Thesis Project: Power Quality Analysis at Murdoch University eng470: Engineering Honours Thesis


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%
 Un
b
al
an
ce
 Vo
ltage 
Fact
o
r
Time of the Day
UBF 
UBF(sqrt((1-a)/(1+a))*100)
Figure 34: Unbalance Voltage Factor


Power Quality Analysis at Murdoch University 
56 
therefore, there may a voltage unbalance. Nevertheless, it definitely must be lower than 
when facilities at working at the almost optimal condition.
In comparison, voltage unbalance according to National Electrical Manufacturers Association 
(NEMA) is defined as the maximum deviation from the average line voltage referred to the 
average of the line voltages times 100 [61]. Mathematically, this is given as [62], and it was 
calculated using equation (24): 
V
av
− V
L
V
av
∗ 100 (33) 
Where: 
V
av
=
V
L1
+ V
L2
+ V
L3
3
(34)


Power Quality Analysis at Murdoch University 
57 
Chapter 5: Conclusion and Future Work 
To summarize, this project has discussed and analysed about power quality analysis at 
Murdoch University, in particular from 1.330, in substation 12, South Street Building 330, 
chancellery. From the literature in this project, the most common type of power disturbances 
was identified to be harmonic distortion, voltage transients, voltage sags, and short power 
interruptions. In addition, from the literature, it was found that most of the power quality 
problems originate from the end user’s equipment. 
Costs that are associated with poor power quality are classified into direct costs and indirect 
costs. Direct costs include production losses, costs associated with damage to equipment
environmental and financial penalties, costs based on restarting the process, expenditure on 
salary during down times, resources and unrecoverable downtime. Moreover, costs including 
human health and safety, financial penalties due to a breach of contracts, utility costs because 
of a power interruption and loss of quality of semi-finished products. On the other hand, 
indirect costs include costs of restoring a brand, loss of market share and postponement of 
income or revenue of the organization. 
In this project, power data was measured from the electrical system at Murdoch University 
and saved in the form of spreadsheets. From these spreadsheets, calculations were done and 
graphs plotted in order to identify the power quality issues experienced at the institution. 
After identification of the power quality issues, the effect of these issues on parameters such 
as voltage angle and phase, current angle and phase, temperature of the equipment was 
determined either by calculation or visually from the plots of these parameters. These results 
were then compared to the theoretical principles contained in the literature review section.


Power Quality Analysis at Murdoch University 
58 
The results indicate that at the institution the power quality factors experienced are voltage 
unbalance, current unbalance, distortion in current angle, harmonic distortion, and power 
factor. Using both the IEC and NEMA methods, the percentage voltage unbalance was found 
to be lower than the maximum set value of 2 %. As a result, this voltage unbalance would not 
affect three-phase equipment in the system. However, the current unbalance was found to 
be extremely high, and this is not safe for the equipment as it can result in heating and thus 
degradation in windings of motor and transformers and a reduction of their efficiency. The 
harmonic distortion measured from the institution that ranges between 1.8 and 2.8 % is lower 
than the 5 % limit, and therefore is also safe for use with equipment. From these results, it is 
clear that the power received at the institution is of high quality, and hence safe for use with 
equipment. The major problem is the high current unbalance and the distortions in the 
current angle. In fact, by using compensating device UPQC consequently should be employed 
in the institution electrical network in order to decrease current unbalance and distortions of 
the current angle.
The significant goal of this project of performing a power quality analysis at Murdoch 
University to identify the causes of poor power quality and provide solutions to improve the 
power quality as well as all the specific objectives that had been set before the 
commencement of this research have all been achieved. Accordingly, both power consumers 
and the electric utility will find this project of considerable significance. There will be a 
decrease in the occurrence of power quality disturbances as through this project these 
disturbances can be identified monitored, predicted, and mitigated thus power consumers 
will benefit from less malfunctions of electronic devices. Less malfunctioned devices translate 
to cost savings for the consumers because of the reduced repair and maintenance costs 


Power Quality Analysis at Murdoch University 
59 
required for malfunctioned devices. Since the power quality disturbances can be identified, 
monitored, predicted, and mitigated through this project. Subsequently, industrial consumers 
will benefit from lower interruptions of production. This translates to higher quality of 
products, cost savings since idle time of personnel throughout the interruption would be 
decreased, and the industry also benefits from less equipment damage. The electric utility 
may gain considerable knowledge regarding their transmission, distribution network, and 
sources of power quality disturbances in the electricity grid through this project. Therefore, 
this project is of great significance to them. 
5.1 Future Work Opportunities for the Power Quality Analysis at Murdoch 
University 
First of all, in the project presented in this thesis report, data was collected from the electrical 
network of the institution and used to identify the power quality issues experienced at the 
institution. Further work that can be conducted involves taking a detailed study of each power 
quality issue identified and proposing a solution to decrease the power quality issue. After 
installation of the proposed solution to the network, more tests should be carried out and 
analysis of the test results done in order to prove the effectiveness of the proposed solution. 
In addition, another further work that can be performed finds out the individual harmonic 
order such as even order (2, 4, 6, 8) and odd order (3, 5, 7, 9). By doing this for all the power 
quality issues identified, then we can conclusively say a problem was identified and a practical 
and working solution presented to solve the problem. The conclusion will not be based on 
theoretical information, but on proved and tested information.


Power Quality Analysis at Murdoch University 
60 
Because of the increased adoption of the internet of things and automation in the world 
currently. An algorithm can be developed that automatically computes and plots the power 
quality issues from the data it receives from a power quality meter. The automated system 
then transmits the computed data and plotted graphs to a power quality expert for further 
action. In this system, the power quality meters will automatically send the data it measures 
to a computer containing the algorithm. After processing the data, the computer will transmit 
the processed information to an expert for further action. This algorithm can be designed in 
such a way that it can be trained to monitor and even predict the occurrence of a power 
quality issue. Furthermore, the algorithm can be designed to have additional functionalities 
such as predicting failure of equipment in the network due to a reoccurrence of a power 
quality issue. 


Power Quality Analysis at Murdoch University 
61 
Reference List 
[1] CEA Technologies Inc. (CEATI), “Power Quality: Energy Efficiency Reference,” CEA 
Technologies Inc. (CEATI), Ontario, 2007. 
[2] C. Sankaran, Power Quality, Florida: CRC Press, 2002. 
[3] "Why is good power quality necessary," MERUS POWER, 13 October 2016. [Online]. 
Available: http://www.meruspower.fi/why-is-good-power-quality-necessary/. [Accessed 3 
January 2018]. 
[4] A. Baggini, Handbook of Power Quality, West Sussex- England: John Wiley and Sons, 
2008. 
[5] M. M. Canteli, “Power Quality Monitoring,” in Power Quality Mitigation Technologies in a 

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