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Microgrids : Dynamic Modeling, Stability and Control
| Microgrids : Dynamic Modeling, Stability and Control |
| Autore | Shafiee Qobad |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (446 pages) |
| Altri autori (Persone) |
NaderiMobin
BevraniHassan |
| ISBN |
1-119-90623-7
1-119-90621-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Authors -- Preface -- Acknowledgments -- Acronyms -- Chapter 1 Introduction -- 1.1 Overview -- 1.2 Microgrid Concept and Capabilities -- 1.3 Microgrid Structure -- 1.4 Microgrids in the Future Smart Grids -- 1.5 Microgrids‐Integrated Power Grids -- 1.6 Current Trends and Future Directions -- 1.6.1 Dynamic Behavior of MGs and Their Impacts on Power Grids -- 1.6.2 Microgrid‐Based Ancillary Services -- 1.6.3 Dynamic Modeling and Control -- 1.7 The Book Content and Organization -- References -- Part I Individual Microgrids -- Chapter 2 Microgrid Dynamic Modeling: Concepts and Fundamentals -- 2.1 Introduction -- 2.2 Dynamics and Modeling -- 2.3 Fundamental Analysis Tools and Requirements -- 2.3.1 State‐Space (Small‐Signal) Modeling -- 2.3.1.1 Finding Differential Equations -- 2.3.1.2 Park and Clark Transformations -- 2.3.1.3 Linearization -- 2.3.1.4 State‐Space Representation -- 2.3.1.5 Interconnecting Modules -- 2.3.2 Detailed Modeling -- 2.3.3 Simplification Methods -- 2.3.3.1 Truncation (Regular Perturbation) -- 2.3.3.2 Residualization (Singular Perturbation) -- 2.3.3.3 Aggregation -- 2.3.3.4 Sensitivity Analysis -- 2.3.4 Prony Analysis -- 2.3.5 Large‐Signal Modeling -- 2.4 Small‐Signal Modeling of Microgrid Components -- 2.4.1 DC-AC Converter (Inverter) -- 2.4.2 AC-DC Converter (Rectifier) -- 2.4.3 DC-DC Converter (Chopper) -- 2.4.4 LC Filter -- 2.4.5 Power Network -- 2.4.5.1 Virtual Resistor Calculation -- 2.4.6 Loads -- 2.4.6.1 Constant RL Impedance Load -- 2.4.6.2 Constant Power Load (CPL) -- 2.4.6.3 Motor Load -- 2.4.6.4 Active Load -- 2.4.7 Energy Resources and Storages -- 2.4.7.1 Wind Generation Unit -- 2.4.7.2 Photovoltaic Generation Unit -- 2.4.7.3 Battery -- 2.4.7.4 Super‐Capacitor -- 2.5 Small‐Signal Modeling of Microgrid Controllers -- 2.5.1 Primary Control Strategies.
