| Issue |
E3S Web Conf.
Volume 25, 2017
Methodological Problems in Reliability Study of Large Energy Systems (RSES 2017)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 5 | |
| Section | Intelligent energy systems - new challenges in terms of reliability of energy supply | |
| DOI | https://doi.org/10.1051/e3sconf/20172502003 | |
| Published online | 01 December 2017 | |
Probabilistic assessment of power system mode with a varying degree of wind sources integration
1
Azerbaijan Scientific–Research and Designed–Prospecting Institute of Energetics, Baku, Azerbaijan
2
Melentiev Energy Systems Institute, 130 Lermontov str., Irkutsk, Russia
* Corresponding author: huseyngulu@mail.ru
At present among renewable sources the wind and solar plants have the most significant portion of power generation. Randomly changing and intermittent nature of this power leads to the stochasticity of the power grid mode, estimation of parameters of which requires application of probabilistic modeling. In the paper it is proposed an advanced algorithm of probabilistic load flow based on the development of two-point estimation method, the efficiency of which is confirmed on the basis of computational experiments and comparative analysis of the Monte Carlo simulation results. Calculations and analysis of the modeling results were carried out on standard 14-nodal scheme of IEEE and real electrical network of “Azerenerji” Grid.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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