Smart Grid Leading to Demand Side Management: A Perspective in terms of Categorizations and Limitations

Authors:

Ali Raza,Sheeraz Ahmed,Zahid Farid,Najeeb ullah,Abdul Hannan,Junaid Ahmed Inam,

DOI NO:

https://doi.org/10.26782/jmcms.2019.02.00026

Keywords:

Smart Grid (SG),Demand Side Management (DSM),Peak-to Average Ratio (PAR),

Abstract

In order to fulfill all demands of the customers, related to energy, the capacity of the Grid is designed in such a way that, it satisfies not only the average power demand, but also the peak power demand. In this paper, Demand Side Management (DSM),programs which play a vital role in near future Smart Grid (SG) has been considered.DSM aims either at reducing or shifting consumption to shape users’ energy consumption profile. In the energy zone, the country is facing severe short fall from the last two decades, and hence effecting not only the economic growth, but also the industrial development. The main goal of DSM is usually to encourage the consumers to use less energy during peak hours or to move the time to use energy in the off-peak hours.

Refference:

I. Fang, Xi, SatyajayantMisra, GuoliangXue, and Dejun Yang. “Smart grid—The new and improved power grid: A survey.” IEEE communications surveys & tutorials 14, no. 4 (2012): 944-980.

II. Hussain, Hafiz Majid, NadeemJavaid, Sohail Iqbal, QadeerUlHasan, Khursheed Aurangzeb, and MusaedAlhussein. “An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid.” Energies 11, no. 1 (2018): 190.

III. Jacquot, Paulin, Olivier Beaude, StéphaneGaubert, and Nadia Oudjane. “Demand side management in the smart grid: an efficiency and fairness tradeoff.” In Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2017 IEEE PES, pp. 1-6.IEEE, 2017.

IV. Kim, Sungwook. “An adaptive smart grid management scheme based on the coopetition game model.” ETRI journal36, no. 1 (2014): 80-88.

V. Latifi, Milad, AzamKhalili, Amir Rastegarnia, SajadZandi, and Wael M. Bazzi. “A distributed algorithm fordemand-side management: Selling back to the grid.” Heliyon 3, no. 11 (2017): e00457.

VI. Liu, Yi, Chau Yuen, Shisheng Huang, NaveedUl Hassan, Xiumin Wang, and ShengliXie. “Peakto-average ratio constrained demand-side management with consumer’s preference in residential smart grid.” IEEE Journal of Selected Topics in Signal Processing 8, no. 6 (2014): 1084-1097.

VII. Longe, O. M., K. Ouahada, H. C. Ferreira, and S. Rimer. “Consumer preference electricity usage plan for demand side management in the smart grid.” SAIEE Africa Research Journal 108, no. 4 (2017): 174-183.

VIII. Longe, Omowunmi Mary, and KhmaiesOuahada. “Mitigating Household Energy Poverty through Energy Expenditure Affordability Algorithm in a Smart Grid.” Energies 11, no. 4 (2018): 947.

IX. Mahmood, Anzar, M. N. Ullah, S. Razzaq, Abdul Basit, U. Mustafa, M. Naeem, and NadeemJavaid. “A new scheme for demand side management in future smart grid networks.”ProcediaComputer Science 32 (2014): 477-484.

X. Safdarian, Amir, Mahmud Fotuhi-Firuzabad, and MattiLehtonen. “Optimal residential load managementin smart grids: A decentralized framework.” IEEE Transactions on Smart Grid 7, no. 4 (2016): 1836-1845.

XI. Touzene, Abderezak, Sultan Al Yahyai, and Amar Oukil. “Smart Grid Resources Optimization Using Service Oriented Middleware.” International Journal of Computer Applications in Technology (2018): 1.

XII. Ullah, M. N., NadeemJavaid, I. Khan, AnzarMahmood, and M. U. Farooq. “Residential energy consumption controlling techniques to enable autonomous demand side management in future smart grid communications.” In Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on, pp. 545-550. IEEE, 2013

XIII. Wijaya, Tri Kurniawan, Thanasis G. Papaioannou, Xin Liu, and Karl Aberer. “Effective consumption scheduling for demand-side management in the smart grid using non-uniform participation rate.” In Sustainable Internet and ICT for Sustainability (SustainIT), 2013, pp. 1-8. IEEE, 2013.

XIV. Yu, Mengmeng, and Seung Ho Hong. “A Real-Time Demand-Response Algorithm for Smart Grids: A Stackelberg Game Approach.” IEEE Trans. Smart Grid 7, no. 2 (2016): 879-888.

XV. Yu, Yixin, Yanli Liu, and Chao Qin. “Basicideas of the smart grid.” Engineering 1, no. 4 (2016): 405-408.

XVI. Zahoor, Saman, NadeemJavaid, Asif Khan, F. J. Muhammad, M. Zahid, and M. Guizani. “A cloud-fog-based smart grid model for efficient resource utilization.”In 14th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC-2018). 2018.

Ali Raza, Sheeraz Ahmed, Zahid Farid, Najeeb ullah, Abdul Hannan, Junaid Ahmed Inam View Download