2.5.1.1 Grid‐Forming Strategy -- 2.5.1.2 Grid‐Following Strategy -- 2.5.2 Secondary Control -- 2.5.3 Higher Control Levels -- 2.6 Large‐Signal Modeling: An Example -- 2.6.1 Governing Equations on Synchronverter -- 2.6.2 Nonlinear State‐Space Representation -- 2.7 Summary -- References -- Chapter 3 Microgrid Dynamic Modeling: Overall Modeling and Case Studies -- 3.1 Introduction -- 3.2 Overall Microgrid Dynamic Modeling -- 3.2.1 Common Reference Frame -- 3.2.2 Microgrid General State‐Space Model -- 3.2.3 Grid Model -- 3.3 Small‐Signal Modeling of DC and AC Microgrids -- 3.3.1 A Grid‐Connected PV -- 3.3.2 Grid‐Connected AC Microgrids -- 3.3.3 Islanded AC Microgrids: The Detailed Model -- 3.3.4 Islanded AC Microgrids: A Sensitivity Analysis‐Based Simplified Model -- 3.3.4.1 Removing/Reconfiguration Process of Modules -- 3.3.4.2 DLFMs Comparison of the Detailed and Simplified Models -- 3.3.4.3 The Oscillatory DLFM Comparison -- 3.3.5 Islanded AC Microgrids: Aggregated Single‐Order Model -- 3.3.5.1 General Steps of Modeling -- 3.3.5.2 Virtual Swing Equation‐Based Single‐Order Model -- 3.3.6 Islanded DC Microgrid -- 3.4 Large‐Signal Modeling of Microgrids -- 3.4.1 Model Validation -- 3.4.2 Time‐Domain Simulations -- 3.5 Summary -- References -- Chapter 4 Microgrids Stability -- 4.1 Introduction -- 4.2 Stability Definition and Classification -- 4.3 Basic Requirements -- 4.3.1 Eigenvalue Analysis -- 4.3.2 Participation Matrix -- 4.3.3 Sensitivity Analysis -- 4.4 Small‐Signal Stability Analysis -- 4.4.1 Grid‐Connected PV -- 4.4.1.1 Sensitivity Analysis: LC Filter Parameters -- 4.4.1.2 Sensitivity Analysis: Coupling/Grid Line Length -- 4.4.1.3 Sensitivity Analysis: PLL Gains -- 4.4.1.4 Sensitivity Analysis: Current Control Gains -- 4.4.1.5 Sensitivity Analysis: DC Voltage Control gains -- 4.4.2 Grid‐Connected AC Microgrids. 4.4.2.1 Sensitivity Analysis: Grid Strength Study -- 4.4.2.2 Sensitivity Analysis: Interaction of GFL DERs -- 4.4.3 Islanded AC Microgrids -- 4.4.3.1 Sensitivity Analysis of Droop Gains -- 4.4.3.2 Sensitivity Analysis of Virtual Impedance -- 4.4.3.3 Stability Analysis of Secondary Control -- 4.4.3.4 Sensitivity Analysis of GFL DER Parameters -- 4.4.3.5 Weakness of AC Microgrids -- 4.4.3.6 Relative Stability Improvement Using Grid‐Supporting Control Strategy -- 4.4.4 Islanded DC Microgrids -- 4.5 Transient Stability -- 4.5.1 Power Sharing Stability in AC Microgrids -- 4.5.2 Synchronverter Stabilization -- 4.5.2.1 Adaptive Backstepping Stabilizing Method -- 4.5.2.2 Simulation Results -- 4.6 Summary -- References -- Chapter 5 Microgrid Control: Concepts and Fundamentals -- 5.1 Introduction -- 5.2 Fundamentals and Requirements -- 5.2.1 Introduction to Control Systems -- 5.2.2 Control Objectives and Challenges -- 5.2.3 Control Architectures -- 5.3 Control Strategies for Power Converters -- 5.3.1 Introduction -- 5.3.2 Grid‐Following Power Converters -- 5.3.2.1 Current Control -- 5.3.2.2 Synchronization Algorithm -- 5.3.3 Grid‐Forming Power Converters -- 5.4 Hierarchical Control -- 5.4.1 The Control Hierarchy -- 5.4.2 Control Layers -- 5.5 Primary Control -- 5.5.1 Droop Control -- 5.5.1.1 Droop Control for Inductive Grids -- 5.5.1.2 Droop Control for Resistive Grids -- 5.5.1.3 Droop Control for Resistive-Inductive Grids -- 5.5.1.4 Discussion on the Conventional Droop Control -- 5.5.1.5 Droop Control for DC Grids -- 5.5.2 Virtual Impedance -- 5.5.3 A Simulation Study for Primary Control of AC Microgrids -- 5.5.3.1 Case Study -- 5.5.3.2 Simulation Results -- 5.6 Secondary Control -- 5.6.1 Secondary Control Functions and Strategies -- 5.6.1.1 Secondary Control Functions -- 5.6.1.2 Secondary Control Strategies -- 5.6.2 Centralized Secondary Control. 