A Smart Home Energy Management Strategy based on Demand Side Management

被引：5

作者：

Iqbal, Zafar ^{[1
]}

Javaid, Nadeem ^{[2
]}

Khan, Mobushir Riaz ^{[1
]}

Khan, Farman Ali ^{[3
]}

Khan, Zahoor Ali ^{[4
,5
]}

Qasim, Umar ^{[6
]}

机构：

[1] Pir Mehr Ali Shah Arid Agr Univ, Rawalpind 46000, Pakistan

[2] COMSATS Inst Informat Technol, Islamabad 44000, Pakistan

[3] COMSATS Inst Informat Technol, Attock 43600, Pakistan

[4] Dalhousie Univ, Fac Engn, Halifax, NS B3J 4R2, Canada

[5] Higher Coll Technol, Fujairah 4114, U Arab Emirates

[6] Univ Alberta, Edmonton, AB T6G 2J8, Canada

来源：

IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS IEEE AINA 2016 | 2016年

关键词：

Demand Side Management; Microgrid; Distributed Energy Resources; Smartgrid; Appliance scheduling;

D O I：

10.1109/AINA.2016.162

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we propose an ECG optimization model for a smart home based on DSM. The proposed model is an efficient SHEM strategy. The model is proposed keeping in view the minimization of energy consumption,energy consumption cost and energy generation cost. The model is based on efficient scheduling of appliances and an ECG optimization algorithm is proposed. We are using and optimizing energy from two energy sources namely lceg and lcd which are also known as macrogrid and microgrid respectively. The problem is solved as cost optimization problem using genetic algorithm and mathematically formulated using binary MNKP. The simulation results show that our ECG model efficiently reduces the cost of energy consumption, energy generation and energy consumption utilization.

引用

下载

页码：858 / 862

页数：5

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