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Probabilistic load flow analysis in Distribution Networks with distributed solar generation
conference contribution
posted on 2023-05-23, 11:49 authored by Warren, JJ, Michael NegnevitskyMichael Negnevitsky, Nguyen, TThis paper presents a method of evaluating node voltages within distribution network using probabilistic load flow (PLF) analysis. It builds on the traditional deterministic load flow (DLF) approach which gives a picture of said network at one specific point in time. The probabilistic approach improves this by taking into account network uncertainties such as fluctuations in household consumption and distributed solar generation. Real household metering and rooftop solar output data was taken from throughout Tasmania distribution network to accurately model these network uncertainties as probabilistic variables. Monte-Carlo Simulation (MCS) is performed using this data on a real section of the distribution network as a case study to show applicability of the developed methodology. The model is validated using historical data from this section of the network. Results show a strong potential for application by Distribution Network Service Providers (DNSP).
History
Publication title
Proceedings of the IEEE Power and Energy Society General Meeting 2016Pagination
1-5ISBN
978-1-5090-4168-8Department/School
School of EngineeringPublisher
Institute of Electrical and Electronics EngineersPlace of publication
United States of AmericaEvent title
IEEE Power and Energy Society General Meeting 2016Event Venue
Boston, MADate of Event (Start Date)
2016-07-17Date of Event (End Date)
2016-07-21Rights statement
Copyright 2016 IEEERepository Status
- Restricted