Main Article Content

Abstract

Although solar photovoltaic (PV) systems are environmentally friendly, policy makers and power system operators have concerns regarding the high penetration of these systems due to potential impacts of solar power intermittency on power systems. Understanding the nature of this intermittency is important to make informed decisions regarding solar power plants, size and location, transmission and distribution systems planning, as well as thermal generation units and electricity markets operations. This article presents a review of solar PV power characteristics and its impacts on power system operation.

Keywords

Solar PV power Intermittency Power system operation Reserve requirements.

Article Details

How to Cite
albadi, m. (2019). SOLAR PV POWER INTERMITTENCY AND ITS IMPACTS ON POWER SYSTEMS – AN OVERVIEW. The Journal of Engineering Research [TJER], 16(2), 142–150. https://doi.org/10.24200/tjer.vol16iss2pp142-150

References

  1. Albadi M. A. Al-Hinai N. Al-Abri, Y. Al-Busafi and R. Al-Sadairi (2013), "Optimal allocation of solar PV systems in rural areas using genetic algorithms: a case study. International Journal of Sustainable Engineering 6(4): 301-306.
  2. Albadi M. N. Al-Mashaikhi, S. Al-Hinai, R. Al-Abri, A. Al-Hinai, Q. Al-Aamri, A. Al-Mazidi and M. Al-Gafri (2015), Loss reduction in isolated rural area distribution network using photovoltaic system. The Journal of Engineering Research 12(2): 51-59.
  3. Albadi M. and E. El-Saadany (2010), Impacts of wind power variability on generation costs-an overview. J. Eng. Res 7(2): 24-31.
  4. Albadi M. and E. El-Saadany (2011), Comparative study on impacts of wind profiles on thermal units scheduling costs. IET renewable power generation 5(1): 26-35.
  5. Albadi M.H. (2017), Electricity sector in Oman after 10 years of reform: Status, trends, and future perspectives. The Electricity Journal 30(7): 23-30.
  6. Brouwer A.S.M. Van Den Broek, A. Seebregts and A. Faaij (2014) Impacts of large-scale intermittent renewable energy sources on electricity systems, and how these can be modeled. Renewable and Sustainable Energy Reviews 33: 443-466.
  7. Dowell J.G. Hawker K. Bell and Gill S (2016), A review of probabilistic methods for defining reserve requirements. Power and Energy Society General Meeting (PESGM), 2016, IEEE.
  8. Elsinga B. and W. van Sark (2015), Spatial power fluctuation correlations in urban rooftop photovoltaic systems. Progress in Photovoltaics: Research and Applications 23(10): 1390-1397.
  9. Energy G. (2010), Western wind and solar integration study, Citeseer.
  10. Halamay D.A. T.K. Brekken, A. Simmons and S. McArthur (2011), Reserve requirement impacts of large-scale integration of wind, solar, and ocean wave power generation. IEEE Transactions on Sustainable Energy 2(3): 321-328.
  11. Hoff T.E. and R. Perez (2012), Modeling PV fleet output variability. Solar Energy 86(8): 2177-2189.
  12. Ibanez E.G. Brinkman, M. Hummon and D. Lew (2012), A solar reserve methodology for renewable energy integration studies based on subhourly variability analysis. 2nd International Workshop on Integration of Solar Power in Power Systems Proceedings, Lisbon, Portugal.
  13. Jayaraman R. and D. L. Maskell (2012), Temporal and spatial variations of the solar radiation observed in Singapore. Energy Procedia 25: 108-117.
  14. Koivisto M.K. Das F. Guo P. Sørensen E. Nuño N. Cutululis and P. Maule (2019), Using time series simulation tool for assessing the effects of variable renewable energy generation on power and energy systems. Wiley Interdisciplinary Reviews: Energy and Environment: e329.
