Comparative assessment of a quasi-sequential and a sequential approach for distribution network stochastic analysis

Abstract

This paper intends to compare two different approaches for the stochastic analyses of low voltage distribution networks. A quasi-sequential approach using a distribution based method and a sequential approach using Seasonal ARMA time series for individual consumption and generation are benchmarked on a low voltage network. A qualitative and quantitative analysis of two scenarios (without and with storage) show the advantages and limitations of both approaches. Additionally, it highlights the great potential of modeling sequentially as new load management techniques will be made available.