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Optimization of distribution network operation based on data from smart metering systems

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Abstract

The paper is dealing with a current trend of development in distribution networks’ control, with the focus on a real-time data acquisition and processing of information providing an overview of the distribution system operation. Nowadays, the amount of information available for the control of the distribution network is very limited, making the use of new sophisticated control algorithms and strategies very difficult or even impossible. The installation of smart meters and intelligent monitoring systems on the low voltage side of distribution transformers opens new possibilities for using specific tools to improve different aspects of the distribution system operation, e.g., a voltage control, a reactive power control, a reduction in losses or a fault location. The use of such systems may lead to a higher utilization of renewable energy sources to the distribution networks.

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References

  1. Schmela M, Masson G, Mai N (2016) Global market outlook for solar power/2016–2020. Solar Power Europe webinar. http://www.solarpowereurope.org/fileadmin/user_upload/documents/Events/SolarPower_Webinar_Global_Market_Outlook.pdf

  2. Bernáth F, Mastný P (2014) Distributed generation and voltage control in distribution network. In: Proceedings of the 2014 15th international scientific conference on electric power engineering EPE, Brno University of Technology, 12 May, pp 143–147, (in Czech Republic)

  3. Kašpírek M, Mezera D (2014) An analisis of harmonic voltage in a LV distribution grid. In: 18th conference of the Czech Committee of CIRED, Tábor, pp 1–27

  4. Kašpírek M, Jiřička J (2014) Operation of the distribution transformer MV/LV with the voltage regulation under load. In: Proceedings of the 2014 15th international scientific conference on electric power engineering EPE, Brno University of Technology, 12 May, pp 149–153, (in Czech Republic)

  5. Matyska J, Horátek J, Soběslav V (2012) Technology and requirements for intelligent smart grid network. In: Proceedings of the 3rd international conference on applied informatics and computing theory, Barcelona, 17–19 October, pp 275–281

  6. Rajský F, Kloud J (2015) Power quality measurements in DT. In: 19th conference of the Czech Committee of CIRED, Tábor, pp 1–19

  7. Hlubeň D, Beňa L’, Kolcun M (2010) Minimalizácia technických strát v elektrizačných sústavách reguláciou napätia (The minimization of technical losses in the power systems by voltage control). ELEKTROENERGETIKA 3(7):5–8 ISSN: 1337-6756

    Google Scholar 

  8. Khamees A, Badra N, Abdelaziz A (2016) Optimal power flow methods: a comprehensive survey. Int Electr Eng J (IEEJ) 7(4):2228–2239 ISSN 2078-2365

    Google Scholar 

  9. Jalilzadeh S, Galvani S, Hosseinian H (2007) Voltage profile modification using genetic algorithm in distribution systems. In: Proceedings of the world congress on engineering and computer science 2007, 24–26 October, San Francisco, USA

  10. Devendra D, Zelinka I (2016) Self-organizing migrating algorithm: methodology and implementation. Springer-Verlag, Berlin ISBN 978-3-319-28159-9

    Book  MATH  Google Scholar 

  11. Radosavljavić J, Jevtić M, Klimenta D et al (2015) Optimal power flow for distribution networks with distributed generation. Serb J Electr Eng 12(2):145–170. doi:10.2298/SJEE1502145R

    Article  Google Scholar 

  12. Máslo K, et al (2013) Řízení a stabilita elektrizační soustavy (Control and stability of power system). Asociace energetických manažer\(\mathring{{\rm u}}\), Praha, ISBN 978-80-260-4461-1

  13. Warid W, Hiyam H et al (2016) Optimal power flow using the jaya algorithm. Energies 9:678. doi:10.3390/en9090678

    Article  Google Scholar 

  14. Sheng W, Liu K, Hongyan P et al (2016) A fast reactive power optimization in distribution network based on large random matrix theory and data analysis. Appl Sci 6:158. doi:10.3390/app6060158

    Article  Google Scholar 

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Correspondence to Peter Braciník.

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The authors declare that they have no conflict of interest.

Funding

This work was supported by Project ITMS: 26210120021 and co-funded from EU sources and European Regional Development Fund.

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Kaprál, D., Braciník, P., Roch, M. et al. Optimization of distribution network operation based on data from smart metering systems. Electr Eng 99, 1417–1428 (2017). https://doi.org/10.1007/s00202-017-0628-x

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  • DOI: https://doi.org/10.1007/s00202-017-0628-x

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