Some features of autonomous work of wind and solar power stations
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.
2. Esmaeili S., Shafiee M. Simulation of dynamic response of small wind-photovoltaic-fuel cell hybrid energy system //Smart Grid and Renewable Energy – 2012. – №3. – Рp. 194–203.
3. Systems wind turbogenerating. – Part.12. Testing wind turbine to determine energy performance. DSTU IES 61400-12:2001 – 2003. – 38 p.
4. V.Okinda, N.Odero. A review of techniques in optimal sizing of hybrid renewable energy systems //International Journal of Research in Engineering and Technology. – 2015. – Vol.4. – №11. – Рp. 153–163.
5. J.Ehnberg, M.Bollen. Simulation of global solar radiation based on cloud observations // Solar Energy – 2005. – Рp. 157–162.
6. R.A1 Badwawi1, T.K.Mallick. A Review of Hybrid Solar PV and Wind Energy System // Smart Science – 2015. – V.3. – №3. – Рp. 127–138.
7. Kuznietsov M.M. Modeling cojoint pwerformance of wind and solar power plants operation //Vidnovliuvana enerhetyka – 2016. – №1. – Pp. 12–16.
8. http:// eosweb.larc.nasa.gov, satel-light.com
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