An algorithm for assessment of the impact of renewable energy sources on the power flow of the electric power system

The problem for the assessment of renewable energy sources impact on the power flows and transients of the electric power system becomes relevant, due to their continuously growing share in the energy mix. In the literature there are many algorithms for power flow analysis which consider the uncertain nature of the renewables. These algorithms in some cases involve solving optimizations problems and require statistical initial data. This paper proposes an easy to implement probabilistic power flow algorithm which requires minimal input data and it is based on the Monte Carlo method. The algorithm is fast and capable to assess the impact of renewable energy sources on the loading of the power lines and transformers, as well as the voltage levels in the network. It is implemented and tested in a software tool for power system analysis developed by the authors. The presented results prove the practical application of the algorithm for solving this type of problems.