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Enhanced System Architecture for Smart Home Energy Management System Using Knapsack Algorithm with Integration of Solar Photovoltaic Energy Source

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Abstract

To overcome energy shortage, renewable energy resources are being used and in view of smart home energy management interconnectivity of renewable energy source and electric utility is the key issue. In this work, a method was proposed to integrate solar photovoltaic-based energy sources for a domestic consumer with efficient load management using a smart home energy management system (SHEMS). The SHEMS offers users the balance electric utility load cost curve by shifting load for the peak time period to off-peak time and solar photovoltaic source. Load shifting or scheduling of home appliances was done using the Knapsack algorithm. The knapsack problem is a problem in the combinational optimization field to find the maximum number of elements having maximum profit with a weight capacity equal to sack capacity. Our results show that the performance of SHEMS was enhanced with the integration of solar photovoltaic (PV) in the proposed system setup. The evaluated result was also compared with the already proposed system, and it was found that the efficiency of the proposed system is above 16% that is better than the efficiency of an already evaluated system.

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REFERENCES

  1. Chou, J.-S. and Truong, N.-S., Cloud forecasting system for monitoring and alerting of energy use by home appliances, Appl. Energy, 2019, vol. 249, pp. 166–177. https://doi.org/10.1016/j.apenergy.2019.04.063

    Article  Google Scholar 

  2. Liu, Y., Yang, C., Jiang, L., Xie, S., and Zhang, Y., Intelligent edge computing for IoT-based energy management in smart cities, IEEE Network, 2019, vol. 33, no. 22, pp. 111–117. https://doi.org/10.1109/MNET.2019.1800254

    Article  Google Scholar 

  3. Makkiabadi, M., Hoseinzadeh, S., Mohammadi, M., Nowdeh, S.A., Bayati, S., Jafaraghaei, U., Mirkiai, S.M., and Assad, M.E.H., Energy feasibility of hybrid PV/wind systems with electricity generation assessment under Iran environment, Appl. Sol. Energy, 2020, vol. 56, pp. 517–525. https://doi.org/10.3103/S0003701X20060079

    Article  Google Scholar 

  4. Hoseinzadeh, S., Ghasemi, M.H., and Heyns, S., Application of hybrid systems in solution of low power generation at hot seasons for micro hydro systems, Renewable Energy, 2020, vol. 160, pp. 323–332. https://doi.org/10.1016/j.renene.2020.06.149

    Article  Google Scholar 

  5. Hoseinzadeh, S., Hadi Zakeri, M., Shirkhani, A., and Chamkha, A.J., Analysis of energy consumption improvements of a zero-energy building in a humid mountainous area, J. Renewable Sustainable Energy, 2019, vol. 11, id. 015103. https://doi.org/10.1063/1.5046512

  6. Yousef Nezhad, M.E. and Hoseinzadeh, S., Mathematical modelling and simulation of a solar water heater for an aviculture unit using MATLAB/SIMULINK, J. Renewable Sustainable Energy, 2017, vol. 9, id. 063702. https://doi.org/10.1063/1.5010828

  7. Hoseinzadeh, S. and Azadi, R., Simulation and optimization of a solar-assisted heating and cooling system for a house in Northern of Iran, J. Renewable Sustainable Energy, 2017, vol. 9, id. 045101. https://doi.org/10.1063/1.5000288

  8. Leiva, J., Palacios, A., Aguado, J.A., Smart metering trends, implications and necessities: A policy review, Renewable Sustainable Energy Rev., 2016, vol. 55, pp. 227–233. https://doi.org/10.1016/j.rser.2015.11.002

    Article  Google Scholar 

  9. Kim, J., Byun, J., Jeong, D., Choi, M., Kang, B., and Park, S., An IoT-based home energy management system over dynamic home area networks, Int. J. Distrib. Sens. Networks, (2015). https://doi.org/10.1155/2015/828023

  10. Gelazanskas, L. and Gamage, K.A.A., Demand side management in smart grid: A review and proposals for future direction, Sustainable Cities Soc., 2014, vol. 11, pp. 22–30. https://doi.org/10.1016/j.scs.2013.11.001

    Article  Google Scholar 

  11. Shareef, H., Ahmed, M.S., Mohamed, A., and Al Hassan, E., Review on home energy management system considering demand responses, smart technologies, and intelligent controllers, IEEE Access, 2018, vol. 6, pp. 24498–24509. https://doi.org/10.1109/ACCESS.2018.2831917

