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Custom power devices for efficient distributed energy systems /

This book provides a comprehensive overview of custom power devices and their application in distributed energy systems to enhance efficiency and power quality. It covers the design, modeling, and control of devices like DSTATCOM and PV-DVR systems, focusing on renewable energy sources such as solar...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Al-Durra, Ahmed, Arya, Sabha Raj, Giri, Ashutosh K.
Format: eBook
Language:English
Published: Amsterdam : Elsevier, 2024.
Subjects:
Electric power distribution.
Electric power systems.
Distributed resources (Electric utilities)
Réseaux électriques (Énergie)
Ressources décentralisées (Services publics d'électricité)
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Custom Power Devices for Efficient Distributed Energy Systems
  • Custom Power Devices for Efficient Distributed Energy Systems
  • Copyright
  • Contents
  • Contributors
  • Preface
  • One
  • Introduction of custom power devices
  • 1.1 General
  • 1.2 The DSTATCOM development and application in distributed power system: An overview
  • 1.3 State of art
  • 1.4 Scope of work on DSTATCOM
  • 1.4.1 Investigation on DSTATCOM system
  • 1.4.2 Configuration of DSTATCOM
  • 1.4.3 Control algorithm on DSTATCOM
  • 1.4.4 Classical control algorithms
  • 1.5 Adaptive control algorithms
  • 1.5.1 Proportional and Integral (PI) controller tuning methods
  • 1.6 Application of DSTATCOM in distributed power generation
  • 1.7 Power quality issues in distributed power generation system
  • References
  • Two
  • DSTATCOM components modeling and control
  • 2.1 General
  • 2.2 Application of DSTATCOM in distributed generation
  • 2.3 Operating principle of DSTATCOM
  • 2.4 Configuration of DSTATCOM
  • 2.4.1 Three phase three wire VSC based DSTATCOM
  • 2.4.2 3P3W VSC based DSTATCOM
  • 2.4.3 Three phase three wire diesel engine based distributed power generation
  • 2.5 Design calculation of DSTATCOM equipment
  • 2.5.1 Calculations of voltage, current and load power rating
  • 2.5.2 Design of dc capacitor rating
  • 2.5.3 Design of interfacing inductor
  • 2.5.4 Design of RC filter
  • 2.5.5 Rating of IGBTs devices
  • 2.5.6 Calculation of zig-zag transformer rating for 3P4W DSTATCOM
  • 2.5.7 Design calculation of distributed power generation equipment
  • 2.5.8 Diesel engine design [17]
  • 2.6 Control algorithm for DSTATCOM
  • 2.6.1 Necessitate of control algorithms for DSTATCOM
  • 2.6.2 Classical control algorithms proposed for generalized three wire DSTATCOM
  • 2.6.3 Adaptive control techniques proposed for 3P4W DSTATCOM
  • 2.6.4 Robust iteration dependant LMS (RIDLMS).
  • 2.6.5 Estimation of voltage unit templates
  • 2.6.6 Control topology based on RIDLMS for DSTATCOM [30]
  • 2.6.7 Load current components estimation
  • 2.6.8 Generation of gate pulses
  • 2.7 Summary
  • References
  • Three
  • Custom power device designing and modeling
  • 3.1 Introduction
  • 3.2 EAF distribution network simulation
  • 3.3 Basic compensation principle
  • 3.4 Design of reference voltage and control scheme
  • 3.4.1 Reference voltage design
  • 3.4.2 Proposed control scheme design
  • 3.5 Series APF simulation
  • 3.5.1 IGBT bridge simulation
  • 3.5.2 PWM simulation
  • 3.5.3 Proposed control scheme simulation
  • 3.6 Performance evaluation of composite filter
  • 3.6.1 Performance evaluation of CF in refining cycle
  • 3.6.2 Performance analysis of CF in melting cycle (random flicker)
  • 3.7 State-space modeling
  • 3.7.1 Introduction
  • 3.7.2 Main circuit configuration
  • 3.7.3 System modeling
  • 3.7.4 System stability analysis
  • 3.8 Summary
  • References
  • Four
  • Design and development of PV-DVR system for solar photovoltaic energy harvesting and voltage power quality i ...
