SGS: A MODELLING AND SIMULATION SMART GRID ENVIRONMENT, END USER APPLICATION

Houda Bouderraoui and Mouhcine Chami

References

  1. [1] E.S. Piscitello and V.S. Bogach, Financial incentives for renewable energy development: Proceedings of an Int. Workshop, Amsterdam, Netherlands, 1998, 1–59.
  2. [2] J.P. Painuly, Barriers to renewable energy penetration: A framework for analysis, Renewable Energy, 24(1), 2001, 73–89.
  3. [3] X. Liang, Emerging power quality challenges due to integration of renewable energy sources, IEEE Transactions on Industry Applications, 53(2), 2016, 855–866.
  4. [4] A.S. Anees, Grid integration of renewable energy sources: Challenges, issues and possible solutions, 2012 IEEE 5th India Int. Conf. on Power Electronics (IICPE), Delhi, India, 2012, 1–6.
  5. [5] A. Ihekwaba and C. Kim, Analysis of electric vehicle charging impact on grid voltage regulation, 2017 North American Power Symp. (NAPS), Morgantown, WV, USA, 2017, 1–6.
  6. [6] G. Strbac, Demand side management: Benefits and challenges, Energy Policy, 36(12), 2008, 4419–4426.
  7. [7] D.E. Olivares, A. Mehrizi-Sani, A.H. Etemadi, C.A. Ca˜nizares, R. Iravani, M. Kazerani, A.H. Hajimiragha, O. Gomis-Bellmunt, M. Saeedifard, R. Palma-Behnke et al., Trends in microgrid control, IEEE Transactions on Smart Grid, 5(4), 2014, 1905–1919.
  8. [8] UD of Homeland Security, National power grid simulator workshop report. ANL-17/05, Illinois, USA, 2008, 1–28.
  9. [9] R. Staunton, Evaluation of distribution analysis software for DER applications, Technical Report, Oak Ridge National Lab. (ORNL), ORNL/TM-2001/215, Oak Ridge, TN, 2003.
  10. [10] D.W. Gao, E. Muljadi, T. Tian, and M. Miller, Software comparison for renewable energy deployment in a distribution network, Technical Report, National Renewable Energy Lab. (NREL), NREL/TP-5D00-64228, Golden, CO, 2017.
  11. [11] HOMER. HOMER Energy Homepage, https://www.homerenergy.com (accessed May 30, 2019).
  12. [12] EPRI Electrical Power Research Institute, http://smartgrid.epri.com/index.aspx (accessed May 30, 2019).
  13. [13] K. Mets, J.A. Ojea, and C. Develder, Combining power and communication network simulation for cost-effective smart grid analysis, IEEE Communications Surveys & Tutorials, 16(3), 2014, 1771–1796.
  14. [14] M. P¨ochacker, A. Sobe, and W. Elmenreich, Simulating the smart grid, 2013 IEEE Grenoble Conf., Grenoble, France, 2013, 1–6.
  15. [15] A. De Almeida, P. Fonseca, B. Schlomann, and N. Feilberg, Characterization of the household electricity consumption in the EU, potential energy savings and specific policy recommendations, Energy and Buildings, 43(8), 2011, 1884–1894.
  16. [16] D. Murray, L. Stankovic, and V. Stankovic, An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study, Scientific Data, 4(1), 2017, 1–12.
  17. [17] A. Ihbal, H.S. Rajamani, R.A. Abd-Alhameed, and M.K. Jalboub, “Statistical predictions of electric load profiles in the UK domestic buildings, in 2010 1st International Conference on Energy, Power and Control (EPC-IQ). IEEE, 2010, pp. 345–350.
  18. [18] Department for Business, Energy & Industrial Strategy, National Statistics: Energy Consumption in the UK, https://www.gov.uk/government/342statistics/energy-consumption-in-the-uk (accessed Aug. 1, 2018).
  19. [19] S.S.S.R. Depuru, L. Wang, V. Devabhaktuni, and N. Gudi, Smart meters for power gridchallenges, issues, advantages and status, 2011 IEEE/PES Power Systems Conf. and Exposition, Phoenix, AZ, 1–7, 2011.
  20. [20] T. Bray, J. Paoli, C.M. Sperberg-McQueen, E. Maler, and F. Yergeau, Extensible markup language (XML), World Wide Web Journal, 2(4), 1997, 27–66.
  21. [21] US Department of Energy, Residential Program Solution Center-Energy Data Facts, www.rpsc.energy.gov/energy-data-facts (accessed Dec. 8, 2020).
  22. [22] H. Bouderraoui and M. Chami, Smart grid household’s profiles simulator, 2016 11th Int. Conf. Intelligent Systems: Theories and Applications (SITA), Mohammedia, Morocco, 1–5, 2016.
  23. [23] H. Bouderraoui and M. Chami, SGSIM: Load profile generator for smart grid applications, 2018 Renewable Energies, Power Systems & Green Inclusive Economy (REPS-GIE), Casablanca, Morocco, 1–6, 2018.
  24. [24] X. Zhou, D. Yan, T. Hong, and X. Ren, Data analysis and stochastic modeling of lighting energy use in large office buildings in china, Energy and Buildings, 86, 2015, 275–287.
  25. [25] R. Energy, Energy efficiency trends in residential and commercial buildings, 2010, 1–52.
  26. [26] The World Bank, World development indicators: Electricity production, sources, and access, http://wdi.worldbank.org/table/3.7 (accessed Jul. 19, 2018).

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