An Efficient Fog as-a-Power-Economy-Sharing Service

被引:8
作者
Bukhsh, Rasool [1 ]
Javaid, Nadeem [1 ]
Abbasi, Raza Abid [1 ]
Fatima, Aisha [1 ]
Akbar, Mariam [1 ]
Afzal, Muhammad Khalil [2 ]
Ishmanov, Farruh [3 ]
机构
[1] COMSATS Univ Islamabad, Dept Comp Sci, Islamabad 44000, Pakistan
[2] COMSATS Univ Islamabad, Dept Comp Sci, Wah Campus, Wah 47040, Pakistan
[3] Kwangwoon Univ, Dept Elect & Commun Engn, Seoul 01897, South Korea
关键词
Battery based energy storage system; unified energy storage system; power economy sharing; smart community; on-peak-load; off-peak-load; ENERGY MANAGEMENT-SYSTEM; OF-THE-ART; SMART HOME; DEMAND; TIME; TECHNOLOGIES; GENERATION; MICROGRIDS; REDUCTION; FRAMEWORK;
D O I
10.1109/ACCESS.2019.2924533
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cheap energy from the utility can be stored during off-peak time in batteries and utilized during on-peak time. However, energy storage more than future demand can degrade the system. The sharing of surplus stored energy within the community can reduce the energy consumption cost. A system of fetching surplus energy from storage systems of smart homes is indispensable to share within the community. In this paper, Fog-as-a-Power-Economy-Sharing service is proposed, which interconnects the distributed batteries based power and forms the unified energy storage system for a community. In a community, capacities of batteries storage, investment and power demand of every smart home are different. However, participants of the service share their battery based stored energy for social welfare following the no-profit-no-loss rule to form a unified energy storage system. When energy exhausted smart homes request for energy, the fog decides either power is supplied from the unified energy storage system or from the utility to reduce global energy cost for the community. In the paper, global cost (energy cost and cost of fogs' services) for twelve communities is analyzed, which is payable by smart homes in the communities. The results validate the significance of the proposed time efficient Fog-as-a-Power-Economy-Sharing service, which reduces global power cost and computing cost for each community.
引用
收藏
页码:185012 / 185027
页数:16
相关论文
共 45 条
[1]   Deploying Fog Computing in Industrial Internet of Things and Industry 4.0 [J].
Aazam, Mohammad ;
Zeadally, Sherali ;
Harras, Khaled A. .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (10) :4674-4682
[2]   Offloading in fog computing for IoT: Review, enabling technologies, and research opportunities [J].
Aazam, Mohammad ;
Zeadally, Sherali ;
Harras, Khaled A. .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 87 :278-289
[3]  
[Anonymous], 2017, ADV ENERGY SYSTEMS E
[4]   A Decision Support Tool for Building Integrated Renewable Energy Microgrids Connected to a Smart Grid [J].
Asaleye, Damilola A. ;
Breen, Michael ;
Murphy, Michael D. .
ENERGIES, 2017, 10 (11)
[5]   Towards Efficient Energy Management and Power Trading in a Residential Area via Integrating a Grid-Connected Microgrid [J].
Aslam, Sheraz ;
Javaid, Nadeem ;
Khan, Farman Ali ;
Alamri, Atif ;
Almogren, Ahmad ;
Abdul, Wadood .
SUSTAINABILITY, 2018, 10 (04)
[6]   Towards Efficient Resource Utilization Exploiting Collaboration between HPF and 5G Enabled Energy Management Controllers in Smart Homes [J].
Bakhsh, Rasool ;
Javaid, Nadeem ;
Fatima, Itrat ;
Khan, Majid Iqbal ;
Almejalli, Khaled. A. .
SUSTAINABILITY, 2018, 10 (10)
[7]   Community energy storage: A smart choice for the smart grid? [J].
Barbour, Edward ;
Parra, David ;
Awwad, Zeyad ;
Gonzalez, Marta C. .
APPLIED ENERGY, 2018, 212 :489-497
[8]  
Bukhsh R., 2018, P INT C CYB SEC COMP
[9]   Towards Fast Response, Reduced Processing and Balanced Load in Fog-Based Data-Driven Smart Grid [J].
Bukhsh, Rasool ;
Javaid, Nadeem ;
Ali Khan, Zahoor ;
Ishmanov, Farruh ;
Afzal, Muhammad Khalil ;
Wadud, Zahid .
ENERGIES, 2018, 11 (12)
[10]   Decentralized Neighborhood Energy Management With Coordinated Smart Home Energy Sharing [J].
Celik, Berk ;
Roche, Robin ;
Bouquain, David ;
Miraoui, Abdellatif .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (06) :6387-6397