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

Abstract

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