ASSESSMENT OF CYCLICAL AND STOCHASTIC WIND FLOW TO ENSURE POWER SYSTEM RELIABILITY
https://doi.org/10.17747/2618-947X-2023-2-229-232
Abstract
This article highlights current issues related to the problem of variability of wind power generation, which is becoming increasingly important as wind power’s contribution to the overall energy balance of many countries grows. Various aspects of wind flow volatility, including its random and deterministic components, are considered. The random component is associated with unpredictable changes in wind speed and direction, while the deterministic component is due to known patterns, such as daily and seasonal variations. The article proposes different methods for levelling the stochasticity of wind power flows. This is important for the stability and reliability of the power system, as it reduces the likelihood blackouts and ensures a more even distribution of load. The article also gives examples of the economic and environmental impact of using the proposed methods.
About the Authors
V. A. Zubakin
The Gubkin State University of Oil and Gas (Moscow, Russia)
Russian Federation
Russian Federation
Postgraduate student, Department of Renewable Energy Sources, The Gubkin State University of Oil and Gas (Moscow, Russia), co-founder of the LLC ‘NPO B & B Industries’ (Moscow, Russia).
Research interests: wind energy, renewable energy sources, forecasting the production of electrical energy in a wind power plant.
K. N. Yusupov
The Gubkin State University of Oil and Gas (Moscow, Russia), NPO ‘B&B Industries’ (Moscow, Russia)
Russian Federation
Russian Federation
Doctor of economics, professor, founder and head of the Department of Renewable Energy Sources, The Gubkin State University of Oil and Gas (Moscow, Russia). SPIN: 6075-0628; Author ID: 713925.
Research interests: economics and energy forecasting, economics of renewable energy sources, economics of distributed generation, economics of virtual power plants, risk management in the fuel and energy complex.
References
1. Zubakin V.A., Kovshov N.M. (2015). Methods and models for analyzing the volatility of RES generation, taking into account cyclicity and stochasticity. Strategic Decisions and Risk Management, 4(91): 86-98. https://cyberleninka.ru/article/n/metody-i-modeli-analiza-volatilnosti-vyrabotki-viz-s-uchetom-tsiklichnosti-i-stohastichnosti.
2. Shuvalov N., Karasevich V., Velichko A. (2022). Improving the accuracy of forecasting renewable energy generation using neural network algorithms of a virtual power plant. In: Materials of the D.I. Mendeleev International Scientific and Practical Conference: Collection of articles, 1.
3. Bossavy A., Girard R., Kariniotakis G. (2010). Forecasting uncertainty related to ramps of wind power production. European Wind Energy Conference and Exhibition, Warsaw, Poland.
4. Kamran M. (2023). Fundamentals of smart grid systems. Academic Press, 365-392. https://doi.org/10.1016/B978-0-323-99560-3.00007-7. https://www.sciencedirect.com/science/article/pii/B9780323995603000077.
Review
For citations:
Zubakin V.A., Yusupov K.N. ASSESSMENT OF CYCLICAL AND STOCHASTIC WIND FLOW TO ENSURE POWER SYSTEM RELIABILITY. Strategic decisions and risk management. 2023;14(2):229-232. https://doi.org/10.17747/2618-947X-2023-2-229-232
Views:
344
Email this article 