Written and edited by a team of experts in the field, this exciting new volume presents the cutting-edge techniques, latest trends, and state-of-the-art practical applications in linear and nonlinear system modeling.

Mathematical modeling of control systems is, essentially, extracting the essence of practical problems into systematic mathematical language. In system modeling, mathematical expression deals with modeling and its applications. It is characterized that how a modeling competency can be categorized and its activity can contribute to building up these competencies. Mathematical modeling of a practical system is an attractive field of research and an advanced subject with a variety of applications. The main objective of mathematical modeling is to predict the behavior of the system under different operating conditions and to design and implement efficient control strategies to achieve the desired performance.

A considerable effort has been directed to the development of models, which must be understandable and easy to analyze. It is a very difficult task to develop mathematical modeling of complicated practical systems considering all its possible high-level non-linearity and cross couple dynamics. Although mathematical modeling of nonlinear systems sounds quite interesting, it is difficult to formulate the general solution to analyze and synthesize nonlinear dynamical systems. Most of the natural processes are nonlinear, having very high computational complexity of several numerical issues. It is impossible to create any general solution or individual procedure to develop exact modeling of a non-linear system, which is often improper and too complex for engineering practices. Therefore, some series of approximation procedures are used, in order to get some necessary knowledge about the nonlinear system dynamics. There are several complicated mathematical approaches for solving these types of problems, such as functional analysis, differential geometry or the theory of nonlinear differential equations.

Tamal Roy, PhD, received his PhD from Jadavpur University in 2016. In 2008, he joined the Department of Electrical Engineering at Hooghly Engineering and Technology College as a Lecturer with 15 years of academic experience. Since 2011, he has been working as an assistant professor in the Electrical Engineering Department of the MCKV Institute of Engineering and presently is Head of the Department. His current research interests include adaptive control, uncertainty modeling, and robust control of nonlinear systems.

Suman Lata Tripathi, PhD, is a professor at the Lovely Professional University with more than 20 years of experience in academics. She is also a remote post-doctoral researcher at Nottingham Trent University, London, UK. She has published more than 74 research papers in refereed science journals and conferences, as well as 13 Indian patents and two copyrights. Additionally, she has edited and authored more than 17 books in different areas of electronics and electrical engineering.

Souvik Ganguli, PhD, is associated with the Thapar Institute of Engineering and Technology, Patiala as an assistant professor since June 2009 with fourteen years of experience in academics. Before joining academics he served the industry for more than two years. He has published eight Science Citation Index journal papers and nearly 50 Scopus indexed papers, book chapters, and conferences. Recently, he has been granted an Australian Innovation patent for his contribution to the industrial cyber-physical system and eight of his patents are already published and awaiting grants.

Preface xi

1 Assessment of Faults in Hybrid System Connected with Main Grid 1
Aveek Chattopadhyaya, Niladri Mukherjee and Surajit Chattopadhyay

1.1 Introduction 1

1.2 Hybrid System Connected with Main Grid 3

1.3 FFT Results in Different Conditions, Respective Bar Diagram, and Observations 4

1.4 Inter-Harmonic Group Analysis, Results, and Observations 4

1.5 Statistical Parameter Analysis Based on Discrete Wavelet Transform, Results, and Observations 7

1.6 Algorithm to Determine Non-Identical Conditions 9

1.7 Specific Outcome of This Chapter 11

1.8 Conclusions 12

2 Diversified Harmonics Modeling for Power System Stability Analysis 15
Tamal Roy, Debopoma Kar Ray and Surajit Chattopadhyay

2.1 Introduction 15

2.2 Classification 16

2.2.1 Steady-State Stability 16

2.2.2 Transient Stability 16

2.2.3 Dynamic Stability 17

2.3 Power Equation 18

2.4 Maximum Power 19

2.5 Nonlinearity and Harmonics 19

2.6 Active Power, Load Angle, and Reactance 20

2.7 Effects of Harmonics on Stability Model 21

2.7.1 Harmonic Reactance 22

2.7.2 Harmonic Power Equation and Harmonic Maximum Power 23

2.8 Harmonic Operating Point 25

2.8.1 Harmonic Power Versus Load Angle Characteristics 25

2.8.2 Harmonic Operating Point 25

2.8.3 Does HOP Hamper Overall Stability? 25

2.8.4 Importance of HOP 25

2.8.5 Steps for Determination of HOP 26

2.9 Case Studies 26

2.10 Conclusions 30

3 Comparative Study of Different Existing Standard Microgrid Networks 33
Sagnik Datta, Aveek Chattopadhyaya, Surajit Chattopadhyay and Arabinda Das

3.1 Introduction 34

3.2 Classification of Microgrid Networks 34

3.2.1 DC Microgrid Network 35

3.2.2 AC Microgrid Network 35

3.2.3 Hybrid AC/DC Microgrid Network 36

3.3 Modes of Operation 36

3.4 General Equipment of a Microgrid Network 39

3.5 Basic Control Structure of Microgrid Network 41

3.6 Existing Standard Models 41

3.6.1 IEEE 14 Bus Microgrid Network 42

3.6.2 IEEE 9 Bus Microgrid Network 43

3.6.3 IEC 61850-7-420 Standard Microgrid Network 44

3.7 Considerations for Designing of Protection Schemes 45

3.8 Conclusion 45

4 Application of Active Power Filter in the Hybrid Power System to Regulate the Grid Voltage 49
Sarita Samal, Rudranarayan Dash, Arjyadhara Pradhan and Prasanta Kumar Barik

