DocumentCode
645773
Title
Determining reactive power levels necessary to provide optimal feeder line voltage regulation
Author
Seuss, John ; Harley, Ronald G.
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2013
fDate
22-24 Sept. 2013
Firstpage
1
Lastpage
6
Abstract
An increasing adoption of rooftop photovoltaic (PV) generators presents a growing opportunity for the use of their grid-tie inverters to provide reactive power compensation on medium- and low-voltage distribution networks. This paper presents a generalized method based on particle swarm optimization (PSO) for determining how much reactive power is necessary to provide control over the voltage profile of the distribution line for any given operational condition and number of PV connections. The method is tested with data based on the IEEE benchmark 13-bus feeder system and simulations are run in DIgSILENT using the same system to validate the results. A future two-level distributed control architecture is described that will utilize the methods developed in this paper to provide reactive power compensation for voltage control of an entire feeder line without the need for global information sharing.
Keywords
distributed control; particle swarm optimisation; photovoltaic power systems; power distribution control; voltage control; DIgSILENT; IEEE benchmark 13-bus feeder system; PSO; PV connections; distribution line; optimal feeder line voltage regulation; particle swarm optimization; reactive power compensation; reactive power levels determination; two-level distributed control architecture; voltage control; voltage profile; Equations; Inverters; Load flow; Load modeling; Mathematical model; Reactive power; Voltage control; conservative voltage reduction; distributed control; particle swarm optimization; photovoltaic; reactive power compensation; voltage regulation;
fLanguage
English
Publisher
ieee
Conference_Titel
North American Power Symposium (NAPS), 2013
Conference_Location
Manhattan, KS
Type
conf
DOI
10.1109/NAPS.2013.6666924
Filename
6666924
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