State estimation of low voltage distribution network with integrated customer-owned PV and storage unit

Motaz Ayiad, Hugo Martins, Onyema Nduka, Bikash Pal

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The growing integration of rooftop photovoltaics (PVs) and energy storage units (ESUs) in customer households has resulted in changes in the customer load profiles. This is likely to influence the accuracy of state estimation (SE) carried out based on previously assumed load profiles. In this paper, a statistical model for modern low voltage (LV) customers was developed using Gaussian mixture model (GMM). The resulting model was subsequently applied to SE using weighted least squares (WLS) algorithm. LV network with high penetration of customer-owned PV and ESUs have been simulated. Different scenarios which include load profiles: with PVs integrated but without ESUs, ESUs alone, and with hybrid systems (combination of PVs and ESUs) have been considered. The results are presented and discussed.
Original languageEnglish
Title of host publication2019 IEEE Milan PowerTech
Number of pages6
ISBN (Electronic)978-1-5386-4722-6
ISBN (Print)978-1-5386-4723-3
Publication statusPublished - 26 Aug 2019

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