DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-3, Issue-2 ( Feb, 2015 ) | |||||||||
Paper Title |
LTC And Shunt Capacitor Switching In Smart Grid: Sensitivity To Plug-In Electric Vehicle Forecasts | |||||||||
Author Name |
Sara Deilami | |||||||||
Affilition |
Member, IEEE, Department of Electrical and Computer Engineering, Curtin University, Perth, WA, Australia | |||||||||
Pages |
10-14 | |||||||||
Abstract |
Optimal scheduling of transformer load tap changer (LTC) and switched shunt capacitors (SSCs) in smart grid (SG) with plug-in electric vehicles (PEVs) and nonlinear loads can be performed to reduce system losses, node voltage fluctuations and total harmonic distortion (THD). This paper investigates the effects of vehicles’ plug-in time forecast errors on performance of LTC and SSCs switching. First, a genetic algorithm (GA) is used to determine the optimal switching schedules within the 24 hours based on forecasted daily load curves of residential feeders with random PEV charging activities. Then, system performance without and with forecasting errors are presented and compared. Simulations are performed for a 449 node SG test system with nonlinear loads and PEVs. Keywords- Smart Grid, Forecasted PEVs, LTC and Switched Shunt Capacitor Scheduling. | |||||||||
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