An Efficient Scheduling of Power and Appliances Using Metaheuristic Optimization Technique

Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 8)


Nowadays, Energy become the most valued necessity. Energy crisis becomes a critical issue of this era. Energy demand is increasing day by day, due to which peak load creation occurs. In order to handle the critical situation of the energy crisis, many techniques and methods are implemented. This can be done by replacing the traditional grid with smart grid and scheduling of appliances at Demand Side Management (DSM). Our main focus is on load management and minimization of cost which can be done by load shifting from on peak hours to off peak hours. We have achieved objectives by using two meta-heuristic optimization techniques; Harmony Search Algorithm (HSA) and EarthWorm optimization Algorithm (EWA). Simulation results show that the approaches we adopted reduce the cost, reduce the Peak Average Ratio (PAR) by load shifting from on peak to off peak hours between the min and max interval with a low difference.


  1. 1.
    Zhu, Z., Tang, J., Lambotharan, S., Chin, W.H., Fan, Z.: A n integer linear programming based optimization for home demand-side management in smart grid. In: 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), pp. 1–5. IEEE (2012)Google Scholar
  2. 2.
    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
  3. 3.
    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(3), 1391–1400 (2013)CrossRefGoogle Scholar
  4. 4.
    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. Energies 10(3), 319 (2017)CrossRefGoogle Scholar
  5. 5.
    Rahim, S., Javaid, N., Ahmad, A., Khan, S.A., Khan, Z.A., Alrajeh, N., Qasim, U.: Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources. Energy Build. 129, 452–470 (2016)CrossRefGoogle Scholar
  6. 6.
    Ullah, I., Javaid, N., Khan, Z.A., Qasim, U., Khan, Z.A., Mehmood, S.A.: An incentive-based optimal energy consumption scheduling algorithm for residential user. Procedia Comput. Sci. 52, 851–885 (2015)CrossRefGoogle Scholar
  7. 7.
    Ma, K., Yao, T., Yang, J., Guan, X.: Residential power scheduling for demand response in smart grid. Int. J. Electr. Power Energy Syst. 78, 320–325 (2016)CrossRefGoogle Scholar
  8. 8.
    Ahmad, A., Alrajeh, N., Javaid, N., Khan, Z.A., Qasim, U., Rasheed, M.B.: An efficient power scheduling scheme for residential load management in smart homes (2015)Google Scholar
  9. 9.
    Razzaq, S., Zafar, R., Khan, N.A., Butt, A.R., Mahmood, A.: A novel Prosumer-Based Energy Sharing and Management (PESM) approach for cooperative Demand Side Management (DSM) in Smart Grid. Appl. Sci. 6, 275 (2016)CrossRefGoogle Scholar
  10. 10.
    Khan, M.A., Javaid, N., Mahmood, A., Khan, Z.A., Alrajeh, N.: A generic demand-side management model for smart grid. Int. J. Energy Res. 39(7), 954–964 (2015)CrossRefGoogle Scholar
  11. 11.
    Wang, G.-G., Suash, D., Coelho, L.D.S.: Earthworm optimization algorithm: a bio-inspired metaheuristic algorithm for global optimization problems. Int. J. Bio-Inspired Comput. 1(1/2), 14–31 (2015)Google Scholar
  12. 12.
    Energy Information Administration.
  13. 13.
    Logenthiran, T., Srinivasan, D., Shun, T.Z.: Demand side management in SG using heuristic optimization. IEEE Trans. Smart Grid 3(3), 1244–1252 (2012)CrossRefGoogle Scholar
  14. 14.
    Palensky, P., Dietrich, D.: Demand side management: demand response intelligent energy systems and smart loads. IEEE Trans. Industr. Inform. 7(3), 381–388 (2011)CrossRefGoogle Scholar
  15. 15.
    Gellings, C.W., Chamberlin, J.H.: Demand-Side Management, pp. 1–5. EPRI, Palo Alto (1988)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan

Personalised recommendations