DocumentCode
2386240
Title
Mitigation of harmonics in smart grids with high penetration of plug-in electric vehicles
Author
Masoum, Mohammad A S ; Deilami, Sara ; Islam, Syed
Author_Institution
Dept. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
fYear
2010
fDate
25-29 July 2010
Firstpage
1
Lastpage
6
Abstract
Smart grids provide an excellent opportunity to improve the performance and the power quality of distribution system. This paper addresses a simple and effective approach to improve the quality of electric power in smart grids with high penetration of smart appliances such as plug-in electric vehicles (PEV). Assuming a typical daily load curve, decupled harmonic load flow (DHLF) formulation is used to model the distorted grid, identify the worst bus and calculate the total harmonic distortion (THD) over a period of 24 hours. The possibility of reducing THD (e.g., to 5%, as recommended by IEEE-519) by optimal dispatch of LTC and shunt capacitors is first investigated. Otherwise, for systems with high penetration of smart appliances, passive filter banks are placed at the worst buses and the switching devices are rescheduled to improve the overall quality of electric power. This approach is demonstrated for the IEEE 30-bus 23 kV distribution system and case studies are presented to demonstrate its effectiveness.
Keywords
electric vehicles; power distribution; power supply quality; power system harmonics; smart power grids; IEEE 30-bus; IEEE-519; distribution system power quality; electric power quality; harmonics mitigation; passive filter banks; plug-in electric vehicles; shunt capacitors; smart appliances; smart grids; switching devices; voltage 23 kV; GA; LTC; Smart grid; THD; optimal dispatch; passive filter; plug-in electric vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location
Minneapolis, MN
ISSN
1944-9925
Print_ISBN
978-1-4244-6549-1
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PES.2010.5589970
Filename
5589970
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