5.6.3 Distributed Secondary Control -- 5.6.3.1 Communication Network as a Graph -- 5.6.3.2 Average‐Based DISC -- 5.6.3.3 Consensus‐Based DISC -- 5.6.3.4 Event‐Triggered DISC -- 5.6.4 Decentralized Secondary Control -- 5.6.4.1 Washout Filter‐Based DESC -- 5.6.4.2 Local Variable‐Based DESC -- 5.6.4.3 Estimation‐Based DESC -- 5.6.5 A Simulation Study for Secondary Control of AC Microgrids -- 5.6.5.1 Case Study and Controller Implementation -- 5.6.5.2 Simulation Results -- 5.7 Central Control -- 5.8 Global Control -- 5.9 Summary -- References -- Chapter 6 Advances in Microgrid Control -- 6.1 Introduction -- 6.2 Advanced Control Synthesis -- 6.2.1 Advanced Control Techniques -- 6.2.1.1 Optimal Control -- 6.2.1.2 Robust Control -- 6.2.1.3 Nonlinear Control -- 6.2.1.4 Intelligent Control -- 6.2.2 Model Predictive Control -- 6.2.2.1 MPC for Microgrids -- 6.2.2.2 Finite Control Set Model Predictive Control -- 6.2.3 Model Predictive Control of DC Microgrids with Constant Power Loads -- 6.2.3.1 Case Study and Dynamic Modeling -- 6.2.3.2 Design Methodology -- 6.2.3.3 Real‐Time Hardware in the Loop Results -- 6.2.4 Hybrid Fuzzy Predictive Control for Smooth Transition of AC Microgrids -- 6.2.4.1 Case Study and Dynamic Modeling -- 6.2.4.2 Control System Design -- 6.2.4.3 Simulation Results -- 6.3 Virtual Dynamic Control -- 6.3.1 Concept and Structure -- 6.3.2 Virtual Synchronous Generator (VSG) -- 6.3.2.1 VSG Applications -- 6.3.3 Virtual Dynamic Control of DC Microgrids -- 6.3.3.1 Dynamic Improvement of DC Microgrids Using Virtual Inertia Concept -- 6.3.3.2 Case Study and Simulation Results -- 6.4 Resilient and Cybersecure Control -- 6.4.1 Microgrid as a Cyber‐Physical System -- 6.4.2 Communication Requirements -- 6.4.3 Cybersecurity -- 6.4.3.1 Network/Data Cyber Threats on Microgrids -- 6.4.3.2 Distributed Secondary Control Under Network Cyber Attacks. 6.4.3.3 Cyberattack Detection -- 6.4.3.4 Cyberattack Mitigation -- 6.4.4 Event‐Triggered Control -- 6.4.4.1 Event‐Triggered Secondary Control of AC Microgrids -- 6.4.4.2 Physical and Control Layers -- 6.4.4.3 Secondary Control Design -- 6.4.4.4 Case Study and Simulation Results -- 6.5 Summary -- References -- Part II Interconnected Microgrids -- Chapter 7 Interconnected Microgrids: Opportunities and Challenges -- 7.1 Introduction -- 7.2 An Overview -- 7.3 Architectures of Interconnected Microgrids -- 7.4 Benefits, Challenges, and Research Fields -- 7.5 Operation of Interconnected Microgrids -- 7.6 Vacancies for Future Research -- 7.6.1 IMG Dynamic Modeling -- 7.6.2 IMG Stability Analysis -- 7.6.3 IMG Control -- 7.7 Summary -- References -- Chapter 8 Modeling of Interconnected Microgrids -- 8.1 Introduction -- 8.2 Interconnection Method -- 8.3 Module Modeling -- 8.3.1 Microgrid Modeling -- 8.3.1.1 