4.1 Introduction 50

4.2 System Topology Description 51

4.2.1 Solar Photovoltaic System 52

4.2.1.1 SPV Modeling 52

4.2.1.2 Maximum Power Point Tracking 52

4.2.1.3 Boost Converter 53

4.2.2 Wind Energy System 53

4.2.3 Modeling of Battery 55

4.2.4 Buck-Boost Converter 57

4.3 Series Active Power Filter Design 58

4.4 Simulation Results 60

4.4.1 Analysis Under Case 1 61

4.4.2 Analysis Under Case 2 61

4.5 Conclusion 64

5 Dynamic Modeling of Drone Control with MATLAB Simulation 67
Suman Lata Tripathi

5.1 Introduction 67

5.2 Tool Description 68

5.3 Methodology 69

5.4 Overview of the Drone Control System 70

5.5 Overview of the Drone Control System in MATLAB Simulink 71

5.5.1 Flight Command 71

5.5.2 Flight Control System 71

5.5.3 Simulation Model 72

5.5.4 Flight Visualization 72

5.5.5 Result and Discussion 72

5.5.6 Varying the Values of Thrust Parameter of the Drone Flight Control 73

5.5.7 Varying the Values of Pitch Parameter of the Drone Flight Control 75

5.5.8 Varying the Values of Roll Parameter of the Drone Flight Control 77

5.5.9 Varying the Values of Yaw Parameter of the Drone Flight Control 80

5.5.10 Varying the Values of Thrust, Pitch, Roll, and Yaw Parameter of the Drone Flight Control 83

5.6 Applications 85

5.7 Conclusion 86

6 Development of New Bioinspired Hybrid Algorithms for Parameter Modeling of Photovoltaic Panels 89
Souvik Ganguli, Shilpy Goyal and Parag Nijhawan

6.1 Introduction 90

6.2 Problem Statement 91

6.3 Proposed Bioinspired Techniques and Methodology 94

6.4 Simulation Results and Discussions 95

6.5 Conclusions 106

7 Power Quality Improvement by Using PV-Integrated DSTATCOM 109
Pushpanjali Shadangi, Sushree Diptimayee Swain and Pravat Kumar Ray

7.1 Introduction 109

7.2 Photovoltaic (PV)-Based DSTATCOM Model 111

7.3 Controller Design and Control Algorithm 113

7.3.1 Instantaneous Reactive Power Theory (IRPT) 113

7.3.2 Modified Instantaneous Reactive Power Theory (MIRPT) 115

7.3.3 Hybrid Synchronous Reference Frame Theory (HSRF) 116

7.3.4 Indirect Current Control (ICC) 118

7.3.5 Direct Current Control (DCC) 119

7.4 Simulation Results 120

7.5 Experimental Results 123

7.6 Conclusion 123

8 Modeling and Simulation of Current Transformer to Study Its Behaviors in Different Conditions 127
Aveek Chattopadhyaya and Surajit Chattopadhyay

8.1 Introduction 127

8.2 Simulation Circuit of Current Transformer 129

8.3 Effects of CT Performance Due to Variation of Circuit Time Constants 130

8.4 Effects of CT Performance Due to Switching Transients 132

8.5 DWT-Based Skewness Analysis for Assessment of CT Saturation Due to Switching Transients 135

8.6 CT Saturation Detection by Multi-Resolution Analysis-Based Notch Assessment 138

8.7 CT Primary Current Assessment During CT Saturation 140

8.8 Conclusion 141

9 Multilevel Inverter-Fed Closed Loop Control and Analysis of Induction Motor Drive 143
Subrat Behera, Ranjeeta Patel, Rudra Narayan Dash and Amit Kumar

9.1 Introduction 144

9.2 Mathematical Modeling 148

9.2.1 Field Weakening Controller 149

9.2.2 Vector Controller 150

9.3 Results 151

9.3.1 Starting Dynamics 151

9.3.2 Reversal Dynamics 153

9.3.3 Load Perturbation Analysis 154

9.3.4 THD Analysis 155

9.4 Conclusion 156

10 Hybrid Grey Wolf Optimizer for Modeling and Control of Electric Drives 159
Souvik Ganguli and Prasanta Sarkar

10.1 Background Study 160

10.2 Proposed Approach 163

10.3 Simulation Outcomes and Discussions 164

10.4 Conclusions 169

11 Parameter Estimation of First-Order RC Model of Lithium-Ion Batteries in Electric Vehicles Using Slime Mold Algorithm 173
Ramdutt Arya, Shatrughan Modi and Souvik Ganguli

11.1 Introduction 174

11.2 Brief Overview of the Battery Models 177

11.2.1 Equivalent Circuit Model (ECM) of Li-Ion Battery 178

11.2.2 First-Order RC Equivalent Circuit Model 179

11.2.3 Fitness Function for Optimization 180

11.3 Slime Mold Algorithm (SMA) 181

11.4 Methodology 184

11.5 Simulation Results and Discussions 185

11.6 Conclusions 192

12 Harmonic Distortion-Based Performance Analysis and Fault Diagnosis of Inverter Connected with BLDC Motor Using Starting Transients 197
Surajit Chattopadhyay, Chiranjit Sain, Purnendu Burui, Sk Rased Ali and Soumya Saha

12.1 Introduction 198

12.2 Modeling 201

12.3 THD Comparison of Phase Currents of Different Inverters 203

12.4 Variation of Harmonic Distortion of IGBT Inverter During Fault 207

12.5 Variation of Harmonic Distortion of MOSFET Inverter During Fault 208

12.6 Variation of Harmonic Distortion of Ideal Switch Inverter During Fault 209

12.7 Conclusion 210

References 210

About the Editors 215

Index 217