Page 190 - Decision Making Applications in Modern Power Systems

Chapter 6

Adaptive estimation and

tracking of power quality
disturbances with classification

for smart grid applications

2
1
Papia Ray , Harish Kumar Sahoo and Ganesh Kumar Budumuru 1
1
Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla,
2
India, Department of Electronics & Telecommunication Engineering, Veer Surendra Sai
University of Technology, Burla, India
6.1 Introduction

Nowadays, power quality (PQ) has become one of the most important issues
for both utilities and consumers and plays a vital role in the electrical power
systems. Delivering an uninterrupted, high-quality power supply to the end
users is the expectation of electric power systems. The quality of power sup-
ply means the capacity of the power system to deliver undistorted voltage,
current, and frequency signals. Any deviation manifested in frequency, cur-
rent, and voltage from the rated values, which results in the failure of con-
sumer equipment, is described as PQ problem [1]. The sources of issues that
affected the quality of power are generally rapid increase of sensitive loads,
power electronic devices, lightning, switching of capacitor banks, smart
transmission system, integration of renewable energy sources, and nonlinear
loads. The PQ events are categorized into three types followed by the
deviations in the magnitude such as interruption, voltage swell, and voltage
sag because of the inequity of heavy or light loads and power systems
faults. Sudden transients, such as spikes or impulsive transients because of
lightning and capacitor banks switching, come under second category.
Finally, steady-state harmonics, such as flickers and notches due to nonlinear
load applications as well as power electronic converters [2], come under PQ
disturbances. To improve the PQ, we must know the reasons for PQ distur-
bances and mitigate them as early as possible; otherwise it will disturb the
whole system.

Decision Making Applications in Modern Power Systems. DOI: https://doi.org/10.1016/B978-0-12-816445-7.00006-2
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