Abstract

THIS dissertation addresses the technical challenges associated with the operation and control of high-power modular multilevel converters. To improve the performance of modular multilevel converter (MMC), a generalized three-phase mathematical model with common-mode voltage (CMV) is proposed. By using the proposed mathematical model, the magnitude of circulating currents, capacitors voltage ripple, and the ripple in DC-link current during balanced and unbalanced operating conditions can be minimized. The modulation scheme and switching frequency are directly affected the output power quality and the performance of the converter and control method. In this dissertation, a novel sampled average and space vector modulation scheme is proposed. These modulation schemes are suitable to control the MMC with any number of submodules (without modifications), operates at low switching frequency, minimizes the ripple in output current and voltage harmonic distortion, and reduces the output filter size. For reliable operation of MMC, the voltage balancing among submodules is mandatory. This dissertation proposes a generalized single-stage balancing approach with reduced current sensors to control the MMC. The proposed balancing approach is suitable to implement with both phase-shifted and level-shifted pulse width modulation schemes. With the proposed approach, it is also possible to control the MMC with half-bridge and three level flying capacitor submodules. Also, an improved balancing approach often referred as the dual-stage balancing approach is proposed to minimize the voltage harmonic distortion and device power losses. This dissertation also proposes a direct model predictive control (D-MPC) approach to minimize the ripple in submodule capacitors voltage. To implement D-MPC approach, a discrete-time model of MMC with CMV is proposed. With the use of proposed model, the D-MPC approach does not require a cost function to minimize the circulating currents. The computational complexity is one of the major issues in the implementation of D-MPC approach for MMC. In this dissertation, a novel reduced computational MPC approaches named as dual-stage D-MPC and indirect model predictive control (I-MPC) approach are proposed. These approaches significantly minimize the computational complexity and, improve the voltage and current waveform quality while operating at the low switching frequency. Finally, the simulation and experimental studies are presented to validate the dynamic and steady-state performance of proposed methodologies. Index Terms • Modular Multilevel Converters. • Capacitors Voltage Balancing. • Pulse Width Modulation Schemes. • Circulating Currents. • Capacitors Voltage Ripple • Direct Model Predictive Control. • Dual-Stage Direct Model Predictive Control. • Indirect Model Predictive Control. • Total Harmonic Distortion.

Highlights

  • POWER converters are well known in industry and academia as one of the preferred choices for efficient power conversion systems [1]

  • The cascaded H-bridge (CHB) and cascaded neutral-point clamped (CNPC) converters are constructed with a cascade connection of low-power submodules with an isolated DC source in each phase

  • The results show that the LSC-pulse width modulation (PWM) scheme produces a large ripple in submodule capacitors voltage and large magnitude of circulating currents compared with the phase-shifted carrier pulse width modulation (PSC-PWM) scheme [52–54]

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Summary

Experimental results with different size of buffer inductors: (a) xviii

Superscript p Predicted quantity m Measured quantity k Submodule index number n Normalized quantity Extrapolated quantity ∗ Reference quantity → Vector quantity. Subscript h x ∈ {a, b, c} y ∈ {u, l} z e t dev d tc ton tof f dc dr Capacitor index number AC output quantities Arm side quantities Circulating current component Estimated quantity total value Device quantity Diode quantity Transistor conduction state Transistor on-state Transistor off-state Diode conduction state Diode recovery state xxvi. System Quantities ma Amplitude modulation index fo Fundamental frequency (Hz) fc Carrier frequency (Hz) fsw Switching frequency (Hz). Φ Phase angle between phases (rad) φc Phase angle between carriers (deg) φci Interleave angle between carriers (deg)

INTRODUCTION
Chapter 1 – INTRODUCTION
Overview of High-Power Converters
Voltage Source
Voltage Source Converters
Fundamentals of Modular Multilevel Converter
Configuration of Submodules
Principle of Operation
Technical Challenges
Overview of Classical Control Methods for MMC
Pulse Width Modulation Schemes
Output Current Control
Submodule Capacitors Voltage Control
Minimization of Submodule Capacitors Voltage Ripple
Circulating Current Control
Pre-Charging of Submodule Capacitors
Overview of Model Predictive Control
Overview of Model Predictive Control Methods
Direct Model Predictive Control
Indirect Model Predictive Control
Balancing Method With Reduced Power Losses
Dissertation Outline
Chapter 5 Research on Reduced Computational Model Predictive Control
Modular Multilevel Converter and Submodule
Converter Configuration
Three-Level Flying Capacitor Submodule
Phase-Shifted Carrier Modulation
Generation of Triangular Carrier Signals
Pulse Width Modulator
Single-Stage Voltage Balancing Approach
Single-Stage Voltage Balancing Approach arm
Design Procedure
Comparison of HB and 3L-FC based MMC
Dynamic Performance of Single-Stage Voltage Balancing Approach
Experimental Validation
Dual-Stage Voltage Balancing
Dual-Stage Voltage Balancing Approach
Submodule Energy Distribution
For example, the required voltage level of
Dynamic Performance of Dual-Stage Voltage Balancing Approach
15 J 12 J 9J
Switching Frequency
Total Harmonic Distortion
Submodule Power Losses
Start-Up Operation of 3L-FC based MMC
Principle of Start-up Operation
Summary
Summary inner capacitors size
Sampled Average Modulation and voltage balancing approach
Sampled Average Modulation
Implementation of Sampled Average Modulation
Capacitors Voltage Balancing Approach
Three-phase Equivalent Approach
Dynamic Performance of Sampled Average Modulation
Dynamic Performance
Experimental Validation by the conventional PSC-PWM scheme
Performance With Different Size of Arm Inductor
Performance Comparison With PSC-PWM
Dual Space Vector Modulation
Dual Space Vector Modulation ma Modulating fo
Capacitors Voltage Balancing Approach With Reduced Current Sensors
Dynamic and Steady-State Performance of Dual-Space Vector Modulation
Unbalanced Operation
Comparison of Balancing Approach With and Without Current Sensors Reduction
Mathematical Modeling of 3L-FC Based MMC pacitors voltage
Modeling of DC Current Component
Modeling of AC Circulating Current
Modeling of AC Output Current
Modeling of Arm Voltage
Direct Model Predictive Control Approach where v (0) C1 and v (0) C2 represents the initial
Direct Model Predictive Control Approach
Control Algorithm
Dynamic and Steady-State Performance Analysis of DMPC
Performance of D-MPC With and Without CMV Injection
Dynamic and Steady-State Performance Analysis of D-MPC
Comparison of Conventional D-MPC and D-MPC With CMV Injection
DC-link Current Ripple During Unbalanced Operation
Submodule Capacitors Voltage Ripple and Circulating Currents
Comparison of Conventional and Proposed D-MPC
Dual-Stage Direct Model Predictive Control Approach
Mathematical Model of MMC
Implementation of Dual-Stage Predictive Algorithm
Computational Complexity
Indirect Model Predictive Control Approach
Implementation of Predictive Algorithm
Implementation of Balancing Algorithm
Dynamic Response
Balanced Operation
CONCLUSIONS
Chapter 6 – CONCLUSIONS
Main Contributions
Suggested Future Work
Findings
Suggested Future
Full Text
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