TITLE:
In-Situ Domestic Load Harmonic Detection and Reduction Based on GLRM Algorithm for Optimum Filter Excerpt
AUTHORS:
Deepthi Joseph, N. Kalaiarasi, K. Rajan
KEYWORDS:
Power Quality, Domestic Appliances, Harmonic Detection, Harmonic Control, Filter, GLRM Algorithm
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.9,
July
5,
2016
ABSTRACT: Power Quality measures the
reliable operation between the system and to the connected loads of same
system. A poor power quality causes physical damage to the equipment and also
results in lower productivity with increase in energy costs. Power disturbances
range from micro seconds to hours and the prolonged disturbances in hours would
damage the equipments. The power quality decreases due to growth of nonlinear
loads in domestic appliances, such as home Uninterrupted Power Supplies (UPS),
Induction stove, Television etc. Nowadays Domestic loads are controlled or
powered with power electronic devices. The power electronic devices with Direct
Current (DC) components generate high frequency signal for DC-Alternating
Current (AC) conversion. The conversion introduces multiple frequencies in the
AC power supply. The multiple frequencies in AC power supply are called as
harmonics. The harmonics in AC supply affects the lifetime of home appliances,
consumes more electric current, affects the power factor, transformer
efficiency, and other electricity supply systems. Till now, to avoid harmonics,
the filters are erected only in industrial loads or in the substations. In this
paper a novel method to detect and control harmonics in domestic appliances is
proposed. Harmonic control with various filters in the filter bank, based on
detection of harmonic voltage let out from the domestic appliances for power
saving. To select the appropriate filter to improve power quality, we apply a
novel Genetic Algorithm based Linear Regression Method (GLRM) algorithm for
optimum Filter Selection. From the results we were able to reduce the total
harmonic distortion level to 3.68%.The current consumption of each household
appliance is reduced considerably and finally the electricity bill is reduced
to 15% and overall system efficiency improves to 85%.