  • 4.1 Introduction to PV-DVR system
  • 4.2 System configuration of PV-DVR
  • 4.3 Design of the PV-DVR systems parameters
  • 4.3.1 Step 1: Solar photovoltaic array rating
  • 4.3.2 Step 2: Boost converter rating
  • 4.3.3 Step 3: Ratings of voltage source converter of DVR
  • 4.3.4 Step 4: Injection transformer rating of DVR
  • 4.3.5 Step 5: DC link voltage
  • 4.3.6 Step 6: DC link capacitance calculation
  • 4.3.7 Step 7: Rating of interfacing inductor
  • 4.3.8 Step 8: Ripple filter
  • 4.4 Control strategy of PV-DVR system
  • 4.4.1 MPPT control of boost converter using Perturb and Observe algorithm
  • 4.4.2 Estimation of load reference voltages
  • 4.5 Simulation of the PV-DVR system
  • 4.5.1 Variation of solar irradiation
  • 4.5.2 PV-DVR for real PV power injection.
  • 4.5.3 PV-DVR for PV power injection and sag/swell compensation simultaneously
  • 4.5.4 PV-DVR for sag/swell compensation with zero PV
  • 4.6 Hardware setup details
  • 4.7 Control of the PV-DVR system using generic 32-bit ARM Cortex-M4 microcontroller STM32F407VG
  • 4.8 Experimentation results and discussion
  • 4.8.1 Unit template generation
  • 4.8.2 Reference generation using unit template based control strategy
  • 4.8.3 Performance of PV-DVR in nominal grid voltage condition with active power injection
  • 4.9 Summary and conclusion
  • References
  • Five
  • Design, modeling, and hardware development of coupled inductor-based high step-up gain DC-DC converter for p ...
  • 5.1 Introduction
  • 5.2 Basic coupled inductor boost converter
  • 5.2.1 Working principle and construction of basic CIBC
  • 5.2.2 Physical interpretation of right half plane zero
  • 5.2.3 Small signal model of basic CIBC
  • 5.2.4 Average large signal model
  • 5.2.5 Steady state model
  • 5.2.6 Small signal model
  • 5.3 Two-phase interleaved coupled inductor boost converter
  • 5.3.1 Working principle and construction of two-phase interleaved CIBC
  • 5.3.2 Small signal model of two-phase interleaved CIBC
  • 5.3.2.1 Average large signal model
  • 5.3.2.2 Steady state model
  • 5.3.2.3 Small signal transfer function
  • 5.4 Design consideration for basic CIBC and two-phase interleaved CIBC
  • 5.4.1 Coupled inductor design
  • 5.4.1.1 Magnetizing inductance
  • 5.4.1.2 Coefficient of coupling
  • 5.4.1.3 Coupled inductor design steps and core selection
  • 5.4.2 Capacitor design
  • 5.5 Small signal model results analysis and controller design
  • 5.5.1 Design example
  • 5.5.2 Design of closed loop control
  • 5.5.2.1 Design example
  • 5.5.2.2 Design example
  • 5.6 Simulation results
  • 5.7 Hardware setup details and experimental results.