Modeling of Secondary Control for CB‐IMGs -- 8.3.1.2 Other MG Modules -- 8.3.1.3 Overall MG Model -- 8.3.2 Interlinking Line Modeling -- 8.3.3 Back‐to‐Back Converter Modeling -- 8.3.3.1 AC Side of the BTBC -- 8.3.3.2 DC Side of the BTBC -- 8.3.3.3 Dependent Current and Voltage Sources -- 8.3.3.4 BTBC Power Part Interconnection -- 8.3.3.5 Power Controller -- 8.3.3.6 DC Voltage Controller -- 8.3.3.7 Synchronizing PLLs -- 8.3.3.8 Complete Interconnection of BTBC Modules -- 8.3.4 Circuit Breaker Modeling -- 8.4 Overall IMG Modeling -- 8.4.1 Comprehensive Modeling of CB‐IMGs -- 8.4.2 Comprehensive Modeling of BTBC‐IMGs -- 8.5 Model Validation -- 8.5.1 Model Validation Procedure -- 8.5.2 Real‐Time Simulator -- 8.5.3 Validation of CB‐IMG Modeling -- 8.5.3.1 Case Study Information -- 8.5.3.2 Prony Analysis Results -- 8.5.3.3 Comparison Results -- 8.5.4 Validation of BTBC‐IMG Modeling -- 8.6 Reduced‐Order Models. 8.6.1 Simplified Model Application in CB‐IMG Frequency Control. |
| Record Nr. | UNINA-9910830771803321 |
Shafiee Qobad
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Microgrids : Dynamic Modeling, Stability and Control
| Microgrids : Dynamic Modeling, Stability and Control |
| Autore | Shafiee Qobad |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (446 pages) |
| Altri autori (Persone) |
NaderiMobin
BevraniHassan |
| ISBN |
1-119-90623-7
1-119-90621-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Authors -- Preface -- Acknowledgments -- Acronyms -- Chapter 1 Introduction -- 1.1 Overview -- 1.2 Microgrid Concept and Capabilities -- 1.3 Microgrid Structure -- 1.4 Microgrids in the Future Smart Grids -- 1.5 Microgrids‐Integrated Power Grids -- 1.6 Current Trends and Future Directions -- 1.6.1 Dynamic Behavior of MGs and Their Impacts on Power Grids -- 1.6.2 Microgrid‐Based Ancillary Services -- 1.6.3 Dynamic Modeling and Control -- 1.7 The Book Content and Organization -- References -- Part I Individual Microgrids -- Chapter 2 Microgrid Dynamic Modeling: Concepts and Fundamentals -- 2.1 Introduction -- 2.2 Dynamics and Modeling -- 2.3 Fundamental Analysis Tools and Requirements -- 2.3.1 State‐Space (Small‐Signal) Modeling -- 2.3.1.1 Finding Differential Equations -- 2.3.1.2 Park and Clark Transformations -- 2.3.1.3 Linearization -- 2.3.1.4 State‐Space Representation -- 2.3.1.5 Interconnecting Modules -- 2.3.2 Detailed Modeling -- 2.3.3 Simplification Methods -- 2.3.3.1 Truncation (Regular Perturbation) -- 2.3.3.2 Residualization (Singular Perturbation) -- 2.3.3.3 Aggregation -- 2.3.3.4 Sensitivity Analysis -- 2.3.4 Prony Analysis -- 2.3.5 Large‐Signal Modeling -- 2.4 Small‐Signal Modeling of Microgrid Components -- 2.4.1 DC-AC Converter (Inverter) -- 2.4.2 AC-DC Converter (Rectifier) -- 2.4.3 DC-DC Converter (Chopper) -- 2.4.4 LC Filter -- 2.4.5 Power Network -- 2.4.5.1 Virtual Resistor Calculation -- 2.4.6 Loads -- 2.4.6.1 Constant RL Impedance Load -- 2.4.6.2 Constant Power Load (CPL) -- 2.4.6.3 Motor Load -- 2.4.6.4 Active Load -- 2.4.7 Energy Resources and Storages -- 2.4.7.1 Wind Generation Unit -- 2.4.7.2 Photovoltaic Generation Unit -- 2.4.7.3 Battery -- 2.4.7.4 Super‐Capacitor -- 2.5 Small‐Signal Modeling of Microgrid Controllers -- 2.5.1 Primary Control Strategies.
