Home Energy Management in Smart Grid Using Bacterial Foraging and Strawberry Algorithm

  • Noreen Mushtaq
  • Muhammad Hassan Rahim
  • Rabiya Khalid
  • Samia Abid
  • Pamir
  • Sajawal ur Rehman Khan
  • Nadeem Javaid
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 12)

Abstract

The electricity demand from residential buildings is increasing gradually day by day. Home Energy Management Systems (HEMS) are used to meet this demand by using Demand Sides Management (DSM) to reduce the pressure on consumers and utility companies. In this paper, HEMS is facilitated by using different meta-heuristic scheduling techniques: The Strawberry Algorithm (SBA) and Bacterial Foraging Algorithm (BFA). The SBA is useful for every kind of optimization problem and helps in scheduling the electricity load. To compute the cost efficiently Time-of-Use (ToU) pricing scheme is used. Results illustrate that the cost is reduced efficiently along with Peak to Average Ratio (PAR).

Keywords

Home Energy Management Smart grid Demand Side Management 

References

  1. 1.
    Ma, J., Chen, H., Song, L., Li, Y.: Residential load scheduling in smart grid: a cost efficiency perspective. IEEE Trans. Smart Grid 7, 1949–3053 (2016)CrossRefGoogle Scholar
  2. 2.
    Javaid, N., Javaid, S., Abdul, W., Ahmed, I., Almogren, A., Alamri, A., Niaz, I.A.: A hybrid genetic wind driven heuristic optimization algorithm for demand side management in smart grid. Submitted to Energies, February 2017Google Scholar
  3. 3.
    Huang, Y., Tian, H., Wang, L.: Demand response for home energy management system. Int. J. Electr. Power Energy Syst. 73, 448–455 (2015)CrossRefGoogle Scholar
  4. 4.
    Zhou, Y.: The optimal home energy management strategy in smart grid. J. Renew. Sustain. Energy 8, 1941–7012 (2016)CrossRefGoogle Scholar
  5. 5.
    Adika, C.O., Wang, L.: Autonomous appliance scheduling for household energy management. IEEE Trans. Smart Grid 5, 673–682 (2014)CrossRefGoogle Scholar
  6. 6.
    Ozturk, Y., Senthilkumar, D., Kumar, S., Lee, G.: An intelligent home energy management system to improve demand response. IEEE Trans. Smart Grid 4, 694–701 (2013)CrossRefGoogle Scholar
  7. 7.
    Samadi, P., Wong, V.W.S., Schober, R.: Load scheduling and power trading in systems with high penetration of renewable energy resources. IEEE Trans. Smart Grid 7(4), 1802–1812 (2016)CrossRefGoogle Scholar
  8. 8.
    Chavali, P., Yang, P., Nehorai, A.: A distributed algorithm of appliance scheduling for home energy management system. IEEE Trans. Smart Grid 5, 1949–3053 (2014)CrossRefGoogle Scholar
  9. 9.
    Althaher, S., Mancarella, P., Mutale, J.: Automated demand response from home energy management system under dynamic pricing and power and comfort constraints. IEEE Trans. Smart Grid 6, 1949–3053 (2015)CrossRefGoogle Scholar
  10. 10.
    Zhao, Z., Lee, W.C., Shin, Y., Song, K.-B.: An optimal power scheduling method for demand response in home energy management system. IEEE Trans. Smart Grid 4, 1391–1400 (2013)CrossRefGoogle Scholar
  11. 11.
    Rahim, S., Javaid, N., Ahmad, A., Khan, S.A., Khan, Z.A., Alrajeh, N., Qasim, U.: Expioiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy resources. Energy Build. 129, 452–470 (2016)CrossRefGoogle Scholar
  12. 12.
    Lin, Y.-H., Tsai, M.-S.: An advanced energy management system facilitated by nonintrusive load monitoring with automated multiobjective power scheduling. IEEE Trans. Smart Grid 6, 1949–3053 (2016)Google Scholar
  13. 13.
    Ziming Z., Jie T., Lambotharan, S., Chin, W.H., Fan, Z.: An integer linear programming based optimization for home demand-side management in smart grid. In: Innovative Smart Grid Technologies (ISGT), vol. 78, pp. 1–5 (2012)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Noreen Mushtaq
    • 1
  • Muhammad Hassan Rahim
    • 1
  • Rabiya Khalid
    • 1
  • Samia Abid
    • 1
  • Pamir
    • 1
  • Sajawal ur Rehman Khan
    • 1
  • Nadeem Javaid
    • 1
  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan

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