  • 5.7.1 Open loop voltage response of basic CIBC and two-phase ICIBC
  • 5.7.2 Closed loop voltage response of basic CIBC and two-phase interleaved CIBC when step a change in a load
  • 5.8 Summary and conclusion
  • References
  • Six
  • Development of control scheme for grid-tied PV system to enhance power quality
  • 6.1 Introduction
  • 6.2 Description of PV module and its characteristics
  • 6.3 Configurations of PV energy conversion systems
  • 6.4 Grid-tied PV systems
  • 6.4.1 Comparison between single and double-stage topologies of GTPVS
  • 6.5 Requirements of a control scheme for GTPVS
  • 6.6 System configuration of a single-stage GTPVS
  • 6.7 Development of VSSHQCAF control scheme for GTPVS
  • 6.7.1 Variable step size half-quadratic criterion adaptive filtering algorithm (VSSHQCAF)
  • 6.7.2 Extraction of maximum power from PV array
  • 6.7.3 Generation of PCC unit voltage templates
  • 6.7.4 Estimation of fundamental weight components of load current
  • 6.7.5 Estimation of weights for loss components and PV dynamic reflection component
  • 6.7.6 Generation of reference currents and switching pulses
  • 6.8 MATLAB/Simulink results and discussion
  • 6.8.1 Response of GTPVS with linear load
  • 6.8.2 Response of GTPVS with nonlinear load
  • 6.8.3 Comparison of VSSHQCAF with LMS, and LMF-based control schemes
  • 6.9 Conclusion
  • References
  • Seven
  • Superior power conversion efficiency of novel solar cell and multi-response optimization of spray coated Sn ...
  • 7.1 Introduction
  • 7.2 Experimental section
  • 7.2.1 Materials
  • 7.2.2 Methodology
  • 7.2.2.1 Deposition of SnO2 films
  • 7.2.2.2 Perovskite solar cell fabrication
  • 7.2.2.3 Characterization
  • 7.2.2.4 Design of experiment
  • 7.3 Result and discussion
  • 7.3.1 Effect of precursor concentration
  • 7.3.2 Effect of spray rate
  • 7.3.3 Effect of deposition temperature.
  • 7.3.4 Optimization of deposition condition using RSM
  • 7.3.4.1 Effect of control parameter on PCE and transparency
  • 7.3.5 Stability
  • 7.4 Conclusions
  • Acknowledgments
  • References
  • Eight
  • Compositional engineering and additive engineering for enhanced performance of hybrid solar cells
  • 8.1 Introduction
  • 8.1.1 Thin-film solar cell devices
  • 8.1.2 Working principle of thin film solar cells
  • 8.2 Generations of solar cells
  • 8.2.1 First generation photovoltaics
  • 8.2.2 Second generation photovoltaics
  • 8.2.2.1 CIS/CIGS solar cell
  • 8.2.3 Third generation photovoltaics
  • 8.2.3.1 Perovskite solar cells
  • 8.3 Mix cationic perovskite and its enhanced efficiency and stability
  • 8.3.1 Annealing of the perovskite layer in fabricated PSC
  • 8.3.2 Stability of perovskite solar cells
  • 8.3.2.1 Passivation by coating
  • 8.3.2.2 Grain boundary passivation
  • 8.3.2.3 Addition of dopants for efficient trap passivation and charge extraction
  • 8.3.2.4 Calcium chloride, CaCl2
  • 8.3.2.5 Potassium iodide, KI
  • 8.4 Materials and methodology
  • 8.4.1 Preparation method and operating procedure
  • 8.4.1.1 Preparation of substrates
  • 8.4.1.2 Deposition of ETL layer: Coating of TiO2 layer
  • 8.4.1.3 Fabrication of SnO2 layer
  • 8.4.1.4 SnCl2 solution preparation
  • 8.4.1.5 Fabrication of Cesium doped perovskite layer
  • 8.4.1.6 Preparation of HTL layer
  • 8.4.1.7 Counter-electrode coating
  • 8.4.2 Additive engineering of perovskite for enhanced stability
  • 8.4.3 Study of efficiency by varying different parameters
  • 8.5 Results and discussion
  • 8.5.1 UV-Vis spectroscopy of mixed versus single cation perovskite
  • 8.5.2 Crystal structure and grain size determination
  • 8.5.3 J-V curve analysis
  • 8.5.4 Hysteresis and its effect on the stability of solar cells
  • 8.5.5 Annealing and its effect on efficiency of PSC
  • 8.5.6 XRD analysis of the sample.