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Network architecture for demand response implementation in smart grid

  • A. JainEmail author
  • A. Mani
  • A. S. Siddiqui
Original Article
  • 35 Downloads

Abstract

The most important function of a power system grid is to feed the demand at all times. However, power demand is very dynamic in nature, which is levying more and more stress on the network at peak load times. Also, power generation is limited, therefore to have a continuous power supply, the load has to be prioritized so that demand and generation equality can be maintained by slashing excess lower priority load for the time being. For the same, the demand response strategy has been utilized that offers lower electrical consumption when the power system network is overburdened. A multi-layered architecture is proposed for implementing demand response wherein the utility’s concern for maximum load balance as well as consumers’ concern of having a continuous supply of power to priority load is catered at the same time. Thus, this paper is about defining the priority of load and designing of information payload about demand, which would be communicated to the server at a load dispatch center from load point switches and vice versa. This paper also proposes a system architecture for implementing demand response and design of payload and their effect on the calculation of throughput, latency and maximum permissible nodes at different levels of power flow. For actualizing such scenarios, the information of different parameters at the load end needs to be conveyed to the utility. Cisco Packet Tracer is utilized to show the flow of information.

Keywords

Communication technologies Data rate Demand response Latency Network architecture Payload Throughput 

Notes

References

  1. Ahmed M, Kim Y-C (2014) Hierarchical communication network architectures for offshore wind power farms. Energies 7(5):3420–3437CrossRefGoogle Scholar
  2. Aravinthan V, Karimi B, Namboodiri V, Jewell W (2011) Wireless communication for smart grid applications at distribution level—feasibility and requirements. In: IEEE power and energy society general meeting, pp 1–8Google Scholar
  3. Bhanu SV, Chandrasekaran RM, Balakrishnan V (2010) Effective bandwidth utilization in IEEE802.11 for VOIP. arXiv preprint arXiv:1005.0952
  4. Brahman F, Honarmand M, Jadid S (2015) Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system. Energy Build 90:65–75CrossRefGoogle Scholar
  5. Bui V-H, Hussain A, Kim H-M (2018) A multiagent-based hierarchical energy management strategy for multi-microgrids considering adjustable power and demand response. IEEE Trans Smart Grid 9(2):1323–1333CrossRefGoogle Scholar
  6. Choudhury S, Gibson JD (2007) Payload length and rate adaptation for multimedia communications in wireless LANs. IEEE J Sel Areas Commun 25(4):796–807CrossRefGoogle Scholar
  7. Colak I, Sagiroglu S, Fulli G, Yesilbudak M, Covrig C-F (2016) A survey on the critical issues in smart grid technologies. Renew Sustain Energy Rev 54:396–405CrossRefGoogle Scholar
  8. Deng R, Yang Z, Chow M-Y, Chen J (2015) A survey on demand response in smart grids: mathematical models and approaches. IEEE Trans Ind Inform 11(3):570–582CrossRefGoogle Scholar
  9. Dong Y, Kezunovic M (2011) Communication infrastructure for emerging transmission-level smart grid applications. In: IEEE power and energy society general meeting, pp 1–7Google Scholar
  10. Emmanuel M, Rayudu R (2016) Communication technologies for smart grid applications: a survey. J Netw Comput Appl 74:133–148CrossRefGoogle Scholar
  11. Fan Z, Kulkarni P, Gormus S, Efthymiou C, Kalogridis G, Sooriyabandara M, Zhu Z, Lambotharan S, Chin W (2012) Smart grid communications: overview of research challenges, solutions, and standardization activities. IEEE Commun Surv Tutor 99:1–8Google Scholar
  12. Galli S, Scaglione A, Wang Z (2010) Power line communications and the smart grid. In: IEEE international conference smart grid communications (SmartGridComm), pp 303–308Google Scholar
  13. Gerbec D, Gasperic S, Smon I, Gubina F (2002) A methodology to classify distribution load profiles. In: Transmission and distribution conference and exhibition 2002: Asia Pacific. IEEE/PES, vol 2. IEEE, pp 848–851Google Scholar
  14. Gharavi H, Hu B (2017) Wireless infrastructure M2 M network for distributed power grid monitoring. IEEE Netw 31(5):122–128CrossRefGoogle Scholar
  15. Good N, Ellis KA, Mancarella P (2017) Review and classification of barriers and enablers of demand response in the smart grid. Renew Sustain Energy Rev 72:57–72CrossRefGoogle Scholar
  16. Gungor VC, Sahin D, Kocak T, Ergut S, Buccella C, Cecati C, Hancke GP (2011) Smart grid technologies: communication technologies and standards. IEEE Trans Ind Inform 7(4):529–539CrossRefGoogle Scholar
  17. Jain A, Mani A, Siddiqui AS (2017) A novel architecture to achieve power balance by responsive demand. In: 2017 7th International conference on power systems (ICPS). IEEE, pp 634–639Google Scholar
  18. Kabalci Y (2016) A survey on smart metering and smart grid communication. Renew Sustain Energy Rev 57:302–318CrossRefGoogle Scholar
