| Issue |
E3S Web Conf.
Volume 216, 2020
Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2020)
|
|
|---|---|---|
| Article Number | 01167 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202021601167 | |
| Published online | 14 December 2020 | |
Statistical models of renewable energy intermittency
1 Tashkent State Technical University named after Islam Karimov, 100095, Uzbekistan, Tashkent, University St. 2A
2 Karakalpak State University, 230100, Uzbekistan, Nukus, Ch. Abdirov St.1
* Corresponding author: ilider1987@yandex.com
One of the big mitigating factors of intermittency is the smoothing effect of geographical distribution of variable renewable energy (VRE ) plants on the aggregate power output of VRE generation on a utility network. The greater the distance between two renewable plants, the less likely their output is to be affected by the same weather event (e.g. cloud coverage, storms, dust storms). This is similarly the case for smaller timescales. Further, different technologies can often be uncorrelated or even negatively correlated (e.g. wind and solar) which reduces the integration cost. In this article analyzed and quantify the expected intermittency in Uzbekistan focusing on the geographical dispersion by looking at various sites as well as by looking at a portfolio composed of different technologies.
© The Authors, published by EDP Sciences, 2020
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.
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