Development of Sinusoidal Regression Model for Voltage Deviation Evaluation in the Power Quality Assessment of Ado-Ekiti Metropolis
|International Journal of Electrical and Electronics Engineering|
|© 2021 by SSRG - IJEEE Journal|
|Volume 8 Issue 8|
|Year of Publication : 2021|
|Authors : Adeoye, O.S, Ejiko,S.O, Akinwole, O.O|
How to Cite?
Adeoye, O.S, Ejiko,S.O, Akinwole, O.O, "Development of Sinusoidal Regression Model for Voltage Deviation Evaluation in the Power Quality Assessment of Ado-Ekiti Metropolis," SSRG International Journal of Electrical and Electronics Engineering, vol. 8, no. 8, pp. 16-20, 2021. Crossref, https://doi.org/10.14445/23488379/IJEEE-V8I8P103
Power Quality (PQ) modeling and evaluation is very important in recent times due to complexity in the grid network and this was based on the injection of non-linear devices and continuous introduction of renewable energy sources (RES) into the existing networks. The continuous introduction of RES and non-linear devices such as inverters, uninterruptible power supplies has contributed to power quality index such as short, medium, long interruptions, voltage dips, flickers, voltage swells, spikes, and harmonics among others. This paper reviewed the indices of PQ. Measurements were carried out with the aid of multimeter for certain areas of Ado-Ekiti metropolis for a period of 24 hours in aweek. A linear and nonlinear model was developed based on voltage deviation output of straight line and sine trend which are -0.00667 T +0.21 and0.13-0.04 sin 30(T-12) as a function of time of 0 to 11:59 and 12:00 to 24:00 respectively. The result shows that the maximum deviation of 0.21%occurs at 0:00 and decreases as it tends toward noon, while from noon the deviation is in sinusoidal format ranging at 0.09% to 0.17%.
Evaluation, Network Model, Power, Quality, Regression.
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