Umudike Journal of Engineering and Technology

Michael Okpara University of Agriculture, Umudike


POWER FACTOR IMPROVEMENT IN AN INDUSTRIAL SYSTEM

Onah, A. J.
DEPARTMENT OF ELECTRICAL/ELECTRONIC ENGINEERING, MICHAEL OKPARA UNIVERSITY OF AGRICULTURE

Nwaorgu, A. O.
DEPARTMENT OF ELECTRICAL/ELECTRONIC ENGINEERING, MICHAEL OKPARA UNIVERSITY OF AGRICULTURE

Obasi, R. U.
DEPARTMENT OF ELECTRICAL/ELECTRONIC ENGINEERING, MICHAEL OKPARA UNIVERSITY OF AGRICULTURE



ABSTRACT

In the industrial set-up under consideration, 95% of the load consists of three-phase induction motors. These motors consume large reactive power. A survey showed that the maximum power demand of the industrial set-up was 1428kVA. The corresponding active power was 1000kW. That is to say that the operating power factor was 0.7 lagging. This low power factor led to the large kVA demand from the supply, heavy currents flowing in the cables and switchgears. Eventually, losses in the form of heat were generated in the system equipment, and consequently payment of huge electrical bills. The aim of this paper is to show that losses can be reduced by improving the system power factor, using bank of capacitors. We have also demonstrated how dynamic compensation of reactive power, employing solid state devices like thyristors, could be used to improve power factor. When the optimum power factor of 0.96 was achieved, the overall result is that the system operated more efficiently and electrical losses was drastically reduced from 3936kW to1843kW.


Keywords: Power factor, reactive power, maximum demand, losses, and capacitor.


View: 249 | Download: 2

Published
Monday, June 22, 2015

Issue
Vol. 1 No. 1, June 2015

Article Section
GENERAL

The contents of the articles are the sole opinion of the author(s) and not of UJET.


Open Access
Umudike Journal of Engineering and Technology makes abstracts and full texts of all articles published freely available to everyone immediately after publication thereby enabling the accessibility of research articles by the global community without hindrance through the internet.

Indexing and Abstracting
We are index in Google Scholar, AJOL, and EBSCO.