respects. This work introduces the concept of a best fit load line maintained by the aggregators and estimated by the plug-in vehicles based on communication regarding the plug-in status of other such vehicles. It is conceptually argued that the decision to send request to a potential aggregator should be governed by the matching between the slopes of the actual and estimated load lines of the aggregators. Simulation results based on uniform probability distribution are presented to explain the concept.

引用

页码：288 / 291

页数：4

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