Some features of autonomous work of wind and solar power stations

Keywords: wind power, solar power, mathematical model, autonomous grid, energy storage


The common drawback of wind and solar power is their dependence on the weather so that the current level of power can only be predicted with some accuracy. This property limits
the possibility of their using an autonomous power system. The options work is possible when all electricity is used without restrictions and scheduling, in other cases some part of the energy
produced is lost or consumer equipment used with significant downtime. The situation could be improved if provided the opportunity to energy accumulation and further use. To optimize
the parameters of such a combined power system can only probabilistic assessment of different operating modes with a given confidence level. Averaged performance of the power is dependent on the probability distribution function of random components, but the presence of accumulating make important not only the quantity but also the sequence of appearance of certain values of generated power. Thus, the current capacity is defined as a random process in real time. Appropriate mathematical modeling allows applying statistical methods that can be generated to determine the likely level of power consumption and the probability of extreme values, and so on. Calculations show for a specific example, the probability of equipment downtime or loss of energy is quite high. The use of electric batteries can reduce these losses or eliminate them. Specific parameters of the battery power can be determined by characteristics of wind and solar power, but the decisive role played by the climatic conditions of the area, seasonal weather changes. Assessment of the particular power system based on wind and solar also needs to study the characteristics of energy consumption, the capacity of its storage,
storage battery properties.

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.


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How to Cite
Kuznietsov, M. (2016). Some features of autonomous work of wind and solar power stations. Vidnovluvana Energetika, (2 (45), 15-21. Retrieved from
Complex Problems of Power Systems Based on Renewable Energy Sources