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Distributed generation as efficient measure to improve power generation adequacy

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article concerns safety of power supply for the final consumers, especially its two comprising elements, which are generation adequacy and distribution system re- liability. Generation adequacy has been defined with Loss of Load Probability (LOLP), Loss of Load Expectation (LOLE) and Energy Not Supplied (ENS) indices. Conclusions from generation adequacy forecast prepared by ENSTO-E for Poland compared with other European countries for the years 2020 and 2025 have been discussed along with the resulting threats. Interruptions in energy supply have been characterised by power discontinuity indicator SAIDI. Finally, a reliability and adequacy analysis have been performed for different scenarios of the Polish power system operation in order to assess possibilities of using distributed generation as a backup power source. Based on a simulation model created using the DIgSILENT Power Factory software, the reliability and adequacy calculations have been performed with the probabilistic non-sequential Monte Carlo method and they are followed by a discussion of the obtained results.
Rocznik
Strony
373--385
Opis fizyczny
Bibliogr. 15 poz., rys., tab., wz.
Twórcy
  • Institute of Electric Power Engineering, Poznan University of Technology 3a Piotrowo Str., 60-965 Poznań, Poland
  • Institute of Electric Power Engineering, Poznan University of Technology 3a Piotrowo Str., 60-965 Poznań, Poland
  • Institute of Electric Power Engineering, Poznan University of Technology 3a Piotrowo Str., 60-965 Poznań, Poland
Bibliografia
  • [1] Paska J., Reliability of power systems,Warsaw University of Technology Publishing House (in Polish) (2005).
  • [2] ENTSO-E Adequacy methodology, https://www.entsoe.eu/major-projects/adequacy-methodology/Pages/default.aspx, accessed August 2018.
  • [3] Bilinton R., Allan R.N., Power-system reliability in perspective, Electron. Power, vol. 30, pp. 231–236 (1984).
  • [4] ENTSO-E, Mid-term Adequacy Forecast Report Edition 2016, ENSTO-E Report (2016).
  • [5] ENSTO-E, Mid-term Adequacy Forecast Report Edition 2017, ENSTO-E Report (2017).
  • [6] Concept of the functioning of energy clusters in Poland, report ordered by the Ministry of Energy of Poland (in Polish) (2017).
  • [7] Atwa Y.M., El-Saadany E.F., Salama M.M.A., Seethapathy R., Optimal renewable resources mix for distribution system energy loss minimization, IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 360–370 (2010).
  • [8] Zeng J., Liu J.F., Wu J., Nga H.W., A multi-agent solution to energy management in hybrid renewable energy generation system, Renewable Energy, vol. 35, no. 5, pp. 1352–1363 (2011).
  • [9] Li Y., Zio E., Uncertainty analysis of the adequacy assessment model of a distributed generation system, Renewable Energy, vol. 41, no. 5, pp. 235–244 (2012).
  • [10] Solar-pv power generation data for 2017 Belgium, http://www.elia.be/en/grid-data/power-generation/solar-power-generation-data/graph, accessed August 2018.
  • [11] Gupta N., Garg R., Kumar P., Sensitivity and reliability models of PV system connected to grid, Renewable and Sustainable Energy Reviews, vol. 69, pp. 188–196 (2017).
  • [12] Electricity network’s system interruption duration indices for 2017, Enea Operator Sp. z o.o., https://www.operator.enea.pl/operator/info-o-sieci/wskazniki-przerw/wskazniki_za-2017.pdf?t=1524205720, accessed August 2018.
  • [13] DIgSILENT PowerFactory 2017 User Manual, DIgSILENT GmbH (2017).
  • [14] Marzecki J., Reliability of local power grid networks, Electrotechnical news (in Polish), vol. 75, no. 2, pp. 14–19 (2007).
  • [15] Maćkowiak A., Generation adequacy in local distribution networks, Electrical Engineering (in Polish), Poznan University of Technology Academic Journals, iss. 94, pp. 17–28 (2018).
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-78a3da52-af14-4625-ab16-566583c1bf8a
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