Skip to main content
SpringerLink
Log in

Integration of Renewable Energy Sources into Microgrid Considering Operational and Planning Uncertainties

  • Conference paper
  • First Online:
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018 (EMMFT-2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 982))

Included in the following conference series:

Abstract

In this paper, a new integration approach for renewable energy sources (RESs), especially intermittent resources (i.e., PV and wind), is presented considering RESs planning uncertainties issues, which are size and location of units, and RESs operational uncertainties issues including operation mode of units and the stochastic nature of prime energy sources (solar irradiance and wind speed). The approach composes of three stages: uncertainties sources modelling, uncertainties expansion, and optimizing uncertainties sources. In the first stage, the nodal active and reactive power uncertainties based on size and operational mode of a renewable power unit are modelled using cumulant technique considering stochastically the solar irradiance, wind speed, and load demands. Secondly, relations of the nodal active and reactive power injections with buses voltage are established. Finally, the particle swarm optimization (PSO) algorithm is utilized to identify the optimal size and operational mode, and the best location and type of RESs for minimizing the buses voltage violations considering technical constraints. The proposed algorithm and analysis on standard 33-bus MG system is implemented using MATLAB. The proposed probabilistic approach by means of cumulant technique reduces the complexity and computational burden of RESs planning problem considering RESs planning and operation uncertainties, which is most important for any researcher in the field of RESs planning and making it very advantageous and practical.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Pandey, S., Mohanty, S., Kishor, N.: A literature survey on load–frequency control for conventional and distribution generation power systems. Renew. Sustain. Energy Rev. 25, 318–334 (2013)

    Article  Google Scholar 

  2. Parmar, K., Majhi, S., Kothari, D.: Load frequency control of a realistic power system with multi-source power generation. Int. J. Electr. Power Energy Syst. 42, 426–433 (2012)

    Article  Google Scholar 

  3. Georgilakis, P.: Technical challenges associated with the integration of wind power into power systems. Renew. Sustain. Energy Rev. 12, 852–863 (2008)

    Article  Google Scholar 

  4. Chen, Z., Blaabjerg, F.: Wind farm—a power source in future power systems. Renew. Sustain. Energy Rev. 13, 1288–1300 (2009)

    Article  Google Scholar 

  5. Ulbig, A., Borsche, T., Andersson, G.: Impact of low rotational inertia on power system stability and operation. IFAC Proc. Vol. 47, 7290–7297 (2014)

    Article  Google Scholar 

  6. Soroudi, A., Ehsan, M.: A possibilistic–probabilistic tool for evaluating the impact of stochastic renewable and controllable power generation on energy losses in distribution networks—a case study. Renew. Sustain. Energy Rev. 15, 794–800 (2011)

    Article  Google Scholar 

  7. Farag, H., Abdelaziz, M., El-Saadany, E.: Voltage and reactive power impacts on successful operation of islanded microgrids. IEEE Trans. Power Syst. 28, 1716–1727 (2013)

    Article  Google Scholar 

  8. Gamarra, G., Guerrero, J.: Computational optimization techniques applied to microgrids planning: a review. Renew. Sustain. Energy Rev. 48, 413–424 (2015)

    Article  Google Scholar 

  9. Ehsan, A., Yang, Q.: Optimal integration and planning of renewable distributed generation in the power distribution networks: a review of analytical techniques. Appl. Energy 210, 44–59 (2018)

    Article  Google Scholar 

  10. Jung, J., Villaran, M.: Optimal planning and design of hybrid renewable energy systems for microgrids. Renew. Sustain. Energy Rev. 75, 180–191 (2017)

    Article  Google Scholar 

  11. Singh, A., Parida, S.: A review on distributed generation allocation and planning in deregulated electricity market. Renew. Sustain. Energy Rev. 82, 4132–4141 (2018)

    Article  Google Scholar 

  12. Fathima, A., Palanisamy, K.: Optimization in microgrids with hybrid energy systems – a review. Renew. Sustain. Energy Rev. 45, 431–446 (2015)

    Article  Google Scholar 

  13. Zubo, R., Mokryani, G., Rajamani, H., Aghaei, J., Niknam, T., Pillai, P.: Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: a review. Renew. Sustain. Energy Rev. 72, 1177–1198 (2017)

