access icon free Score-based intelligent home energy management (HEM) algorithm for demand response applications and impact of HEM operation on customer comfort

A home energy management (HEM) system plays an important role for residential demand response (DR) applications in the smart grid environment. Its role includes the ability to manage end-use electrical energy (kWh) and demand (kW) based on utility signals, load priorities and customer preference. This study presents a score-based intelligent HEM algorithm for residential DR applications and the impact of the HEM system operation on customer comfort in various HEM decision-making intervals (i.e. 1, 5, 10 and 15 min) at various DR requirements. The proposed algorithm manages selected household loads according to customers’ preset comfort level settings and keeps the total household power consumption below a certain limit. Results indicate that the more stringent DR requirements lead to the higher level of customer comfort violations during a DR event. In addition, the longer HEM decision-making intervals may lead to the higher level of customer comfort violations.

Inspec keywords: home automation; power consumption; smart power grids; decision making; demand side management

Other keywords: household load; HEM decision-making interval; HEM operation impact; residential DR application; smart grid environment; household power consumption; residential demand response application; home energy management system; score-based intelligent HEM algorithm; customer comfort violation; end-use electrical energy

Subjects: Power system management, operation and economics

References

    1. 1)
      • 15. Ridder, F.D., Hommelberg, M., Peeters, E.: ‘Demand side integration: four potential business cases and an analysis of the 2020 situation’, Int. Trans. Electr. Energy Syst., 2011, 2011, 21, pp. 19021913.
    2. 2)
    3. 3)
      • 7. Piette, M.A., Motegi, D.N., Kiliccote, S., Linkugel, E.: ‘Automated demand response strategies and commissioning commercial building controls’. 14th National Conf. on Building Commissioning, CA, 2006.
    4. 4)
      • 6. Federal Energy Regulatory Commission: Assessment of Demand Response and Advanced Metering, February 2011. Available at: http://www.ferc.gov/legal/staff-reports/2010-dr-report.pdf.
    5. 5)
      • 20. RELOAD Database Documentation and Evaluation and Use in NEMS. Available at: http://www.onlocationinc.com/LoadShapesReload2001.pdf.
    6. 6)
    7. 7)
    8. 8)
    9. 9)
      • 3. Shao, S., Zhang, T., Pipattanasomporn, M., Rahman, S.: ‘Impact of TOU rates on distribution load shapes in a smart grid with PHEV penetration’. Proc. IEEE Transmission and Distribution Conf. and Exposition, 2010, pp. 16.
    10. 10)
      • 21. Conventional Storage Water Heaters. Available at: http://www.energysavers.gov/your_home/water_heating/index.cfm/mytopic=12980.
    11. 11)
    12. 12)
    13. 13)
      • 1. U.S. Energy Information Administration: International Energy Outlook 2011 (IEO2011), September 2011. Available at: http://38.96.246.204/forecasts/ieo/pdf/0484(2011).pdf.
    14. 14)
    15. 15)
    16. 16)
    17. 17)
      • 9. Han, J., Choi, C.S., Park, W.K., Lee, I.: ‘Green Home Energy Management System through comparison of energy usage between the same kinds of home appliances’. 15th IEEE Int. Symp. Consumer Electronics (ISCE), 2011, pp. 14.
    18. 18)
    19. 19)
      • 19. Median and Average Square Feet of Floor Area in New Single-Family Houses Completed by Location. Available at: http://www.census.gov/const/C25Ann/sftotalmedavgsqft.pdf.
    20. 20)
      • 18. Pipattanasomporn, M., Kuzlu, M., Rahman, S.: ‘Demand response implementation in a home area network: a conceptual hardware architecture’. Conf. Innovative Smart Grid Technologies (ISGT), 2012, pp. 16.
    21. 21)
      • 8. Li, J., Chung, J.Y., Xiao, J.J., Hong, W., Boutaba, R.: ‘On the design and implementation of a home energy management system’. 16th IEEE Int. Symp. Wireless and Pervasive Computing (ISWPC), 2011, pp. 16.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2014.0206
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