Performance Analysis Methods in Smart Grids: An Overview
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Published:
Feb 8, 2018
Keywords:
Performance analysis Renewable energy sources Reliability Smart grid Stability Smart metering
Main Article Content
Abstract
This paper presents an overview of the performance analysis methods available for the Smart Grid (SG). Increased energy demand, volatile energy costs, uncertain power generation from the renewable energy resources (RERs), electric vehicles, and environmental concerns are coming together to change the nature of the traditional power grid. Many utility companies are now moving towards the smart metering and the Smart Grid solutions to address these challenges. Smart Grid is inclusive of advance tools, latest communication technologies and storage devices, which makes the Smart Grid vulnerable and complex. This paper aims to review the performance analysis of Smart Grid. It also presents various models of the Smart Grid performance indices. It presents the methods available for stability, reliability and resilience assessment in Smart Grid. It also describes the implementation approach using the real time tools and techniques.
Article Details
How to Cite
Salkuti, S. R. (2018). Performance Analysis Methods in Smart Grids: An Overview. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 16(2), 21–29. https://doi.org/10.37936/ecti-eec.2018162.171335
Section
Electrical Power Systems
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References
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[2] J.S. Vardakas, N. Zorba and C.V. Verikoukis, "Performance evaluation of power demand scheduling scenarios in a smart grid environment," Appl. Energy, vol. 142, pp. 164-178, Mar. 2015.
[3] J.S. Vardakas, N. Zorba, C. Skianis and C.V. Verikoukis, "Performance Analysis of M2M Communication Networks for QoS-Differentiated Smart Grid Applications," IEEE Globecom Workshops, San Diego, CA, pp. 1-6, 2015.
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[5] A. Ghouari, C. Hamouda and A. Chaghi, "Performances Analysis of Grid connected PV system in the perspective of use in a smart house in Algeria," Int. Renewable Sustainable Energy Conference, Ouarzazate, pp. 521-524, 2013.
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[9] N. Kumar, S. Misra, J. Rodrigues, J.H. Lee, M.S. Obaidat and N. Chilamkurti, "Playing the Smart Grid Game: Performance Analysis of Intelligent Energy Harvesting and Trac Flow Forecasting
for Plug-In Electric Vehicles," IEEE Veh. Technology Mag., vol. 10, no. 4, pp. 81-92, Dec. 2015.
[10] S.N.A.U. Nambi, M. Vasirani, R.V. Prasad and K. Aberer, "Performance analysis of data processing architectures for the Smart Grid," IEEE PES Innovative Smart Grid Technologies, Europe, Istanbul, pp. 1-6, 2014.
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[13] D. Bian, M. Kuzlu, M. Pipattanasomporn, S. Rahman and Y. Wu, "Real-time co-simulation platform using OPAL-RT and OPNET for analyzing smart grid performance," IEEE Power Energy Soc. General Meeting, Denver, CO, 2015, pp. 1-5.
[14] Y. Kabalci, "A survey on smart metering and smart grid communication," Renewable Sustainable Energy Reviews, vol. 57, pp. 302-318, May 2016.
[15] M. Manbachi, H. Farhangi, A. Palizban, S. Arzanpour, "Smart grid adaptive volt-VAR optimization: Challenges for sustainable future grids," Sustainable Cities Soc., vol. 28, pp. 242-255, Jan. 2017.
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[19] S.N.A.U. Nambi, M. Vasirani, R.V. Prasad and K. Aberer, "Performance analysis of data processing architectures for the Smart Grid," IEEE PES Innovative Smart Grid Technologies, Europe, Istanbul, 2014, pp. 1-6.
[20] S.N.A.U. Nambi, M. Vasirani, R.V. Prasad and K. Aberer, "A cost-benefit analysis of data processing architectures for the smart grid," WiMobCity'14 Proc. 2014 ACM int. workshop Wireless mobile technologies smart cities, Philadelphia, Pennsylvania, USA, Aug. 2014, pp. 91-100.
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[22] K. Sharma and L.M. Saini, "Performance analysis of smart metering for smart grid: An overview," Renewable Sustainable Energy Reviews, vol. 49, pp. 720-735, 2015.
[23] J. Zheng, D.W. Gao and L. Lin, "Smart Meters in Smart Grid: An Overview," IEEE Green Technologies Conference, Denver, CO, 2013, pp. 57-64.
[24] Kangombe Joseph Makasa, Computational approaches for voltage stability monitoring and control in power systems, [Online] available: http://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=3455&context=doctoral_dissertations
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[28] A. B. M. Nasiruzzaman and H. R. Pota, "Transient stability assessment of smart power system using complex networks framework," IEEE Power and Energy Soc. General Meeting, San Diego, CA, 2011, pp. 1-7.
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[33] M. Tanrioven, Q.H. Wu, D.R. Turner, C. Kocatepe and J. Wang, "A new approach to realtime reliability analysis of transmission system using fuzzy Markov model," Int. J. Elect. Power Energy Syst., vol. 26, no. 10, pp. 821-832, Dec. 2004.
[34] [Online] available: http://www.sgiclearinghouse.org/Resources?q=node/2778&lb=1
[35] [Online] available: http://www.nerc.com/files/SGTF_Report_Final_posted.pdf
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[37] [Online] available: https://www.uvm.edu/ phines/publications/2014/hines_2014_terms.pdf
[38] [Online] available: https://www.usenix.org/system/files/conference/cset12/cset12-final13.pdf
[39] [Online] available: http://aura.abdn.ac.uk/bitstream/handle/2164/4919/EJSR_134_1_09.pdf?sequence=1
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[41] M.T. Turan and E. Gokalp, "Relay coordination analysis and protection solutions for smart grid distribution systems," Turkish J. Elect. Eng. Comput. Sci., vol. 26, no. 10, pp. 821-832, Dec. 2004.
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[43] Kush, Nishchal, Clark, Andrew J., and Foo, Ernest, "Smart Grid Test Bed Design and Implementation," Report, Dec. 2010.
[44] D. Bian, M. Kuzlu, M. Pipattanasomporn, S. Rahman, Y. Wu, "Real-time co-simulation platform using OPAL-RT and OPNET for analyzing smart grid performance," IEEE Power Energy Soc. General Meeting, Denver, CO, 2015, pp. 1-5.