Probabilistic Available Delivery Capability Assessment of General Distribution Network with Renewables

摘要

Rapid increase of renewable energy sources and electric vehicles in utilitydistribution feeders introduces more and more uncertainties. To investigate howsuch uncertainties may affect the available delivery capability (ADC) of thedistribution network, it is imperative to employ a probabilistic analysisframework. In this paper, a formulation for probabilistic ADC incorporatingrenewable generators and load variations is proposed; a computationallyefficient method to solve the probabilistic ADC is presented, which combinesthe up-to-date sparse polynomial chaos expansion (PCE) and the continuationmethod. A numerical example in the IEEE 13 node test feeder is given todemonstrate the accuracy and efficiency of the proposed method.