Probabilistic Modelling of Parameter Variability for Analysing Grid-Connected LV Feeders with DG
Ronald Herman
Charles Trevor Gaunt
10.25375/uct.7217450.v1
https://zivahub.uct.ac.za/articles/journal_contribution/Probabilistic_Modelling_of_Parameter_Variability_for_Analysing_Grid-Connected_LV_Feeders_with_DG/7217450
<p>There is mounting pressure on utilities worldwide to incorporate
renewable energy sources in their distribution of electricity. The
inclusion of distributed generation (DG) on feeders connected to the
grid presents significant problems when feeder performance must be
assessed. Two issues arising from the inclusion of DG are voltage
regulation and reverse power feed. There is variability in the
generation of power from solar panels or from wind turbines due to daily
solar cycles and seasonal (weather related) changes. And then there is
the daily and seasonal variability due to the stochastic behaviour of
domestic loads.</p>
<p><br></p><p>This paper presents an approach for modelling both loads and DG as probability Beta probability density functions (PDFs).</p>
2019-10-18 10:31:56
energy utilities
renewable energy
solar panels
wind turbines
distributed generation
PV models
grid integration
load modelling
probabalistic feeder performance
energy
energy research centre
Energy Generation, Conversion and Storage Engineering