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Reliability Evaluation of Smart Distribution Grids with Renewable Energy Sources and Demand Side Management

  • Research Article-Electrical Engineering
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Abstract

Technical advances and reduced technology costs have led to a significant increase in the use of renewable energy-based distributed generators (DGs) in the existing distribution grids. Modern distribution grid operation is also related to the efforts and incentives to influence changes in customers’ behavior and load use, known as demand side management (DSM). The effective implementation of renewable energy source (RES)-based DGs and DSM, particularly in microgrid operating modes, may benefit customers and distribution networks. This changes in the reliability performance of distribution networks owing to the integration of wind and photovoltaic DGs are evaluated in this study along with the implementation of load shifting and peak clipping DSM schemes for residential, commercial, and industrial load sectors. A reliability evaluation is based on energy not supplied and unavailability (hours per year), calculated by considering the seasonal changes in wind speed and solar irradiation, which are represented by their corresponding Weibull distribution functions. Load variations are incorporated using a normal distribution function. The reliability performances of different RES-based DGs and DSM schemes are evaluated using the non-sequential Monte Carlo simulation approach for modeling the random occurrence of faults in the system resulting in customer interruptions with the corresponding repair times required to restore the supply.

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References

  1. Wei, H.; Zijun, H.; Hongliang, T.; Li, Z.: Reliability evaluation of Microgrid with PV-WG hybrid system. In: 2011 4th International Conference Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), Weihai, Shandong, pp. 1629–1632 (2011)

  2. Wangdee, W.: Reliability impact of intermittent renewable energy source integration into power system. In: 2014 International Electrical Engineering Congress (iEECON), Chonburix, pp. 1–4 (2011)

  3. Singh, C.; Lago-Gonzalez, A.: Reliability modelling of generation systems including unconventional energy sources. IEEE Trans Power Appl Syst 104(5), 1049–1056 (1985)

    Article  Google Scholar 

  4. Skea, J.; Anderson, D.; Green, T.; Gross, R.; Heptonstall, P.; Leach, M.: Intermittent renewable generation and the cost of maintaining power system reliability. IET Gener. Transm. Dis. 2(1), 82–89 (2008)

    Article  Google Scholar 

  5. Zhao, Q.; Wang, P.; Goel L.; Ding, Y.: Impacts of renewable energy penetration on nodal price and nodal reliability in deregulated power system. In 2011 IEEE Power and Energy Society General Meeting, Detroit, MI, USA, pp. 1–6 (2011)

  6. Yao, E.; Samadi, P.; Wong, V.W.S.; Schober, R.: Residential demand side management under high penetration of rooftop photovoltaic units. IEEE Trans. Smart Grid 7(3), 1597–1608 (2016)

    Article  Google Scholar 

  7. Fotuhi-Firuzabad, M.; Billinton, R.: Impact of load management on composite system reliability evaluation short-term operating benefits. IEEE Trans. Power Syst. 15(2), 858–864 (2000)

    Article  Google Scholar 

  8. Azami, R.; Fard, A.F.: Impact of demand response programs on system and nodal reliability of a deregulated power system. In: 2008 IEEE International Conference Sustainable Energy Technologies, Singapore, pp. 1262–1266 (2011)

  9. Billinton, R.; Li, W.: Reliability Cost/Worth Assessment: Reliability Assessment of Electric Power Systems Using Monte Carlo Methods. Springer, Boston, MA (1994)

    Book  Google Scholar 

  10. Zhou, M.; Li, G.; Zhang, P.: Impact of demand side management on composite generation and transmission system reliability. In 2006 IEEE PES Power Systems Conference and Expo, Atlanta, GA, pp. 819–824 (2006)

  11. Siddiquea, A.B.; Munsia, S.; Sarkera, K.; Dasa, S.K.; Islam, R.: Voltage and current control augmentation of islanded microgrid using multifunction model reference modified adaptive PID controller. Electr. Power Energy Syst. 113, 492–501 (2019)

    Article  Google Scholar 

  12. Munsi, S.; Siddique, A.B.; Das, S.K.; Paul, S.K.; Islam, R.; Moni, M.A.: A novel blended state estimated adaptive controller for voltage and current control of microgrid against unknown noise. IEEE Access (2019). https://doi.org/10.1109/ACCESS.2019.2951429

