Probabilistic load flow of islanded microgrid with droop-controlled distributed generations

Abstract

This paper proposes a method of the probabilistic load flow calculation of islanded microgrid (IMG) with droop-controlled distributed generations (DGs). The deterministic load flow is calculated based on Newton Raphson method considering the droop characteristics of DGs. The Monte Carlo method is applied for the evaluation of probabilistic distribution of load flow variables. The stochastic models of distributed generating systems including wind turbines and photovoltaic (PV) systems are established. The load model is considered as following a normal distribution. The effectiveness and efficiency of the proposed method are tested on a modified IEEE33 test system.