Solar PV stochastic hosting capacity in distribution networks considering aleatory and epistemic uncertainties

• A stochastic approach, “mixed aleatory-epistemic”, for estimating solar PV hosting capacity. Introduction and discussions of the two types uncertainties, “aleatory epistemic”. Explanation linking uncertainties during ToD with highest overvoltage likelihood. Illustration method in quantifying single-phase three-phase This paper proposes a method, ''mixed aleatory-epistemic“, capacity (HC) low-voltage (LV) distribution networks. The approach treats aleatory epistemic different way. HC is estimated by applying transfer impedance matrix, 'which only calculated once', superposition principle to determine voltage magnitude rise due PV. By distinguishing between calculations are limited relevant hours (time-of-day or time-of-year) which high production expected. In this way, random (background voltage, production, local consumption) modelled their probability distributions selected time period. (installed per customer, number customers PV, phase units connected) created simple models involving interval value possible occurrence. proposed applied three LV networks illustrate method. results show that both affect HC. need network planners identify distinguish emphasised.