Intelligent Control of Medium and High Power Converters

Description

The growing share of renewable energies, as well as the rising demand for electricity for transport and heating, are increasing the importance of power converters and the requirements for reliability and control. Intelligent control can increase converter efficiency, reducing size and weight. The application of intelligent control techniques to power converters has therefore recently become a focus of research. Intelligent Control of Medium and High Power Converters summarizes the state of the art in the control of electric power converters. After an overview of the topic, the chapters cover optimization, bi-directional DC-DC converters, high-gain converters, GaN-based synchronous converters, control design, sliding mode control of three-phase inverters and three-level grid-connected inverters, neurological control, low-frequency switching operation, and a comparison and overview chapter. Comparing control methods for different converters helps users find the best solution for each type of converter and application. The book is a valuable resource for researchers and manufacturers involved with converters and power grids, as well as for advanced students. Cover Contents About the editors Preface 1 Power electronics converters—an overview 1.1 Introduction 1.2 DC–DC converters 1.2.1 Non-isolated DC–DC converters 1.2.2 Isolated DC–DC converters 1.2.3 Resonant converters 1.3 DC–AC converters 1.3.1 Two-level single-phase and three-phase inverters 1.3.2 Classification of two-level three-phase inverters 1.3.3 Multilevel inverters 1.3.4 Review of a novel proposed MLIs 1.4 Conclusion References 2 Sliding mode control of bidirectional DC–DC converter for EVs 2.1 Introduction 2.2 Sliding mode control of bidirectional DC–DC converter 2.2.1 Modeling of the converter 2.2.2 Choice of sliding surface 2.2.3 Derivation of control law 2.2.4 Derivation of existence and stability conditions 2.2.5 Sliding mode parameter selection using HHO algorithm 2.3 Simulation and experimental verifications 2.4 Conclusion References 3 High-gain DC–DC converter with extremum seeking control for PV application 3.1 Introduction 3.2 System description 3.2.1 Photovoltaic array 3.2.2 Suggested high-gain DC–DC converter 3.3 Proposed AESC technique 3.3.1 Line search-based optimization methods 3.3.2 Control scheme 3.3.3 Extremum seeking control approach 3.3.4 Convergence analysis of the AESC approach 3.4 Simulation and comparison results 3.4.1 Scenario 1 3.4.2 Scenario 2 3.5 Conclusion References 4 A control scheme to optimize efficiency of GaN-based DC–DC converters 4.1 Introduction 4.2 Proposed control scheme 4.3 Simulation and experimental verification 4.4 Conclusions References 5 Control design of grid-connected three-phase inverters 5.1 Introduction 5.2 Inverter topologies 5.2.1 Grid forming inverters 5.2.2 Grid following inverters 5.3 Control strategies 5.3.1 Control architecture of GFL inverters 5.3.2 PLL 5.3.3 Power controller 5.3.4 Current controller 5.4 Results and discussion 5.4.1 Real-time co-simulation testbed 5.4.2 Power hardware-in-loop testbed 5.5 Conclusion References 6 Sliding mode control of a three-phase inverter 6.1 Introduction 6.2 Modeling description and control of the inverter 6.2.1 Mathematical model of the DC/AC converter 6.2.2 Proposed SMA 6.3 SMA for performance improvement of WPS fed by VSI 6.3.1 Modeling description of the WECS 6.3.2 SMA of the rectifier and MPP tracking approach 6.4 Simulation and evaluation of performance 6.5 Conclusions Appendix References 7 Sliding-mode control of a three-level NPC grid-connected inverter 7.1 Introduction 7.2 Three-phase grid-connected NPC inverter 7.3 Reaching law in SMC 7.3.1 Sliding surface design 7.4 Super twisting SMC 7.4.1 Control design 7.4.2 Stability of the super twisting SMC 7.5 Results and discussion 7.6 Conclusion References 8 Neuro control of grid-connected three-phase inverters 8.1 Introduction 8.2 System description 8.3 Control design 8.3.1 Neural network approximation 8.3.2 Neuro sliding mode control design 8.4 Simulation results 8.5 Conclusion References 9 Low switching frequency operation of multilevel converters for high-power applications 9.1 Introduction 9.2 Selective harmonic minimization problem formulation 9.3 Solving techniques 9.3.1 Numerical techniques 9.3.2 Algebraic methods 9.3.3 Intelligent algorithms 9.4 Results and discussion 9.5 Comparative analysis 9.6 Conclusion and future work References 10 Comparison and overview of power converter control methods 10.1 Introduction 10.2 Nonlinear controllers for power converters 10.2.1 Sliding mode 10.2.2 Model predictive control 10.3 Intelligent controllers for power converter 10.3.1 Fuzzy logic controller (FLC) 10.3.2 Artificial neural network 10.3.3 Metaheuristic optimization 10.4 Comparative performance analysis 10.5 Conclusion References Index Back Cover