    Article  Google Scholar 

  14. Talari, S., Shafie-khah, M., Osorio, G., Aghaei, J., Catalao, J.: Stochastic modelling of renewable energy sources from operators’ point of-view: a survey. Renew. Sustain. Energy Rev. 81, 1953–1965 (2018)

    Article  Google Scholar 

  15. Aien, M., Hajebrahimi, A., Fotuhi-Firuzabad, M.: A comprehensive review on uncertainty modeling techniques in power system studies. Renew. Sustain. Energy Rev. 57, 1077–1089 (2017)

    Article  Google Scholar 

  16. Fan, M., Vittal, V., Heydt, T., Ayyanar, R.: Probabilistic power flow studies for transmission systems with photovoltaic generation using cumulants. IEEE Trans. Power Syst. 27, 2251–2261 (2012)

    Article  Google Scholar 

  17. Dadkhah, M., Venkatesh, B.: Cumulant based stochastic reactive power planning method for distribution systems with wind generators. IEEE Trans. Power Syst. 27, 2351–2359 (2012)

    Article  Google Scholar 

  18. Schellenberg, A., Rosehart, W., Aguado, J.: Cumulant-based probabilistic optimal power flow (P-OPF) with Gaussian and gamma distributions. IEEE Trans. Power Syst. 20, 773–781 (2005)

    Article  Google Scholar 

  19. Aghatehrani, R., Kavasseri, R.: Reactive power management of a DFIG wind system in microgrids based on voltage sensitivity analysis. IEEE Trans. Sustain. Energy 2, 451–458 (2011)

    Article  Google Scholar 

  20. Liu, S., Liu, P., Wang, X.: Stability analysis of grid-interfacing inverter control in distribution systems with multiple photovoltaic-based distributed generators. IEEE Trans. Ind. Electron. 63, 7339–7348 (2016)

    Article  Google Scholar 

  21. Kayal, P., Chanda, C.: Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network. Renew. Energy 75, 173–186 (2015)

    Article  Google Scholar 

  22. Otieno, J.: From the classical beta distribution to generalized beta distributions. Master’s thesis, University of Nairobi (2013)

    Google Scholar 

  23. Bu, S., Du, S., Wang, H., Chen, Z., Xiao, Z., Li, H.: Probabilistic analysis of small-signal stability of large-scale power systems as affected by penetration of wind generation. IEEE Trans. Power Syst. 27, 762–770 (2012)

    Article  Google Scholar 

  24. Zhang, C., Xu, Y., Dong, Z., Wong, K.: Robust coordination of distributed generation and price-based demand response in microgrids. IEEE Trans. Smart Grid 9, 4236–4247 (2018)

    Article  Google Scholar 

  25. Hassan, A., Kandil, M., Saadawi, M., Saeed, M.: Modified particle swarm optimisation technique for optimal design of small renewable energy system supplying a specific load at Mansoura University. IET Renew. Power Gener. 9, 474–483 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Ural Federal University, Yekaterinburg, Russia

    Amir Abdel Menaem & Vladislav Oboskalov

  2. Electrical Engineering Department, Mansoura University, Mansoura, Egypt

    Amir Abdel Menaem

  3. Science & Engineering Center of Ural Branch of RAS, Yekaterinburg, Russia

    Vladislav Oboskalov

Authors
  1. Amir Abdel Menaem
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vladislav Oboskalov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Amir Abdel Menaem .

Editor information

Editors and Affiliations

  1. Moscow State University of Civil Engineering, Moscow, Russia

    Vera Murgul

  2. Department of Information Engineering, Università degli Studi di Brescia, Brescia, Italy

    Marco Pasetti

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Abdel Menaem, A., Oboskalov, V. (2020). Integration of Renewable Energy Sources into Microgrid Considering Operational and Planning Uncertainties. In: Murgul, V., Pasetti, M. (eds) International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018. EMMFT-2018 2018. Advances in Intelligent Systems and Computing, vol 982. Springer, Cham. https://doi.org/10.1007/978-3-030-19756-8_21

Download citation

Publish with us

Policies and ethics

Search

Navigation