2.5.1.1 Grid‐Forming Strategy -- 2.5.1.2 Grid‐Following Strategy -- 2.5.2 Secondary Control -- 2.5.3 Higher Control Levels -- 2.6 Large‐Signal Modeling: An Example -- 2.6.1 Governing Equations on Synchronverter -- 2.6.2 Nonlinear State‐Space Representation -- 2.7 Summary -- References -- Chapter 3 Microgrid Dynamic Modeling: Overall Modeling and Case Studies -- 3.1 Introduction -- 3.2 Overall Microgrid Dynamic Modeling -- 3.2.1 Common Reference Frame -- 3.2.2 Microgrid General State‐Space Model -- 3.2.3 Grid Model -- 3.3 Small‐Signal Modeling of DC and AC Microgrids -- 3.3.1 A Grid‐Connected PV -- 3.3.2 Grid‐Connected AC Microgrids -- 3.3.3 Islanded AC Microgrids: The Detailed Model -- 3.3.4 Islanded AC Microgrids: A Sensitivity Analysis‐Based Simplified Model -- 3.3.4.1 Removing/Reconfiguration Process of Modules -- 3.3.4.2 DLFMs Comparison of the Detailed and Simplified Models -- 3.3.4.3 The Oscillatory DLFM Comparison -- 3.3.5 Islanded AC Microgrids: Aggregated Single‐Order Model -- 3.3.5.1 General Steps of Modeling -- 3.3.5.2 Virtual Swing Equation‐Based Single‐Order Model -- 3.3.6 Islanded DC Microgrid -- 3.4 Large‐Signal Modeling of Microgrids -- 3.4.1 Model Validation -- 3.4.2 Time‐Domain Simulations -- 3.5 Summary -- References -- Chapter 4 Microgrids Stability -- 4.1 Introduction -- 4.2 Stability Definition and Classification -- 4.3 Basic Requirements -- 4.3.1 Eigenvalue Analysis -- 4.3.2 Participation Matrix -- 4.3.3 Sensitivity Analysis -- 4.4 Small‐Signal Stability Analysis -- 4.4.1 Grid‐Connected PV -- 4.4.1.1 Sensitivity Analysis: LC Filter Parameters -- 4.4.1.2 Sensitivity Analysis: Coupling/Grid Line Length -- 4.4.1.3 Sensitivity Analysis: PLL Gains -- 4.4.1.4 Sensitivity Analysis: Current Control Gains -- 4.4.1.5 Sensitivity Analysis: DC Voltage Control gains -- 4.4.2 Grid‐Connected AC Microgrids. 4.4.2.1 Sensitivity Analysis: Grid Strength Study -- 4.4.2.2 Sensitivity Analysis: Interaction of GFL DERs -- 4.4.3 Islanded AC Microgrids -- 4.4.3.1 Sensitivity Analysis of Droop Gains -- 4.4.3.2 Sensitivity Analysis of Virtual Impedance -- 4.4.3.3 Stability Analysis of Secondary Control -- 4.4.3.4 Sensitivity Analysis of GFL DER Parameters -- 4.4.3.5 Weakness of AC Microgrids -- 4.4.3.6 Relative Stability Improvement Using Grid‐Supporting Control Strategy -- 4.4.4 Islanded DC Microgrids -- 4.5 Transient Stability -- 4.5.1 Power Sharing Stability in AC Microgrids -- 4.5.2 Synchronverter Stabilization -- 4.5.2.1 Adaptive Backstepping Stabilizing Method -- 4.5.2.2 Simulation Results -- 4.6 Summary -- References -- Chapter 5 Microgrid Control: Concepts and Fundamentals -- 5.1 Introduction -- 5.2 Fundamentals and Requirements -- 5.2.1 Introduction to Control Systems -- 5.2.2 Control Objectives and Challenges -- 5.2.3 Control Architectures -- 5.3 Control Strategies for Power Converters -- 5.3.1 Introduction -- 5.3.2 Grid‐Following Power Converters -- 5.3.2.1 Current Control -- 5.3.2.2 Synchronization Algorithm -- 5.3.3 Grid‐Forming Power Converters -- 5.4 Hierarchical Control -- 5.4.1 The Control Hierarchy -- 5.4.2 Control