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Demand-Side Load Management Using Grey Wolf Optimization

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Smart Technologies for Power and Green Energy

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 443))

Abstract

Demand-Side Management (DSM) is one of the methods that tries to understand customer behaviour and put it into a strategy that maintains network stability. Recently, a large number of load scheduling algorithms were developed by various experts, however these methods were not providing accurate results because of their high complexity and utilization of static datasets. To overcome these issues, an improved load scheduling method is proposed in this paper, in which loads are optimized by using the meta-heuristic Grey Wolf Optimization (GWO) algorithm. In addition to this, a real-time dataset is used that is collected from the Chandigarh Region. The information about the total demand felt and met initially is extracted from the available dataset. In addition to this, the minimum hour of electricity that must be provided to the six sectors (AP, PAT, RDS, MGJG, urban and industrial) is also defined. The loads are optimized by the proposed GWO model and later on its performance is evaluated in the MATLAB software. The performance outcomes were delineated by observing the total demand felt by the providers for the month of May, June and July and the total demand met by the proposed scheme. The results proved the efficiency of the proposed GWO model as it was able to provide electricity to every sector as per the demand.

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References

  1. A. Mahmood, M.N. Ullah, S. Razzaq, A. Basit, U. Mustafa, M. Naeem, N. Javaid, A new scheme for demand side management in future smart grid networks. Procedia Comput. Sci. 32, 477–484 (2014). ISSN 1877-0509

    Google Scholar 

  2. P.A. Pattanaik, N.C. Sahoo, S. Mishra, Implementation of demand side management using microcontroller and wireless communication, in 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT) (2017), pp. 1–6. https://doi.org/10.1109/ICECCT.2017.8117935

  3. S. Iqbal, M. Sarfraz, M. Ayyub, M. Tariq, R.K. Chakrabortty, M.J. Ryan, B. Alamri, A comprehensive review on residential demand side management strategies in smart grid environment. Sustainability 13, 7170 (2021). https://doi.org/10.3390/su13137170

    Article  Google Scholar 

  4. P.A. Pattanaik, N. Sahoo, S. Mishra, Demand side management in smart grid: a laboratory-based educational perspective. Int. J. Electr. Eng. Educ. 58(2), 331–356 (2019)

    Article  Google Scholar 

  5. H.O. Alwan, S. Abdelwahed, Demand side management- literature review and performance comparison, in 2019 11th International Conference on Computational Intelligence and Communication Networks (CICN) (2019), pp. 93–102. https://doi.org/10.1109/CICN.2019.8902364

  6. R. Mehta, P. Verma, D. Srinivasan, Smart load control strategy for residential demand side management, in 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) (2018), pp. 1227–1232. https://doi.org/10.1109/ISGT-Asia.2018.8467947

  7. S.H. CharanCherukuri, B. Saravanan, G. Arunkumar, An overview of residential demand side management strategies, in 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (2019), pp. 1–6. https://doi.org/10.1109/i-PACT44901.2019.8960143

  8. T.A. Nguyen, M. Aiello, Energy intelligent buildings based on user activity: a survey. Energy Build. 56, 244–257 (2013)

    Article  Google Scholar 

  9. S. Lanzisera, S. Dawson-Haggerty, H. Cheung, J. Taneja, D. Culler, R. Brown, Methods for detailed energy data collection of miscellaneous and electronic loads in a commercial office building. Build. Environ. 65, 170–177 (2013)

    Google Scholar 

  10. A.K. Sharma, A. Saxena, A demand side management control strategy using Whale optimization algorithm. SN Appl. Sci. 1, 870 (2019). https://doi.org/10.1007/s42452-019-0899-0

    Article  Google Scholar 

  11. G. Gaur, N. Mehta, R. Khanna, S. Kaur, Demand side management in a smart grid environment, in 2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC) (2017), pp. 227–231. https://doi.org/10.1109/ICSGSC.2017.8038581

  12. P.R. Babu, K.A. Kumar, Application of novel DSM techniques for industrial peak load management, in 2013 International Conference on Power, Energy and Control (ICPEC) (2013), pp. 415–419. https://doi.org/10.1109/ICPEC.2013.6527692

