Keywords
hybrid power system
stochastic optimization
How to Cite
Abstract
The combination of wind and solar power stations in a generating complex along with accumulating devices increases the reliability of local power supply. However, the economic efficiency of such a complex essentially depends on the optimal power ratio. Since current wind and solar energy are of an occasional nature, optimization tasks should be formulated taking into account stochastic factors. Different requirements for the power complex are possible, which correspond to different types of stochastic optimization tasks. The classification and formulating methods of such tasks are proposed, depending on the choice of criteria of optimality. References 6, figure.
References
Kuznietsov M.M. Modeling of the wind and solar power common work. Vidnovluvana energetyka. 2016. Vol. 1. P. 12–16. (Ukr.)
Victor O. Okinda, Nichodemus A. Odero. A review of techniques in optimal sizing of hybrid renewable energy systems. IJRET: International Journal of Research in Engineering and Technology. Issue 11, 2015. P. 153–163.
Gitman M.B. Introduction to stochastic optimization: Perm National Research Politechnical University, 2014. 104 p. (Rus)
Kuznietsov M.P. Features of optimization of hybrid power systems. Materials of the XVII International Scientific and Practical Conference. Vidnovluvana energetyka v 21 stolitty. Kyiv: 2016. P. 102–107. (Ukr.)
СОУ-Н ЕЕ ЯЕК 04.156:2009. Main requirements to regulation of frequency and capacity in the IPS of Ukraine. Guideline. (Ukr)
Niknam T. A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources. Applied Energy, Issue 88, 2011. Р. 4817–4830.
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Copyright (c) 2018 M.P. Kuznietsov, O.A. Melnyk