Layers -- 5.5 Primary Control -- 5.5.1 Droop Control -- 5.5.1.1 Droop Control for Inductive Grids -- 5.5.1.2 Droop Control for Resistive Grids -- 5.5.1.3 Droop Control for Resistive-Inductive Grids -- 5.5.1.4 Discussion on the Conventional Droop Control -- 5.5.1.5 Droop Control for DC Grids -- 5.5.2 Virtual Impedance -- 5.5.3 A Simulation Study for Primary Control of AC Microgrids -- 5.5.3.1 Case Study -- 5.5.3.2 Simulation Results -- 5.6 Secondary Control -- 5.6.1 Secondary Control Functions and Strategies -- 5.6.1.1 Secondary Control Functions -- 5.6.1.2 Secondary Control Strategies -- 5.6.2 Centralized Secondary Control. 5.6.3 Distributed Secondary Control -- 5.6.3.1 Communication Network as a Graph -- 5.6.3.2 Average‐Based DISC -- 5.6.3.3 Consensus‐Based DISC -- 5.6.3.4 Event‐Triggered DISC -- 5.6.4 Decentralized Secondary Control -- 5.6.4.1 Washout Filter‐Based DESC -- 5.6.4.2 Local Variable‐Based DESC -- 5.6.4.3 Estimation‐Based DESC -- 5.6.5 A Simulation Study for Secondary Control of AC Microgrids -- 5.6.5.1 Case Study and Controller Implementation -- 5.6.5.2 Simulation Results -- 5.7 Central Control -- 5.8 Global Control -- 5.9 Summary -- References -- Chapter 6 Advances in Microgrid Control -- 6.1 Introduction -- 6.2 Advanced Control Synthesis -- 6.2.1 Advanced Control Techniques -- 6.2.1.1 Optimal Control -- 6.2.1.2 Robust Control -- 6.2.1.3 Nonlinear Control -- 6.2.1.4 Intelligent Control -- 6.2.2 Model Predictive Control -- 6.2.2.1 MPC for Microgrids -- 6.2.2.2 Finite Control Set Model Predictive Control -- 6.2.3 Model Predictive Control of DC Microgrids with Constant Power Loads -- 6.2.3.1 Case Study and Dynamic Modeling -- 6.2.3.2 Design Methodology -- 6.2.3.3 Real‐Time Hardware in the Loop Results -- 6.2.4 Hybrid Fuzzy Predictive Control for Smooth Transition of AC Microgrids -- 6.2.4.1 Case Study and Dynamic Modeling -- 6.2.4.2 Control System Design -- 6.2.4.3 Simulation Results -- 6.3 Virtual Dynamic Control -- 6.3.1 Concept and Structure -- 6.3.2 Virtual Synchronous Generator (VSG) -- 6.3.2.1 VSG Applications -- 6.3.3 Virtual Dynamic Control of DC Microgrids -- 6.3.3.1 Dynamic Improvement of DC Microgrids Using Virtual Inertia Concept -- 6.3.3.2 Case Study and Simulation Results -- 6.4 Resilient and Cybersecure Control -- 6.4.1 Microgrid as a Cyber‐Physical System -- 6.4.2 Communication Requirements -- 6.4.3 Cybersecurity -- 6.4.3.1 Network/Data Cyber Threats on Microgrids -- 6.4.3.2 Distributed Secondary Control Under Network Cyber Attacks. 6.4.3.3 Cyberattack Detection -- 6.4.3.4 Cyberattack Mitigation -- 6.4.4 Event‐Triggered Control -- 6.4.4.1 Event‐Triggered Secondary Control of AC Microgrids -- 6.4.4.2 Physical and Control Layers -- 6.4.4.3 Secondary Control Design -- 6.4.4.4 Case Study and Simulation Results -- 6.5 Summary -- References -- Part II Interconnected Microgrids -- Chapter 7 Interconnected Microgrids: Opportunities and Challenges -- 7.1 Introduction -- 7.2 An Overview -- 7.3 Architectures of Interconnected Microgrids -- 7.4 Benefits, Challenges, and Research Fields -- 7.5 Operation of Interconnected