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Chapter 4
Power quality issues of smart
microgrids: applied techniques
and decision making analysis
1
1,4
1,2
Yahya Naderi , Seyed Hossein Hosseini , Saeid Ghassemzadeh ,
1
3
Behnam Mohammadi-Ivatloo , Mehdi Savaghebi , Juan Carlos
2
Vasquez and Josep M Guerrero 2
1
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran,
2 3
Department of Energy Technology, Aalborg University, Aalborg, Denmark, SDU Electrical
Engineering, Mads Clausen Institute, University of Southern Denmark (SDU), Odense,
4
Denmark, Engineering Faculty, Near East University, North Cyprus, Mersin 10, Turkey
4.1 Introduction
It is Friday and you have been working all day on a project report that is due
on Monday to be submitted; you are happy that you will be able to finish the
task on time, and that your boss will be proud of you; however, you have
not saved the report for several hours, and all of a sudden everything
changes, a voltage disturbance in the electricity grid reboots your computer,
what a disaster! You are upset, you have lost several hours of work, and you
have to work on the weekend to meet the deadline. The problem is not just
for you, it could be a costly problem for many electricity consumers all over
the world. It was just a very small disturbance of electricity grid, a possible
phenomenon that could happen once in a while if the quality of the power is
low. Considering that, an outage with the duration of less than 100 ms will
have the same effect that a general outage with the duration of minutes on
some industrial process. Based on a research in 2006, it was estimated that
power interruptions cost the United States an amount of $79 billion annually,
which was updated in 2014 to be $110 billion annually [1 3]. The increas-
ing cost of power quality disturbances is an obvious reason for electrical
engineers to pay extra attention to the power quality issue. Other reasons for
the increasing importance of power quality are inclusive application of more
sensitive equipment to voltage disturbances, increasing the number of nonlin-
ear loads, and increasing the awareness of the customers.
Decision Making Applications in Modern Power Systems. DOI: https://doi.org/10.1016/B978-0-12-816445-7.00004-9
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