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Integral index of operation quality for evaluation of impact of distributive generation sources on electric network modes

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Method of operation quality evaluation of electric network, comprising renewable sources of energy (RSE) is considered. Integral index that enables to evaluate the impact of RSE on energy losses and its quality as well as balance reliability in electric network is suggested. Mathematical model is constructed, taking into account the assumption that electric network with RSE may be in various operation modes, characterized by different technical economic indices. To determine the integral index of operation quality of electric network with RSE in all possible states tools of Markov processes theory and criterial method are used.
Twórcy
  • Department of Electric Power Stations and Systems, Vinnytsia National Technical University, 95 Khmelnitskoye Shose, Vinnytsia, 21021, Ukraine
autor
  • Department of Electric Power Stations and Systems, Vinnytsia National Technical University, 95 Khmelnitskoye Shose, Vinnytsia, 21021, Ukraine
  • Department of Electricity Supply, Lutsk National Technical University, 75 Lvivska, Lutsk, 43018, Ukraine
autor
  • Department of Electric Power Stations and Systems, Vinnytsia National Technical University, 95 Khmelnitskoye Shose, Vinnytsia, 21021, Ukraine
  • Lublin University of Technology, Department of Grid Network and Security, Nadbystrzycka 36 Str, 20-618 Lublin, Poland
Bibliografia
  • 1. Bahadoorsingh S., Milanovic J.V., Zhang Y., Gupta C.P. Minimization of voltage sag costs by optimal reconfiguration of distribution network using genetic algorithms, IEEE Trans. Power Delivery, vol. 22, (4), 2007, 2271-2278.
  • 2. Burbelo M., J., Pijarski P., Zavadskiy V., Koczorowska-Gazda A., Lyudmyla M. Melnychuk L. M., Loboda Y. V. Measurement of reactive power under asymmetrical nonsinusoid modes of electric networks with earthed neutral. Proceedings of SPIE, nr 10031. 2016.
  • 3. Farghal S.A., Kandil M.S., Elmitwally A. Quantifying electric power quality via fuzzy modeling and analytic hierarchy processing, IEE Proceedings of Generation, Transmission and Distribution, vol. 149(1), 2002, 44-49.
  • 4. Guanghou Jin, Gengyin Li, Ming Zhou, Yixin Ni, Research on allocation of gross electromagnetic pollution emission right in power quality markets, IEEE Power Engineering Society General Meeting, 2005, 320-325.
  • 5. Kacejko P., Machowski J., Pijarski P.: Standing phase angle reduction at switching operation in transmission network. Rynek Energii nr 5(96), 2011, 4-35.
  • 6. Kacejko P., Pijarski P. Cost sharing on the network upgrade individual investors applying for connection to a network of wind farms . Przegląd Elektrotechniczny, NR 9a (88), 2012, 27-31.
  • 7. Kacejko P., Pijarski P.. Connecting of wind farms – limitations instead of oversized investment. Rynek Energii nr 1(80), 2009, 10-15.
  • 8. Kacejko P., Pijarski P.: Dynamic Fitting of Generation Level to Thermal Capacity of Overhead Lines. Przegląd Elektrotechniczny, R.84 (5), 2008, 80-83.
  • 9. Kanitpanyacharoean W, Premrudeepreechacharn S. Power quality problem classification using wavelet transformation and artificial neural networks, TENCON (3), 2004, 252-255.
  • 10. Lezhnyuk P. D., Komar V. O., Kravtsov K. I. Criterion of function quality estimation of distribution networks [Electronic resource]. Scientific Works of Vinnytsia National Technical University .Nr 3, 2008. Mode of access.: http://works.vntu.edu.ua/ index.php/works/article/view/85/85.
  • 11. Smart Power Grids – Talking about a revolution. IEEE Emerging Technology portal, 2009. 2011. [Electronic resource] – Mode of access: http://www.ieee.org/portal/site/emergingtech/techindex.jsp?techId=1220
  • 12. Yang X, Li G. Comprehensive Assessment of Voltage Sag Considering Reliability and Economy, Sustainable Power Generation and Supply, SUPERGEN ‘09. International Conference 2009.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f5e88390-7ea2-4cbc-83e7-50719429636b
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