An IoT Platform-based Multi-objective Energy Management System for Residential Microgrids

被引：4

作者：

Guan, Yajuan ^{[1
]}

Feng, Wei ^{[1
]}

Wu, Yanpeng ^{[1
]}

Vasquez, Juan C. ^{[1
]}

Guerrero, Josep M. ^{[1
]}

机构：

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

来源：

2020 IEEE 9TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC2020-ECCE ASIA) | 2020年

基金：

欧盟地平线“2020”;

关键词：

residential microgrid; energy management system; living quality; IoT Platform; VICINITY platform;

D O I：

10.1109/IPEMC-ECCEAsia48364.2020.9368001

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：

An IoT Platform-based multi-objective energy management system of smart appliance scheduling by considering the energy cost and residents living quality for renewable energy resources integrated residential microgrids is proposed in this paper. A simplified thermal energy model for a residential house is developed to estimate the indoor temperature. The support vector machine method is used to predict solar/wind energy generation and outdoor temperature with limited historical data. Furthermore, a particle swarm optimization-based multi-objective rolling optimization process is presented to balance the energy cost and indoor temperature to maintain the indoor temperature within the comfort level with the lowest energy cost. The simulation and experimental results verify the effectiveness of the proposed approach.

引用

页码：3107 / 3112

页数：6

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