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An Efficient Scheduling Using Meta Heuristic Algorithms for Home Demand-side Management in Smart Grid

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2017)

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

Abstract

Energy consumption demand is comparatively higher than available energy, new approaches are being discovered to fulfill energy demand. This problem can be solved by assimilating Demand Side Management (DSM) with Smart Grid (SG). In this work, we observe the working of Home Energy Management System (HEMS) by using three meta-heuristic techniques; Harmony Search Algorithm (HSA) and Firefly Algorithm (FA) and Bacterial Foraging Algorithm (BFA). Time Of Use (TOU) is used as a pricing signal for calculation of electricity bill. The main concern of this paper is to minimize cost, reduce Peak to Average Ratio (PAR), maximization of user comfort and load management. Load management can be done by shifting load from on-peak hours to off-peak hours. Simulation results show that implemented techniques successfully achieve the defined goals.

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References

  1. Zhu, Z., Tang, J., 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), 2012 IEEE PES, pp. 1–5. IEEE (2012)

    Google Scholar 

  2. Samadi, P., Wong, V.W., 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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  5. 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)

    Article  Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. Rasheed, M.B., Javaid, N., Awais, M., Khan, Z.A., Qasim, U., Alrajeh, N., Iqbal, Z., Javaid, Q.: Real time information based energy management using customer preferences and dynamic pricing in smart homes. Energies 9(7), 542 (2016)

    Article  Google Scholar 

  8. Mahmood, D., Javaid, N., Alrajeh, N., Khan, Z.A., Qasim, U., Ahmed, I., Ilahi, M.: Realistic scheduling mechanism for smart homes. Energies 9(3), 202 (2016)

    Article  Google Scholar 

  9. Rasheed, M.B., Javaid, N., Ahmad, A., Khan, Z.A., Qasim, U., Alrajeh, N.: An efficient power scheduling scheme for residential load management in smart homes. Appl. Sci. 5, 1134–1163 (2015)

    Article  Google Scholar 

  10. Liu, Y., Yuen, C., Yu, R., Zhang, Y., Xie, S.: Queuing-based energy consumption management for heterogeneous residential demands in Smart Grid. IEEE Trans. Smart Grid 7, 1650–1659 (2016)

    Article  Google Scholar 

  11. Li, C., Yu, X., Yu, W., Chen, G., Wang, J.: Efficient computation for sparse load shifting in Demand Side Management. IEEE Trans. Smart Grid 8(1), 250–261 (2017). doi:10.1109/TSG.2016.2521377

    Article  Google Scholar 

  12. 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, 954–964 (2015)

    Article  Google Scholar 

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Authors and Affiliations

  1. COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan

    Adnan Ishaq, Nasir Ayub, Arje Saba, Asad Ghafar, Basit Amin & Nadeem Javaid

Authors
  1. Adnan Ishaq
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  2. Nasir Ayub
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  3. Arje Saba
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  4. Asad Ghafar
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  5. Basit Amin
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  6. Nadeem Javaid
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

  1. Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, Ryerson University, Toronto, Ontario, Canada

    Isaac Woungang

  3. School of Business, UNSW Australia, Canberra, Aust Capital Terr, Australia

    Omar Khadeer Hussain

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Ishaq, A., Ayub, N., Saba, A., Ghafar, A., Amin, B., Javaid, N. (2018). An Efficient Scheduling Using Meta Heuristic Algorithms for Home Demand-side Management in Smart Grid. In: Barolli, L., Woungang, I., Hussain, O. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-65636-6_19

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  • DOI: https://doi.org/10.1007/978-3-319-65636-6_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65635-9

  • Online ISBN: 978-3-319-65636-6

  • eBook Packages: EngineeringEngineering (R0)

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