  19. Kansal P, Bose A (2012) Bandwidth and latency requirements for smart transmission grid applications. IEEE Trans Smart Grid 3(3):1344–1352CrossRefGoogle Scholar
  20. Khan RH, Khan JY (2012) Wide area PMU communication over a WiMAX network in the smart grid. In: 2012 IEEE third international conference on smart grid communications (SmartGridComm). IEEE, pp 187–192Google Scholar
  21. Kuzlu M, Pipattanasomporn M, Rahman S (2014) Communication network requirements for major smart grid applications in HAN, NAN and WAN. Comput Netw 67:74–88CrossRefGoogle Scholar
  22. Lim H, Ko J, Lee S, Kim J, Kim M, Shon T (2013) Security architecture model for smart grid communication systems. In: 2013 International conference on IT convergence and security (ICITCS). IEEE, pp 1–4Google Scholar
  23. Mani A, Jain A (2016) “Method and system of real-time IOT based control to meet power demand balance by responsive demand” filed a patentGoogle Scholar
  24. McGrath MJ, Scanaill CN (2013) Key sensor technology components: hardware and software overview. In: Pepper J, Douglas S, Shea K (eds) Sensor technologies. Apress, BerkeleyCrossRefGoogle Scholar
  25. Nagesh DYR, Vamshi Krishna JV, Tulasiram SS (2010) A real-time architecture for smart energy management. In: 2010 Innovative smart grid technologies (ISGT). IEEE, pp 1–4Google Scholar
  26. Paterakis NG, Erdinç O, Catalão JPS (2017) An overview of demand response: key-elements and international experience. Renew Sustain Energy Rev 69:871–891CrossRefGoogle Scholar
  27. Pinomaa A, Ahola J, Kosonen A (2011) Power-line communication-based network architecture for LVDC distribution system. In: 2011 IEEE international symposium on power line communications and its applications. IEEE, pp 358–363Google Scholar
  28. Pipattanasomporn M, Kuzlu M, Rahman S (2012) Demand response implementation in a home area network: a conceptual hardware architecture. In: 2012 IEEE PES innovative smart grid technologies (ISGT). IEEE, pp 1–8Google Scholar
  29. Qdr, Q. J. U. D. E (2006) DOE Report. Benefits of demand response in electricity markets and recommendations for achieving them. Technical report. US Dept. Energy, Washington, DC, USA. https://www.energy.gov/sites/prod/files/oeprod/DocumentsandMedia/DOE_Benefits_of_Demand_Response_in_Electricity_Markets_and_Recommendations_for_Achieving_Them_Report_to_Congress.pdf. Accessed Sept 2019
  30. Sankarasubramaniam Y, Akyildiz IF, McLaughlin SW (2003) Energy efficiency based packet size optimization in wireless sensor networks. In: Proceedings of the first IEEE international workshop on sensor network protocols and applications, 2003. IEEE, pp 1–8Google Scholar
  31. Saponara S, Bacchillone T (2012) Network architecture, security issues, and hardware implementation of a home area network for smart grid. J Comput Netw Commun 2012:1–19.  https://doi.org/10.1155/2012/534512 CrossRefGoogle Scholar
  32. Seewald MG (2014) Scalable network architecture based on IP-Multicast for power system networks. In: ISGT 2014. IEEE, pp 1–5Google Scholar
  33. Sharma K, Saini LM (2017) Power-line communications for smart grid: progress, challenges, opportunities and status. Renew Sustain Energy Rev 67:704–751CrossRefGoogle Scholar
  34. Shoreh MH, Siano P, Shafie-khah M, Loia V, Catalão JPS (2016) A survey of industrial applications of demand response. Electr Power Syst Res 141:31–49CrossRefGoogle Scholar
  35. Siano P (2014) Demand response and smart grids—a survey. Renew Sustain Energy Rev 30:461–478CrossRefGoogle Scholar
  36. Soufiane Z, Abdeslam E-N, Slimane BAH (2018) A new communication architecture model for smart grid. Int J Comput Sci Inf Secur (IJCSIS) 16(7):129–143Google Scholar
  37. US Department of Energy (2013) The smart grid: an introduction. https://www.energy.gov/sites/prod/files/oeprod/DocumentsandMedia/DOE_SG_Book_Single_Pages%281%29.pdf. Accessed Jan 2019
  38. Vardakas JS, Zorba N, Verikoukis CV (2015) A survey on demand response programs in smart grids: pricing methods and optimization algorithms. IEEE Commun Surv Tutor 17(1):152–178CrossRefGoogle Scholar
  39. Wietfeld C, Georg H, Groening S, Lewandowski C, Mueller C, Schmutzler J (2011) Wireless M2 M communication networks for smart grid applications. In: Wireless conference 2011—sustainable wireless technologies (European wireless), pp 1–7Google Scholar
  40. Yaqoob I, Hashem IAT, Mehmood Y, Gani A, Mokhtar S, Guizani S (2017) Enabling communication technologies for smart cities. IEEE Commun Mag 55(1):112–120CrossRefGoogle Scholar
  41. Yu M, Hong SH (2016) A real-time demand-response algorithm for smart grids: a stackelberg game approach. IEEE Trans Smart Grid 7(2):879–888Google Scholar
  42. Zakariazadeh A, Jadid S, Siano P (2014) Smart microgrid energy and reserve scheduling with demand response using stochastic optimization. Int J Electr Power Energy Syst 63:523–533CrossRefGoogle Scholar

Copyright information

© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2019

Authors and Affiliations

  1. 1.Amity University Uttar PradeshNoidaIndia
  2. 2.Jamia Milia IslamiaNew DelhiIndia

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