  13. M.M. Hossain, K.R. Zafreen, A. Rahman, M.A. Zamee, T. Aziz, An effective algorithm for demand side management in smart grid for residential load, in 2017 4th International Conference on Advances in Electrical Engineering (ICAEE) (2017), pp. 336–340. https://doi.org/10.1109/ICAEE.2017.8255377

  14. M.P. Raju, A.J. Laxmi, A novel load management algorithm for EMU by implementing demand side management techniques using ANN, in 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA) (2017), pp. 1–6

    Google Scholar 

  15. P.R. Babu, V.P.S. Divya, P. Srikanth, B.D. Singh, K. Varun, Neural network and DSM techniques applied to a industrial consumer a case study, in 2007 Compatibility in Power Electronics (2007), pp. 1–4. https://doi.org/10.1109/CPE.2007.4296503

  16. G.H. Philipo, Y.A.C. Jande, T. Kivevele, Clustering and fuzzy logic-based demand-side management for solar microgrid operation: case study of Ngurudoto microgrid, Arusha, Tanzania. Adv. Fuzzy Syst. 2021, 6614129 (2021)

    Google Scholar 

  17. T. Nasir, S.S.H. Bukhari, S. Raza, H.M. Munir, M. Abrar, H. Abd ul Muqeet, K.L. Bhatti, J.-S. Ro, R. Masroor, Recent challenges and methodologies in smart grid demand side management: state-of-the-art literature review. Math. Probl. Eng. 2021, 5821301 (2021)

    Google Scholar 

  18. I. Hammou Ou Ali, M. Ouassaid, M. Maaroufi, Dynamic time- and load-based preference toward optimal appliance scheduling in a smart home. Math. Probl. Eng. (2021)

    Google Scholar 

  19. A. Nawaz, G. Hafeez, I. Khan, K.U. Jan, H. Li, S.A. Khan, Z. Wadud, An intelligent integrated approach for efficient demand side management with forecaster and advanced metering infrastructure frameworks in smart grid. IEEE Access 8, 132551–132581 (2020)

    Article  Google Scholar 

  20. J. Ahmad, M. Abrar, Demand side management based optimal energy management technique for smart grid. Iran J. Sci. Technol. Trans. Electr. Eng. 41, 81–91 (2017)

    Article  Google Scholar 

  21. L. Uzoechi, C.U. Eze, D.D. Agwu, A new proposed demand side management technique (2016)

    Google Scholar 

  22. A.U. Mahin, F. Ahmed, S.M. Ishraqul Huq, N.U.R. Chowdhury, Role of demand side management techniques in reducing electricity demand of residential users. EJECE, Eur. J. Electr. Comput. Eng. 3(4) (2019)

    Google Scholar 

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Authors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technical Teachers Training & Research, Chandigarh, India

    Ashok Muthria & Lini Mathew

Authors
  1. Ashok Muthria
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  2. Lini Mathew
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Corresponding author

Correspondence to Ashok Muthria .

Editor information

Editors and Affiliations

  1. School of Electrical Engineering, KIIT University, Bhubaneswar, India

    Rudra Narayan Dash

  2. Concordia University, Montreal, QC, Canada

    Akshay Kumar Rathore

  3. Khalifa University, Abu Dhabi, United Arab Emirates

    Vinod Khadkikar

  4. School of Electrical Engineering, KIIT University, Bhubaneswar, India

    Ranjeeta Patel

  5. Department of Electrical and Electronics Engineering, ITER, Siksha ‘O’ Anusandhan, Bhubaneswar, India

    Manoj Debnath

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Muthria, A., Mathew, L. (2023). Demand-Side Load Management Using Grey Wolf Optimization. In: Dash, R.N., Rathore, A.K., Khadkikar, V., Patel, R., Debnath, M. (eds) Smart Technologies for Power and Green Energy. Lecture Notes in Networks and Systems, vol 443. Springer, Singapore. https://doi.org/10.1007/978-981-19-2764-5_32

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  • DOI: https://doi.org/10.1007/978-981-19-2764-5_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2763-8

  • Online ISBN: 978-981-19-2764-5

  • eBook Packages: EngineeringEngineering (R0)

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