Data-driven probabilistic power flow analysis for a distribution system with renewable energy sources using Monte Carlo simulation

Conference Object

Abstract: This paper investigates the effect of uncertainty in the allocation of photovoltaic (PV) generation,

Palabras claves:

Distributed Energy Resources (DERs), Kernel Density Estimation, Monte Carlo simulation (MCS), photovoltaic (PV) systems, proabilistic power flow, renewable energy sources

Autores:

Gonzalo Esteban Constante-Flores, Illindala M.S.

Fuentes:

scopus