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Course Detail

Course Name Power Quality Management
Course Code 23AID466
Program B.Tech in Artificial Intelligence and Data Science
Credits 3
Campus Coimbatore , Amritapuri ,Faridabad , Bangaluru, Amaravati

Syllabus

Unit 1

Introduction to Power Quality Management:Definition and importance of power quality – Power quality terminology and units of measurement – Common power quality problems and their sources – Effects of power quality problems on electrical systems and equipment – Power quality indices and their significance – Power quality standards – Overview of power quality measurements and monitoringText Books / References

Unit 2

Power Quality Problems:Harmonics and their causes – Harmonic distortion and its impact on electrical systems and equipment – Filtering techniques for mitigating harmonics – Voltage sags and swells: Overview, causes, effects and mitigation – Transient over- and under-voltages: Overview, causes, effects and mitigation

Unit 3

Power Quality Improvement Techniques:Overview and comparison of different techniques and their effectiveness – Reactive Power Compensation: overview and design – Active Power Filtering: overview and design – Energy storage for power quality improvement – Analysis and interpretation of power quality data.

Objectives and Outcomes

Course Objectives

  • The course aims to enable students to understand the fundamental concepts of power quality management.
  • The course shall empower the students to identify the various sources of power quality problems.
  • The course aims to equip students with the ability to analyse power quality data and draw conclusions about the nature of the issues.
  • Finally, the course shall enable students to develop data-driven solutions for power quality problems.

Course Outcomes

After completing this course, students will be able to

CO1

Identify and diagnose common power quality problems, their sources, effects, and significance.

CO2

Analyse the impact of various power quality problems on electrical systems and equipment.

CO3

Evaluate different power quality improvement techniques, towards the design optimal solutions

CO4

Interpret power quality data and formulate data-driven solutions for the quality improvement.

CO-PO Mapping

PO/PSO

PO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

PSO1

PSO2

PSO3

CO

CO1

2

3

1

3

2

1

2

2

2

2

CO2

2

2

1

3

2

1

2

1

2

1

1

CO3

2

3

2

3

2

1

1

2

2

3

2

CO4

3

3

3

3

2

1

2

1

2

3

3

Evaluation Pattern

Evaluation Pattern

Assessment

Internal/External

Weightage (%)

Assignments (minimum 2)

Internal

30

Quizzes (minimum 2)

Internal

20

Mid-Term Examination

Internal

20

Term Project/ End Semester Examination

External

30

Text Books / References

Text Books / References

Ewald F. Fuchs and Mohammad A.S Masoum, “Power Quality in Power Systems and Electrical Machines” .Pearson Education, 2008

Bhim Singh, Ambrish Chandra, and Kamal Al-Haddad , “Power Quality Problems and Mitigation Techniques” , 2014

Jos Arrillaga, Bruce C. Smith, Neville R. Watson, and Alan R. Wood, “Power System Harmonic Analysis”,2013

  1. Benesty, M. M. Sondhi and Y. Huang, “Handbook of speech processing”, Springer, 2008.

Daniel Jurafsky, James H Martin, Speech & language processing, preparation [cited 2020 June 1] Available from: https://web. stanford. edu/~ jurafsky/slp3 (2018).

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