P. Sanjeevikumar, Sivaraman Palanisamy, Sharmeela Chenniappan

Artificial Intelligence-Based Smart Power Systems

• Gebundenes Buch

Produktbeschreibung

ARTIFICIAL INTELLIGENCE-BASED SMART POWER SYSTEMS

Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies

Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years.

To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies.

Artificial Intelligence-based Smart Power Systems includes specific information on topics such as:
_ Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more
_ Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HVDC/FACTs
_ Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations
_ Power and energy management systems

Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.

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Produktdetails

• Verlag: Wiley & Sons / Wiley-IEEE Press
• Artikelnr. des Verlages: 1W119893960
• 1. Auflage
• Seitenzahl: 400
• Erscheinungstermin: 1. Februar 2023
• Englisch
• Abmessung: 254mm x 203mm x 22mm
• Gewicht: 938g
• ISBN-13: 9781119893967
• ISBN-10: 1119893968
• Artikelnr.: 64267082

Autorenporträt

Sanjeevikumar Padmanaban, PhD, is a Full Professor with the Department of Electrical Engineering, IT and Cybernetics, at the University of South-Eastern Norway, Porsgrunn, Norway. He serves as an Editor/Associate Editor/Editorial Board Member of many refereed journals, in particular, the IEEE Systems Journal, the IEEE Access Journal, IEEE Transactions on Industry Applications, the Deputy Editor/Subject Editor of IET Renewable Power Generation, and IET Generation, Transmission and Distribution Journal , Subject Editor of FACETS and Energies MDPI Journal. Sivaraman Palanisamy is a Program Manager - EV Charging Infrastructure in WRI India. He is an IEEE Senior Member, a Member of CIGRE, and Life Member of the Institution of Engineers (India). He is an active participant in the IEEE Standards Association. Sharmeela Chenniappan, PhD, is a Professor in the Department of EEE, CEG campus, Anna University, Chennai, India. She is an IEEE Senior Member, a Life Member of CBIP, and Member of the Institution of Engineers (India), ISTE, and SSI. Jens Bo Holm-Nielsen, PhD, is the Head of the Esbjerg Energy Section with the Department of Energy Technology at Aalborg University. He has been an organizer of various international conferences, workshops, and training programs.

Inhaltsangabe

Editor Biography xv

List of Contributors xvii

1 Introduction to Smart Power Systems 1
Sivaraman Palanisamy, Zahira Rahiman, and Sharmeela Chenniappan

1.1 Problems in Conventional Power Systems 1

1.2 Distributed Generation (DG) 1

1.3 Wide Area Monitoring and Control 2

1.4 Automatic Metering Infrastructure 4

1.5 Phasor Measurement Unit 6

1.6 Power Quality Conditioners 8

1.7 Energy Storage Systems 8

1.8 Smart Distribution Systems 9

1.9 Electric Vehicle Charging Infrastructure 10

1.10 Cyber Security 11

1.11 Conclusion 11

References 11

2 Modeling and Analysis of Smart Power System 15
Madhu Palati, Sagar Singh Prathap, and Nagesh Halasahalli Nagaraju

2.1 Introduction 15

2.2 Modeling of Equipment's for Steady-State Analysis 16

2.2.1 Load Flow Analysis 16

2.2.1.1 Gauss Seidel Method 18

2.2.1.2 Newton Raphson Method 18

2.2.1.3 Decoupled Load Flow Method 18

2.2.2 Short Circuit Analysis 19

2.2.2.1 Symmetrical Faults 19

2.2.2.2 Unsymmetrical Faults 20

2.2.3 Harmonic Analysis 20

2.3 Modeling of Equipments for Dynamic and Stability Analysis 22

2.4 Dynamic Analysis 24

2.4.1 Frequency Control 24

2.4.2 Fault Ride Through 26

2.5 Voltage Stability 26

2.6 Case Studies 27

2.6.1 Case Study 1 27

2.6.2 Case Study 2 28

2.6.2.1 Existing and Proposed Generation Details in the Vicinity of Wind Farm 29

2.6.2.2 Power Evacuation Study for 50 MW Generation 30

2.6.2.3 Without Interconnection of the Proposed 50 MW Generation from Wind Farm on 66 kV Level of 220/66 kV Substation 31

2.6.2.4 Observations Made from Table 2.6 31

2.6.2.5 With the Interconnection of Proposed 50 MW Generation from Wind Farm on 66 kV level of 220/66 kV Substation 31

2.6.2.6 Normal Condition without Considering Contingency 32

2.6.2.7 Contingency Analysis 32

2.6.2.8 With the Interconnection of Proposed 60 MW Generation from Wind Farm on 66 kV Level of 220/66 kV Substation 33

2.7 Conclusion 34

References 34

3 Multilevel Cascaded Boost Converter Fed Multilevel Inverter for Renewable Energy Applications 37
Marimuthu Marikannu, Vijayalakshmi Subramanian, Paranthagan Balasubramanian, Jayakumar Narayanasamy, Nisha C. Rani, and Devi Vigneshwari Balasubramanian

3.1 Introduction 37

3.2 Multilevel Cascaded Boost Converter 40

3.3 Modes of Operation of MCBC 42

3.3.1 Mode-1 Switch S A Is ON 42

3.3.2 Mode-2 Switch S A Is ON 42

3.3.3 Mode-3-Operation - Switch S A Is ON 42

3.3.4 Mode-4-Operation - Switch S A Is ON 42

3.3.5 Mode-5-Operation - Switch S A Is ON 42

3.3.6 Mode-6-Operation - Switch S A Is OFF 42

3.3.7 Mode-7-Operation - Switch S A Is OFF 42

3.3.8 Mode-8-Operation - Switch S A Is OFF 43

3.3.9 Mode-9-Operation - Switch S A Is OFF 44

3.3.10 Mode 10-Operation - Switch S A is OFF 45

3.4 Simulation and Hardware Results 45

3.5 Prominent Structures of Estimated DC-DC Converter with Prevailing Converter 49

3.5.1 Voltage Gain and Power Handling Capability 49

3.5.2 Voltage Stress 49

3.5.3 Switch Count and Geometric Structure 49

3.5.4 Current Stress 52

3.5.5 Duty Cycle Versus Voltage Gain 52

3.5.6 Number of Levels in the Planned Converter 52

3.6 Power Electronic Converters for Renewable Energy Sources (Applications of MLCB) 54

3.6.1 MCBC Con