Development of Home Energy Management Scheme for a Smart Grid Community

被引:18
|
作者
Rashid, Md Mamun Ur [1 ,2 ]
Granelli, Fabrizio [1 ]
Hossain, Md Alamgir [3 ,4 ]
Alam, Md Shafiul [5 ]
Al-Ismail, Fahad Saleh [5 ]
Karmaker, Ashish Kumar [4 ]
Rahaman, Md Mijanur [4 ]
机构
[1] Univ Trento, Dept Informat Engn & Comp Sci, I-38122 Trento, Italy
[2] Natl Inst Text Engn & Res NITER, Dept Elect & Elect Engn, Dhaka 1350, Bangladesh
[3] Univ New South Wales, Capabil Syst Ctr, Sch Engn & Informat Technol, Canberra, ACT 2612, Australia
[4] Dhaka Univ Engn & Technol DUET, Dept Elect & Elect Engn, Gazipur 1700, Bangladesh
[5] King Fahd Univ Petr & Minerals, KA Care Energy Res & Innovat Ctr, Dhahran 31261, Saudi Arabia
关键词
home energy management scheme (HEMS); smart grid; renewable energy sources (RESs); power sharing algorithm (PSA); residence energy management (REM); WIRELESS SENSOR NETWORKS; DEMAND RESPONSE; SYSTEMS; APPLIANCES; COST;
D O I
10.3390/en13174288
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The steady increase in energy demand for residential consumers requires an efficient energy management scheme. Utility organizations encourage household applicants to engage in residential energy management (REM) system. The utility's primary goal is to reduce system peak load demand while consumer intends to reduce electricity bills. The benefits of REM can be enhanced with renewable energy sources (RESs), backup battery storage system (BBSS), and optimal power-sharing strategies. This paper aims to reduce energy usages and monetary cost for smart grid communities with an efficient home energy management scheme (HEMS). Normally, the residential consumer deals with numerous smart home appliances that have various operating time priorities depending on consumer preferences. In this paper, a cost-efficient power-sharing technique is developed which works based on priorities of appliances' operating time. The home appliances are sorted on priority basis and the BBSS are charged and discharged based on the energy availability within the smart grid communities and real time energy pricing. The benefits of optimal power-sharing techniques with the RESs and BBSS are analyzed by taking three different scenarios which are simulated by C++ software package. Extensive case studies are carried out to validate the effectiveness of the proposed energy management scheme. It is demonstrated that the proposed method can save energy and reduce electricity cost up to 35% and 45% compared to the existing methods.
引用
收藏
页数:24
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