    Article  Google Scholar 

  13. Ramli, M.A.M.; Bouchekara, H.R.E.H.; Alghamdi, A.S.: Efficient energy management in a microgrid with intermittent renewable energy and storage sources. Sustainability 11(14), 1–28 (2019)

    Article  Google Scholar 

  14. Huang, D.; Billinton, R.; Wangdee, W.: Effects of demand side management on bulk system adequacy evaluation. In 2010 IEEE 11th International Conference Probabilistic Methods Applied to Power Systems, Singapore, pp. 593–598 (2010)

  15. Atzeni, I.; Ordóñez, L.G.; Scutari, G.; Palomar, D.P.; Fonollosa, J.R.: Demand-side management via distributed energy generation and storage optimization. IEEE Trans. Smart Grid 4(2), 866–876 (2013)

    Article  Google Scholar 

  16. Prema, V.; Rao, K.U.; Closepet, A.S.: A novel predictive DSM strategy to match power outage pattern for optimal cost with solar and diesel power. In: 2014 IEEE Innovative Smart Grid Technologies—Asia (ISGT Asia), Kuala Lumpur, pp. 377–382 (2014)

  17. Wu, C.; Mohsenian-Rad, H.; Huang J.; Wang, A.Y.: Demand side management for wind power integration in microgrid using dynamic potential game theory. In 2011 IEEE GLOBECOM workshops, Houston, TX, pp. 1199–1204 (2011)

  18. Wang, P.; Billinton, R.: Time sequential distribution system reliability worth analysis considering time varying load and cost models. IEEE Trans. Power Del. 14(3), 1046–1051 (1999)

    Article  Google Scholar 

  19. Aslan, Y.; Yavasca, S.; Yasar, C.: Long term electric peak load forecasting of kutahya using different approaches. Int. J. Tech. Phys. Prob. Eng. 2, 87–91 (2011)

    Google Scholar 

  20. Jing, H.A.O.; Dawei, L.I.U.; Zhenxin, L.I.; Zilai, C.; Lingguo, K.: Energy procedia power system load forecasting based on fuzzy clustering and gray target theory. Energy Procedia 16, 1852–1859 (2012)

    Article  Google Scholar 

  21. Carpinteiro, O.A.S.; Leme, R.C.; de Souza, A.C.Z.; Filho, P.S.Q.: A hierarchical hybrid neural model with time integrators in long-term peak-load forecasting. In: 2005 IEEE International Joint Conference Neural Networks, Montreal, Que., 5, pp. 2960–2965 (2005)

  22. Boshell, F.; Veloza, O.P.: Review of developed demand side management programs including different concepts and their results. In: 2008 IEEE/PES Transmission and Distribution Conference and Expo. Latin America, Bogota, pp. 1–7 (2008)

  23. https://www.intechopen.com/books/failure-analysis-and-prevention/failure-rate-analysis

  24. Billinton, R.; Huang, D.: Test systems for reliability and adequacy assessment of electric power systems. IEEE PES General Meeting, Providence, RI, pp. 1–7 (2010)

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Acknowledgements

The authors would like to acknowledge the support provided by the Deanship of Scientific Research, King Fahd University of Petroleum & Minerals, Dharan, KSA.

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Authors and Affiliations

  1. Department of Electrical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    M Ilius Pathan, Maad AlOwaifeer & Mohammad AlMuhaini

  2. Electronics and Electrical Engineering, University of Edinburgh, Edinburgh, UK

    Sasa Z. Djokic

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  1. M Ilius Pathan
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  2. Maad AlOwaifeer
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  3. Mohammad AlMuhaini
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  4. Sasa Z. Djokic
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All authors contributed to this work by collaboration. M Ilius Pathan is the first author in this manuscript. All authors revised and approved for the publication.

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Correspondence to M Ilius Pathan.

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Pathan, M., AlOwaifeer, M., AlMuhaini, M. et al. Reliability Evaluation of Smart Distribution Grids with Renewable Energy Sources and Demand Side Management. Arab J Sci Eng 45, 6347–6360 (2020). https://doi.org/10.1007/s13369-020-04477-8

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  • DOI: https://doi.org/10.1007/s13369-020-04477-8

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