    Article  Google Scholar 

  12. Lo, C.-H. and Ansari, N., The progressive smart grid system from both power and communications aspects, IEEE Commun. Surv. Tutorials, 2011, vol. 13, pp. 799–821. https://doi.org/10.1109/SURV.2011.072811.00089

    Article  Google Scholar 

  13. Lobaccaro, G., Carlucci, S., and Löfström, E., A review of systems and technologies for smart homes and smart grids, Energies, 2016, vol. 9, p. 348. https://doi.org/10.3390/en9050348

    Article  Google Scholar 

  14. Khalil, F.A., Anwar, S., Asif, M., ul Haq, S., Ahmad, N., Ashraf, M., Kamran, M., Khan, A., and Arshad, M., Energy management strategy for integrating photovoltaic energy in AC microgrid, J. Renewable Sustainable Energy, 2018, vol. 10, id. 065102. https://doi.org/10.1063/1.5022507

  15. Tendayi Manditereza, P. and Bansal, R., Renewable distributed generation: The hidden challenges—A review from the protection perspective, Renewable Sustainable Energy Rev., 2016, vol. 58, pp. 1457–1465. https://doi.org/10.1016/j.rser.2015.12.276

    Article  Google Scholar 

  16. Javaid, N., Hafeez, G., Iqbal, S., Alrajeh, N., Alabed, M.S., and Guizani, M., Energy efficient integration of renewable energy sources in the smart grid for demand side management, IEEE Access, 2018, vol. 6, pp. 77077–77096. https://doi.org/10.1109/ACCESS.2018.2866461

    Article  Google Scholar 

  17. Bhati, N. and Kakran, S., Smart home energy management with integration of renewable energy, in 2018 Second Int. Conf. Intell. Comput. Control Syst., 2018. https://doi.org/10.1109/ICCONS.2018.8663246

  18. Lin, Y., Novel smart home system architecture facilitated with distributed and embedded flexible edge analytics in demand-side management, Int. Trans. Electr. Energy Syst., 2019, vol. 29, no. 6, pp. 1–21. https://doi.org/10.1002/2050-7038.12014

    Article  Google Scholar 

  19. Maniam, T.S., Majid, H.A., Esmail, B.A.F., and Ibrahim, M.Y., GSM based automated home application power consumption reading system, J. Electr. Power Electron. Syst., 2019, vol. 1, pp. 1–5.

    Google Scholar 

  20. Quan-Xi, L. and Gang, L., Design of remote automatic meter reading system based on ZigBee and GPRS, in Proc. Third Int. Symp. Comput. Sci. Comput. Technol., 2010, pp. 186–189.

  21. Baig, F., Mahmood, A., Javaid, N., Razzaq, S., Khan, N., and Saleem, Z., Smart home energy management system for monitoring and scheduling of home appliances using Zigbee, J. Basic Appl. Sci. Res., 2013, vol. 3, pp. 880–891.

    Google Scholar 

  22. Barnicha, F.E., Smart Home Energy Management System. Monitoring and Control of Appliances Using an Arduino Based Network in the Context of a Micro-Grid, Ifrane, Morocco: Al Akhawayn Univ., 2015.

    Google Scholar 

  23. Khan, A., Javaid, N., Ahmad, A., Akbar, M., Khan, Z.A., and Ilahi, M., A priority-induced demand side management system to mitigate rebound peaks using multiple knapsack, J. Ambient Intell. Humanized Comput., 2019, vol. 10, pp. 1655–1678. https://doi.org/10.1007/s12652-018-0761-z

    Article  Google Scholar 

  24. Qayyum, N., Amin, A., Jamil, U., and Mahmood, A., Optimization techniques for home energy management: a review, in 2019 2nd Int. Conf. Comput. Math. Eng. Technol., IEEE, 2019, pp. 1–7. https://doi.org/10.1109/ICOMET.2019.8673435

  25. Khattak, Y.H., smart energy management system for utility source and photovoltaic power system using FPGA and ZigBee, Am. J. Electr. Power Energy Syst., 2014, vol. 3, p. 86. https://doi.org/10.11648/j.epes.20140305.11

    Article  Google Scholar 

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Funding

This work was supported by the Ministry of Economy and Competitiveness (PID2019-107137RB-C21).

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Correspondence to Yousaf Hameed Khattak.

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Faheem Ahmed, Baig, F., Khattak, Y.H. et al. Enhanced System Architecture for Smart Home Energy Management System Using Knapsack Algorithm with Integration of Solar Photovoltaic Energy Source. Appl. Sol. Energy 57, 242–251 (2021). https://doi.org/10.3103/S0003701X21030026

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