Microgrids -- 7.6 Vacancies for Future Research -- 7.6.1 IMG Dynamic Modeling -- 7.6.2 IMG Stability Analysis -- 7.6.3 IMG Control -- 7.7 Summary -- References -- Chapter 8 Modeling of Interconnected Microgrids -- 8.1 Introduction -- 8.2 Interconnection Method -- 8.3 Module Modeling -- 8.3.1 Microgrid Modeling -- 8.3.1.1 Modeling of Secondary Control for CB‐IMGs -- 8.3.1.2 Other MG Modules -- 8.3.1.3 Overall MG Model -- 8.3.2 Interlinking Line Modeling -- 8.3.3 Back‐to‐Back Converter Modeling -- 8.3.3.1 AC Side of the BTBC -- 8.3.3.2 DC Side of the BTBC -- 8.3.3.3 Dependent Current and Voltage Sources -- 8.3.3.4 BTBC Power Part Interconnection -- 8.3.3.5 Power Controller -- 8.3.3.6 DC Voltage Controller -- 8.3.3.7 Synchronizing PLLs -- 8.3.3.8 Complete Interconnection of BTBC Modules -- 8.3.4 Circuit Breaker Modeling -- 8.4 Overall IMG Modeling -- 8.4.1 Comprehensive Modeling of CB‐IMGs -- 8.4.2 Comprehensive Modeling of BTBC‐IMGs -- 8.5 Model Validation -- 8.5.1 Model Validation Procedure -- 8.5.2 Real‐Time Simulator -- 8.5.3 Validation of CB‐IMG Modeling -- 8.5.3.1 Case Study Information -- 8.5.3.2 Prony Analysis Results -- 8.5.3.3 Comparison Results -- 8.5.4 Validation of BTBC‐IMG Modeling -- 8.6 Reduced‐Order Models. 8.6.1 Simplified Model Application in CB‐IMG Frequency Control. |
| Record Nr. | UNINA-9910841181903321 |
|
Shafiee Qobad
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization in Electrical Engineering / / by Mohammad Fathi, Hassan Bevrani
| Optimization in Electrical Engineering / / by Mohammad Fathi, Hassan Bevrani |
| Autore | Fathi Mohammad |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (IX, 174 p. 60 illus., 43 illus. in color.) |
| Disciplina |
519.3
519.6 |
| Soggetto topico |
Power electronics
Mathematical optimization Energy systems Power Electronics, Electrical Machines and Networks Optimization Energy Systems |
| ISBN | 3-030-05309-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Linear Algebra Review -- Set constrained Optimization -- Convex Programming -- Duality -- LMI-based Optimization -- Artificial intelligence and evolutionary algorithms based optimization. |
| Record Nr. | UNINA-9910337641603321 |
|
Fathi Mohammad
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Renewable integrated power system stability and control / / Hêmin Golpîra, Arturo R. Messina, Hassan Bevrani
| Renewable integrated power system stability and control / / Hêmin Golpîra, Arturo R. Messina, Hassan Bevrani |
| Autore | Golpîra Hêmin |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-IEEE Press, , [2021] |
| Descrizione fisica | 1 online resource (353 pages) |
| Disciplina | 621.31 |
| Collana | Wiley - IEEE Ser. |
| Soggetto topico | Electric power systems |
| ISBN |
1-119-68977-5
