DocumentCode :
164363
Title :
LTC and switched shunt capacitor scheduling in smart grid with electric vehicles and wind distributed generation systems
Author :
Deilami, Sara ; Naghibi, Bahman ; Janfeshan, Keyhaneh
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ., Perth, WA, Australia
fYear :
2014
fDate :
Sept. 28 2014-Oct. 1 2014
Firstpage :
1
Lastpage :
6
Abstract :
Future smart grids (SGs) are expected to include distributed generations (DG), plug-in electric vehicles (PEVs) and smart appliances, as well as nonlinear industrial loads that may decrease grid efficiency and deteriorate the quality of electric power. This paper performs optimal (load tap changer)LTC and switched shunt capacitor (SSC) in SGs with nonlinear loads, wind distributed generation (WDGs) systems and PEV charging at consumers´ premises and PEV charging stations (PEV-CSs). The substantial grid energy requirements at high PEV penetrations is assumed to be partially supplied by WDGs located within the distribution network. PEV charging is performed based on a recently proposed online maximum sensitivities selection based coordination algorithm (OL-MSSCA), nonlinear loads are assumed to inject low order odd current harmonics and WDGs are treated as negative PQ loads in the employed decoupled harmonic load flow (DHLF) algorithm. Simulations are performed for the modified IEEE 23kV distribution system with three WDGs, three PEV-CSs and 22 low voltage residential networks with PEVs. Impacts of PEV coordination and WDG on the LTC/SSC scheduling outcomes including grid losses, voltage profiles and THDs are investigated.
Keywords :
distributed power generation; distribution networks; electric vehicles; load flow; power generation scheduling; smart power grids; wind power plants; LTC; decoupled harmonic load flow algorithm; distributed generations; distribution network; electric power; load tap changer; nonlinear industrial loads; nonlinear loads; online maximum sensitivities selection based coordination algorithm; plug in electric vehicles; residential networks; smart grid; substantial grid energy requirements; switched shunt capacitor scheduling; wind distributed generation systems; Australia; Capacitors; Educational institutions; Harmonic analysis; Optimal scheduling; Smart grids; Switches; DG; PEV; coordinated charging; wind generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Conference (AUPEC), 2014 Australasian Universities
Conference_Location :
Perth, WA
Type :
conf
DOI :
10.1109/AUPEC.2014.6966570
Filename :
6966570
Link To Document :
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