Abstract
This paper describes the features of decision-making process about working modes of hybrid energy grid and indicates tasks, which has to solve the appropriate information system. In order to managing the hybrid electricity grid, it is necessary to have current data and forecast indicators of the functioning of its constituent elements. The fuzzy predictive model of power by solar panel is developed in this research. This model a certain way takes into account the uncertainty associated with both constructive, commutation influences and the impact of predicted insolation and temperature. In the developed model it is possible to use the results of direct measurements of insolation and temperature and the results of their operational forecasting.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Perekrest, A., Shendryk, V., Shendryk, S.: Complex information and technical solutions for energy management of municipal energetics. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 10445 (2017)
Lazarou, S., Oikonomou, D.S., Ekonomou, L.: A platform for planning and evaluating distributed generation connected to the hellenic electric distribution grid. In: Proceedings of the 11th WSEAS International Conference on Circuits, Systems, Electronics, Control and Signal Processing, pp. 80–86 (2012)
Shulyma, O., Shendryk, V., Baranova, I., Marchenko, A.: The features of the smart microgrid as the object of information modeling. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2014. CCIS, vol. 465, pp. 12–23. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11958-8_2
Pakštas, A., Shulyma, O., Shendryk, V.: On defining and assessing of the energy balance and operational logic within hybrid renewable energy systems. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2016. CCIS, vol. 639, pp. 151–160. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46254-7_12
Hettiarachchi, D., et al.: Review of applications of fuzzy logic in multi-agent-based control system of AC-DC hybrid microgrid. IEEE Access 7, 1284–1299 (2019). https://doi.org/10.1109/access.2018.2884503
Nema, R.K., Agnihotri, G.: Computer simulation based study of photovoltaic cells/modules and their experimental verification. Int. J. Recent Trends Eng. 1(3), 151–156 (2009)
Znajdek, K.: Review of simulation models suitability for characterization of actual Si PV cells. In: XII International PhD Workshop OWD 2010, pp. 423–425
Tsuno, Y., Kurokawa K.: Temperature and irradiance dependence of the I-V curves of various kinds of solar cells. In: 15th International Photovoltaic Science and Engineering Conference, PSEC, pp. 422–423 (2005)
Bazilevski, A.B., Lukianenko, M.V.: Simulation of current-voltage characteristics of solar cells. Bulletin of the Siberian State Aerospace University named by Academician M.F. Reshetnyov, no. 4, pp. 63–66 (2005). (in Russian)
Gamarko, A.V.: Methods of numerical approximation of volt-ampere curves of a photovoltaic module. Renewable Energy 1, 33–38 (2016). (in Ukrainian)
Tymchuk, S., Shendryk, S.: Mathematical model of solar battery for balance calculations in hybrid electrical grids. In: International Conference on Modern Electrical and Energy Systems (MEES 2017), Kremenchuk, Ukraine, pp. 204–207
Dotsenko, S.I., Shulyma, O.V.: Calculation of insolation capacity for predicting the production of electric energy by photovoltaic panels. Bulletin of the KHNTUA “Problems of energy supply and energy conservation in the agroindustrial complex of Ukraine”, vol. 176, pp. 8–11 (2016). (in Ukrainian)
Kravchenko, E.V., Bondar, I.V.: Instrumental definition of insolation in the Odessa city. Power Eng. Econ. Technol. Ecol. 1, 20–27 (2016). (in Ukrainian)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Tymchuk, S., Shendryk, S., Shendryk, V., Piskarov, O., Kazlauskayte, A. (2019). Fuzzy Predictive Model of Solar Panel for Decision Support System in the Management of Hybrid Grid. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2019. Communications in Computer and Information Science, vol 1078. Springer, Cham. https://doi.org/10.1007/978-3-030-30275-7_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-30275-7_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30274-0
Online ISBN: 978-3-030-30275-7
eBook Packages: Computer ScienceComputer Science (R0)