Energy Research, Vol. 2, Issue 1, Mar  2018, Pages 41-51; DOI: 10.31058/ 10.31058/

Hourly Weather Parameters Analysis for Prediction of Electricity Generation by Photovoltaic Power Station on the Day Ahead

Energy Research, Vol. 2, Issue 1, Mar  2018, Pages 41-51.

DOI: 10.31058/

Lezhniuk P.D. 1* , Komar V.O. 1 , Kravchuk S.V. 1 , J-P. Ngoma 2

1 Department of Electrical Power Stations and Systems, Vinnitsia National Technical University,Vinnitsia, Ukraine

2 Daulas University, Daul, Cameroon

Received: 5 January 2018; Accepted: 10 February 2018; Published: 14 March 2018

Full-Text HTML | Download PDF | Views 762 | Download 457


The paper presents an analysis of the mechanisms of functioning of the new model of the wholesale electricity market new model. According to this, the work of stations based on the use of renewable energy sources (RES), in particular photovoltaic power stations (PPS), should take place on the basis of the announced hourly generating schedule by the owner of the station one day in advance. In order to ensure the accuracy of the predicted schedule, a study was carried out on the determination of meteorological parameters that most affected the generation of electricity at photovoltaic power plants. Results of cluster and regression analysis were conducted on the basis of meteorological data, measured at the station located in the Vinnitsia region.


Photovoltaic Power Stations, Hourly Weather Parameters, Prediction, Solar Radiation, Panel Temperature, Humidity


© 2017 by the authors. Licensee International Technology and Science Press Limited. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


[1] O.V.Kyrylenko, Y.S.Peterheria, T.O. Tereschenko, and V.J. Zhuikov, Intelligent systems of electric energy flows control in local objects. Kyiv, Ukraine: Media Press, 2005. p.212.
[2] P.D.Lezhniuk, A.V.Nikitorovych, O.A.Kovalchuk, V.V.Kulyk, “Automation of distributed sources of electric energy operation in local electrical grid, based on SMART Grid concept”. Proceedings of the Institute of Electrodynamics of NASU. Collection of scientific papers. Special Issue, pp. 136-143, 2013.
[3] C. L. T. Borges and D. M. Falcao, “Optimal distributed generation allocation for reliability, losses, and voltage improvement”, Int. J. Elect Power Energy Syst., vol. 28, no. 6, pp. 413–420, Jul. 2006.
[4] Q. Jiang, G. Geng, C. Guo, and Y. Cao, “An efficient implementation of automatic differentiation in interior point optimal power flow,” IEEE Trans. Power Syst., vol. 25, no. 1, pp. 147–155, Feb. 2010.
[5] Intelligent electric grids: elements and modes / the editorship of O.V. Kyrylenko. - Kyiv: Institute of Electrodynamics of NASU, 2016. - 400 p.
[6] V. Popov, E. Yarmoliuk, and P. Zamkovoy, “Algorithm of multicriterial control of microgrids operation modes”, East-European journal of advanced technologies, no. 2, p. 61-68, 2014. - doi: 10.15587 / 1729-4061.2014.23158.
[7] O.V.Kyrylenko O.V. Pavlovskyi, A.O. Yandulskyi, and S.A. Steliuk, “Operation control of electrical station with renewable sources of energy in conditions of frequency variations in electric system”//Technical electrodynamics, no.4, pp. 52-57, 2012.
[8] O.S. Yandulskyi, G.A. Trunina, A.B. Nesterko, “Optimal voltage regulation in distribution electric grid with the source of distributed generation with the account of their belonging to one owner while using the reserve of active power”, Bulletin of Kremenchuk Mykhala Ostrogradskiy National University, vol. 2, pp. 50-54, 2015. Access mode:
[9] O.E. Rubanenko, V.O. Lesko, “Optimal control of EES normal modes with the account of technical state of the transformers with LTC”, Proceedings of the Institute of Electrodynamics of National Academy of Science of Ukraine. Special issue, pp.154-161, 2013. ISSN 1727-9895.
[10] O.B. Burykin, Y.V. Malohulko, “Optimization of operation mode of local elecrtical systems with renewable sources of energy [Text]”, Proceedings of DonNTU. Series Electrical engineering and power engineering», vol.15, no.2, pp. 42-46, 2013. ISSN 2074 - 2630.
[11] P.D. Lezhniuk, O.A.Kovalchuk, O.V.Nikitorovich, V.V.Kulik, Renewable sources in distribution electric grids: Monograph. Vinnytsia, Ukraine: VNTU, p. 204, 2014.
[12] Burykin, O.B. Optimization of the functioning of the renewable energy sources in the local electrical systems / O.B. Burykin, J.V. Malogulko, Y.V. Tomashevskiy, P. Komada, N.A. Orshubekov, M. Kozhamberdiyeva, A. Sagymbekova // PRZEGLĄD ELEKTROTECHNICZNY. - R. 93. - NR 3/2017. - P. 97-102. - ISSN 0033-2097. - doi:10.15199/48.2017.03.23
[13] Seyed Mohammad Hossein Nabavi, Somayeh Hajforoosh, Mohammad A.S. Masoum, “Placement and Sizing of Distributed Generation Units for Congestion Management and Improvement of Voltage Profile using Particle Swarm Optimization”, IEEE Transactions on Power Systems, 2011.
[14] Kulyk V.V. Operational control of the flow of reactive power in the distribution of electrical dispersed generation // Pro-ceedings of the Institute of Electrodynamics National Academy of Sciences. Collected Works. Special-start you. - 2013. - P. 151-158.
[15] Intelligent electricity networks: elements and modes / Ed. OV Kirilenko. - Kyiv: Institute of Electrodynamics of NAS of Ukraine, 2016. - 400 p
[16] Buslavets O. Evalution and increase of load capacity of on-load tap changing transformers for improvement of their regulating possibilities / O. Buslavets, P. Legnuk, O. Rubanenko // Eastern-European journal of enterprise technologies – 2015. – No. 2/8 (74). – P. 35-41. – doi: 10.15587/1729-4061.2015.39881
[17] Lezhniuk P.D. Evaluation of probability characteristics of solar power generation in the problem of intellectualization of local electric systems / P.D Lezhniuk, V.A Komar, S.V. Kravchuk // Vestnik NTU KPI Series: New solutions in modern technologies. - Kharkov: NTU KPI. - 2016. - №18 (1190). - S.92-100. - Doi: 10.20998 / 2413-4295.2016.18.14.
[18] The Law of Ukraine On the Electricity Market dated April 13, 2017, No. 2019-VIII. Access mode: