Probabilistic analysis of maximum allowable pv connections across bidirectional feeders within a distribution network

Abstract

The paper presents a probabilistic approach (PA) to quantify the impacts of increased PV connections in bidirectional feeders within a distribution network. The aim is to establish a tool that can serve distribution network operators (DNOs) in seizing the maximum allowable photovoltaic (PV) connections, and ultimately with their responsibility on providing a reliable and secure power. An uncertainty model based on clearness index is utilized to predict the actual PV power injected into the utility following the Australian meteorological conditions. Three assessment indices are established and assessed using the Quasi Monte Carlo method. A large distribution network situated in South Australia is currently under test where six zones are chosen to have potentials of being bidirectional. The results presented in this paper show that the uncertainty behaviors of PVs differ from a feeder to another and can be quantified to seize the maximum PV allowance.