Multi-agent systems for modeling high penetration photovoltaic system impacts in distribution networks
Pezeshki, Houman, Wolfs, Peter, & Johnson, Matthew (2011) Multi-agent systems for modeling high penetration photovoltaic system impacts in distribution networks. In 2011 IEEE PES Innovative Smart Grid Technologies Asia, IEEE, Perth, Western Australia, pp. 1-8.
This paper reviews the use of multi-agent systems to model the impacts of high levels of photovoltaic (PV) system penetration in distribution networks and presents some preliminary data obtained from the Perth Solar City high penetration PV trial. The Perth Solar City trial consists of a low voltage distribution feeder supplying 75 customers where 29 consumers have roof top photovoltaic systems. Data is collected from smart meters at each consumer premises, from data loggers at the transformer low voltage (LV) side and from a nearby distribution network SCADA measurement point on the high voltage side (HV) side of the transformer. The data will be used to progressively develop MAS models.
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|Item Type:||Conference Paper|
|Keywords:||SCADA systems, distribution networks, multi-agent systems, photovoltaic power systems, power engineering computing, power system measurement, power transformers, MAS models, Perth solar city high penetration PV trial, consumer premises, data loggers, distribution network SCADA measurement point, high penetration photovoltaic system modeling impacts, high voltage side side, low voltage distribution feeder, roof top photovoltaic systems, smart meters, transformer low voltage side, Adaptation models, Computational modeling, Data models, Load modeling, Multiagent systems, Power systems, Voltage control, distribution network, photovoltaic systems, power quality, voltage rise|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||16 Dec 2014 05:47|
|Last Modified:||06 Jan 2015 05:24|
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