Probabilistic aspects of renewable energy using in the Chernobyl Zone

Keywords: local grid, wind power, solar power, mathematical model, optimization


The exclusion zone of Chernobyl allows for the placement of significant wind and solar power plants. These facilities ap­pear localized in relation to the grid, despite the fact that there is network infrastructure and high-voltage power lines needed for transmission of electricity to the national network. However, the use of renewables often raises questions about the impact on the reliability of the grid. This applies to balance of power consump­tion, stability of dynamic processes in power systems, frequency control capabilities, and so on. In these processes, the determin­ing factor is sensitive to current changes in capacity and scope of irregular changes of power generation. Close assessment of "strength" of the network is performed from these factors. The sensitivity to voltage changes of power in the node connecting RES has also been taken into account.

Combining of the different sources of energy used to ensure the stability of generation. Determining the optimal configura­tion of complex local power system requires mathematical mod­eling. A common method is simulation, which allows us to pre­dict various possible combinations of data, using indicators such as average values (mathematical expectations), dispersion, al­lowable rate of change, distribution of probability. This approach takes into account statistics from different time averaging - monthly, daily, current (fixed intervals of a few minutes). Fun­damentally important in this presentation is an opportunity to highlight the estimated component in the changing behavior of RES capacity. Timely forecasting and planning (for the current day and a day ahead) of renewable energy allow us to optimize the structure of a combined power and to achieve economically satisfactory results, as well the implementation of environmental requirements and the needs to ensure reliable operation of the network. Multi-objective optimization is preferred because the presence of diverse requirements, and offered mathematical modeling of complex power system is an efficient way to achieve the goal.

Author Biography

M. Kuznietsov, Institute of Renewable Energy, NAS of Ukraine


Deputy Director of the Institute of Renewable Energy at the NASU, Doctor of technical sciences.

Education: Shevchenko Kyiv State University, Mechanics, and Mathematics.

Main research interests: mathematics, renewable energy.


1. Passey R. еі al. The potential impacts of grid-connected distributed generation and how to address them: A review of technical and nontechnical factors. Energy Policy. - 2011. - №39. - P. 6280-6290.(Eng)
2. Nikolakakis T., Fthenakis V. Modeling the environmental impact of PV and wind large scale penetration in regional grids. IEEE 39th Photovoltaic Specialists Conference (PVSC), FL. - 2013. -P.2326-2330. (Eng)
3. Pavlovskyi V. Є! al. Limitation of RES power under the term of connection to electric network. Works of the IED NAS. -2016.-Vol.43.-P. 18-23. (Ukr)
4. Kuznietsov M. The impact of wind power on the energy system static stability // Vidnovliuvana enerhetyka. - 2015. - №3. -P. 24-30. (Ukr)
5. Billinton R. (Є! al.) Reliability Assessment of Electric Power Systems Using Monte Carlo Methods. Springer Science+Business Media, LLC. - 1994. - 361 р. (Eng)
6. Kuznietsov M. Some features of autonomous work of wind and solar power stations // Vidnovliuvana enerhetyka. - 2016.-№2.-P. 15-21. (Ukr)
7. Kuznietsov M. Features of wind power modeling which are located at a limited area // Vidnovliuvana enerhetyka. - 2014. - №4. -P. 57-61. (Ukr)
8. Kuznietsov M. Modeling of wind and solar power collabora¬tion // Vidnovliuvana enerhetyka. - 2016. - №1. - P. 12-16. (Ukr)
9. Rozen V. et al. Optimization of power generation of com-bined electricity system//Energy -2013. -№1. -P. 20-26. (Ukr)

Abstract views: 53
PDF Downloads: 71
How to Cite
Kuznietsov, M., & Uzheyko, S. (2016). Probabilistic aspects of renewable energy using in the Chernobyl Zone. Renewable and Hydrogen Energy , (3 (46), 6-12. Retrieved from
Complex Problems of Power Systems Based on Renewable Energy Sources