Technical and economic stochastic modeling of new generating facilities to mitigate uncertainty impacting the feasibility study projections.

Анотація

The research relates to the challenges on improving the accuracy of simulating objects with
inaccurate/uncertain technical and nontechnical parameters where different deterministic and
stochastic modeling techniques have been developed to deal with uncertainties in decision making
for renewable energy sources RES, where is exploiting the probabilistic methods like Monte Carlo
Simulation and Point Estimate methods.
The three-point estimation technique was employed to analyze the stochastic parameters of the
model which is represented by the distribution functions of their probable value.
A synthetic skewed probability density function (PDF) was modeled based on the standard normal
distribution, which is fitting for modeling the uncertain parameters for renewable energy in power
systems.