Implementation of Voltage Optimization for Sustainable Energy

The voltage control in the power distribution network is challenged firstly by constantly increasing in power demand and secondly by a growing number of distributed connections, which significantly changes the load flow in the network. Situation is worsening with the current heavily implemented micr...

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Main Authors: Tan, Jian Ding (Author), Paw Koh, Siaw (Author), Teng Au, Mau (Author), Tiong, Sieh Kiong (Author), Ali, Kharudin (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-10-01.
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001 ijeecs14455_9341
042 |a dc 
100 1 0 |a Tan, Jian Ding  |e author 
100 1 0 |e contributor 
700 1 0 |a Paw Koh, Siaw  |e author 
700 1 0 |a Teng Au, Mau  |e author 
700 1 0 |a Tiong, Sieh Kiong  |e author 
700 1 0 |a Ali, Kharudin  |e author 
245 0 0 |a Implementation of Voltage Optimization for Sustainable Energy 
260 |b Institute of Advanced Engineering and Science,   |c 2018-10-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/14455 
520 |a The voltage control in the power distribution network is challenged firstly by constantly increasing in power demand and secondly by a growing number of distributed connections, which significantly changes the load flow in the network. Situation is worsening with the current heavily implemented micro-generation of Solar PV. Consequently, the uncontrollable rapid changes in the power distribution network would affect voltage instability at the feeder with wide area power demand. Voltage instability would affect the energy efficiency of the electrical equipment. Moreover, the lifespan of some equipment would be shortened due to the excessive and unstable voltage supplied. The proposed research aims to implement the low impedance voltage optimization system in solving the existing problem. The voltage optimization system had been tested on both resistive and inductive loads. The power consumption of the loads had been measured at a few discrete values of voltage optimization within the statutory region. Further tests were conducted on industrial water pump, general lightings with mixed loads, office building, restaurant and plastic injection moulding machine. The power measurements were logged and the results in term of power consumption were analysed. The results showed that the proposed optimization mechanism successfully optimize and saved 6.81%, 14.42%, 13.97%, 12.23%, and 26.23% of the power consumptions in respective tests. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Voltage Optimization; Low Impedance; Microgeneration. 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 1: October 2018; 341-347 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/14455/9341 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/14455/9341  |z Get fulltext