VICINITY Platform-based Load Scheduling Method by Considering Smart Parking and Smart Appliance

被引：1

作者：

Guan, Yajuan ^{[1
]}

Feng, Wei ^{[1
]}

Palacios-Garcia, Emilio J. ^{[1
]}

Vasquez, Juan C. ^{[1
]}

Guerrero, Josep M. ^{[1
]}

机构：

[1] Aalborg Univ, Dept Energy, Aalborg, Denmark

来源：

2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS) | 2019年

基金：

欧盟地平线“2020”;

关键词：

load scheduling; smart parking; smart appliance; residential microgrid; VICINITY; CITIES; GRIDS;

D O I：

10.1109/DCOSS.2019.00062

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A VICINITY platform-based load scheduling method by considering the smart parking and household smart appliances for renewable energy resources integrated residential microgrids is proposed in this paper. The proposed method can shift the local loads and publish the vacant number of parking slot with a real-time electric vehicle charging price to VICINITY platform according to the renewable energy generation and the usage of the parking spaces to reduce energy cost and increase resident's revenue. The experimental platform-based real-life cross domain lab testing verifies the effectiveness of the proposed control approach.

引用

页码：248 / 254

页数：7

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