  15. Kundur P.J. Paserb V. Ajjarapu G. Andersson A. Bose C. Canizares N. Hatziargyriou D. Hill A. Stankovic and C. Taylor (2004), Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions. IEEE transactions on Power Systems 19(3): 1387-1401.
  16. Lave M. and J. Kleissl (2010). Solar variability of four sites across the state of Colorado. Renewable Energy 35(12): 2867-2873.
  17. Lew D.G. Brinkman E. Ibanez B. Hodge and J. King (2013), The western wind and solar integration study phase 2. Contract 303: 275-3000.
  18. Lew D.N. Miller K. Clark G. Jordan and Z. Gao (2010), Impact of high solar penetration in the Western interconnection..
  19. Luiz E.W.F.R. Martins A.R. Gonçalves and E. B. Pereira (2018) Analysis of intra-day solar irradiance variability in different Brazilian climate zones. Solar Energy 167: 210-219.
  20. Miller N.M. Shao S. Pajic and R. D’Aquila (2014), Western wind and solar integration study phase 3-frequency response and transient stability. Contract 303: 275-3000.
  21. Mills A. (2010), Implications of wide-area geographic diversity for short-term variability of solar power. Lawrence Berkeley National Laboratory.
  22. Mills A. (2010), Understanding variability and uncertainty of photovoltaics for integration with the electric power system. Lawrence Berkeley National Laboratory.
  23. Murata A.H. Yamaguchi and K. Otani (2009), A method of estimating the output fluctuation of many photovoltaic power generation systems dispersed in a wide area. Electrical Engineering in Japan 166(4): 9-19.
  24. OPWP (2019), Oman power and water procurement Co. (SAOC) website.
  25. Ortega-Vazquez M.A. and D.S. Kirschen (2007), Optimizing the spinning reserve requirements using a cost/benefit analysis. IEEE Transactions on Power Systems 22(1): 24-33.
  26. Perez R. P. Lauret M. Perez M. David T. E. Hoff and S. Kivalov (2018), Solar resource variability. Wind Field and Solar Radiation Characterization and Forecasting: A Numerical Approach for Complex Terrain: 149-170.
  27. Projects C (2015), Investigating the impact of solar variability on grid stability, Australian Renewable Energy Agency
  28. REN21 (2019), Renewables 2019 Global Status Report. Paris, REN21 Secretariat.
  29. Sengupta M.Y. Xie A. Lopez A. Habte G. Maclaurin and J. Shelby (2018), The national solar radiation data base (NSRDB). Renewable and Sustainable Energy Reviews 89: 51-60.
  30. Tabone M. D. and D. S. Callaway (2015), Modeling variability and uncertainty of photovoltaic generation: A hidden state spatial statistical approach. IEEE Transactions on Power Systems 30(6): 2965-2973.
  31. Tabone M.D. C. Goebel and D. S. Callaway (2016), The effect of PV siting on power system flexibility needs. Solar Energy 139: 776-786.
  32. Trindade F.C.L. T. S. D. Ferreira M. G. Lopes and W. Freitas (2017), Mitigation of fast voltage variations during cloud transients in distribution systems with PV solar farms. IEEE Transactions on Power Delivery 32(2): 921-932.
  33. Ummels B.C. M. Gibescu E. Pelgrum W.L. Kling and A. J. Brand (2007), Impacts of wind power on thermal generation unit commitment and dispatch. IEEE Transactions on Energy Conversion 22(1): 44-51.
  34. Varma R.K. S. A. Rahman T. Vanderheide and M. D. N. Dang (2016), Harmonic impact of a 20-MW PV solar farm on a utility distribution network. IEEE Power and Energy Technology Systems Journal 3(3): 89-98.
  35. Wiemken E.H. Beyer W. Heydenreich and K. Kiefer (2001), Power characteristics of PV ensembles: experiences from the combined power production of 100 grid connected PV systems distributed over the area of Germany. Solar Energy 70(6): 513-518.
  36. Willemsen E. (2016), Spatial and temporal variability of solar energy. Master Thesis, Utrecht University, Holland.