DocumentCode :
2276877
Title :
Novel Green Plug switched filter schemes based on Multi Objective Genetic algorithm MOGA for single phase induction motors
Author :
Sharaf, Adel M. ; Elgammal, Adel A A
Author_Institution :
Centre for Energy Studies, Univ. of Trinidad & Tobago UTT, Trinidad and Tobago
fYear :
2010
fDate :
25-27 Aug. 2010
Firstpage :
1
Lastpage :
6
Abstract :
The paper presents a family of novel switched smart filter compensated devices using Green Plug Smart Filter Soft Starter GP-SF-SS devices for small single phase induction motors. GP-SF-SS devices are equipped with a dynamic online error driven optimally tuned controller that ensures improved power factor, reduced feeder losses, stabilized voltage, minimal current ripples and efficient energy utilization/conservation with minimal impact on the host electric grid security and reliability. The family of GP-SF-SS schemes is intended for use with residential / commercial motor drives used in water pumping, ventilation, air conditioning, compressors, refrigeration applications. The outcome is improved power quality, efficient utilization and reduced KWh energy consumption. The family of Green Plugs, Smart Filters and Soft Starters are all low cost additions with an estimated cost of $10-15/KVA ratings and with payback periods ratings from 6-12 months at most.
Keywords :
energy conservation; energy consumption; genetic algorithms; induction motor drives; power factor; power filters; power grids; power supply quality; starting; GP-SF-SS device; KWh energy consumption; MOGA; commercial motor drives; current ripples; energy utilization; feeder loss reduction; green plug switched filter soft starter scheme; host electric grid security; multi objective genetic algorithm; power factor; power quality; refrigeration applications; reliability; single phase induction motor; small single phase induction motor; stabilized voltage; water pumping; Efficiency Optimization; Energy Conservation; Multi Objective Genetic Algorithm MOGA; Single-Phase Induction Motors Drives; Switched/Modulated Power Filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power and Energy Conference (EPEC), 2010 IEEE
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4244-8186-6
Type :
conf
DOI :
10.1109/EPEC.2010.5697240
Filename :
5697240
Link To Document :
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