1-119-68983-X 1-119-68982-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction -- 1.1 Power System Stability and Control -- 1.2 Current State of Power System Stability and Control -- 1.2.1 Frequency Control -- 1.2.2 Voltage Control -- 1.2.3 Oscillation Damping -- 1.3 Data-Driven Wide-Area Power System Monitoring and Control -- 1.4 Dynamics Modeling and Parameters Estimation -- 1.4.1 Modeling of Frequency, Voltage, and Angle Controls -- 1.4.2 Parameters Estimation -- 1.5 Summary -- References -- Chapter 2 MG Penetrated Power Grid Modeling -- 2.1 Introduction -- 2.2 Basic Concepts -- 2.2.1 Dynamic Equivalencing -- 2.2.2 Background on Study Zone and External System -- 2.3 Power Grid Modeling -- 2.3.1 The Notion of Center-of Gravity (COG) -- 2.3.1.1 Key Concept -- 2.3.1.2 Basic Assumptions -- 2.3.1.3 Modeling Formulation -- 2.3.1.4 Local Frequency Estimation -- 2.3.1.5 Simulation Results -- 2.3.2 An Enhanced COG-Based Model -- 2.3.2.1 Key Concept -- 2.3.2.2 Simulation Results -- 2.3.3 Generalized Equivalent Model -- 2.3.3.1 Basic Logic -- 2.3.3.2 Simulation and Results -- 2.4 MG Equivalent Model -- 2.4.1 Islanded Mode -- 2.4.1.1 Synchronous-Based DG -- 2.4.1.2 Genset Model Validation -- 2.4.1.3 Inverter-Based DG -- 2.4.1.4 Inverter-Based DG Model Validation -- 2.4.2 Grid-Connected Mode -- 2.4.2.1 Basic Logic -- 2.4.2.2 Model Validation -- 2.5 Summary -- References -- Chapter 3 Stability Assessment of Power Grids with High Microgrid Penetration -- 3.1 Introduction -- 3.1.1 Motivation -- 3.1.2 Relations with Previous Literature -- 3.2 Frequency Stability Assessment -- 3.2.1 Background on Frequency Indices -- 3.2.1.1 Rate of Change of Frequency -- 3.2.1.2 Frequency Nadir -- 3.2.1.3 Delta Frequency Detection -- 3.2.2 Frequency Stability Assessment Under High MG Penetration Levels -- 3.2.3 Sensitivity Factors.
3.2.3.1 Frequency Response -- 3.2.3.2 Delta Frequency Detection -- 3.2.4 Simulation and Results -- 3.3 Maximum Penetration Level: Frequency Stability -- 3.3.1 Basic Principle -- 3.3.2 Background on MG Modeling -- 3.3.3 Minimum Inertia Related to Frequency Nadir -- 3.3.4 Minimum Inertia Related to Delta Frequency Detection -- 3.3.5 Minimum Inertia Related to RoCoF -- 3.3.6 Maximum Penetration Level -- 3.3.7 Simulation and Results -- 3.3.7.1 Analysis Tools -- 3.3.7.2 Dynamical Simulation Results -- 3.4 Small-Signal Stability Assessment -- 3.4.1 Basic Definition -- 3.4.2 Key Concept -- 3.4.3 Simulation and Results -- 3.5 Maximum Penetration Level: Small-Signal Stability -- 3.5.1 Basic Idea -- 3.5.2 Simulation and Results -- 3.6 Voltage-Based Realization of the MG-Integrated Power Grid -- 3.6.1 Key Concepts -- 3.6.2 Jacobian Sensitivities -- 3.6.2.1 V-P Sensitivity -- 3.6.2.2 V-Q Sensitivity -- 3.6.3 Simulation and Results -- 3.7 Summary -- References -- Chapter 4 Advanced Virtual Inertia Control and Optimal Placement -- 4.1 Introduction -- 4.2 Virtual Synchronous Generator -- 4.2.1 Concept and Structure -- 4.2.2 Basic Control Scheme and Applications -- 4.2.3 Application in Power System Dynamic Enhancement -- 4.2.3.1 Scenario 1: 10-MW Load Increase at Bus 9 -- 4.2.3.2 Scenario 2: 20-MW Power Command Decrease of G3 -- 4.2.4 Application to Power Grids with HVDC Systems -- 4.3 Dispatchable Inertia Placement -- 4.3.1 Frequency Dynamics Enhancement -- 4.3.1.1 Background: Literature Review -- 4.3.1.2 Virtual Inertia Modeling -- Main Idea -- MUSIC Analysis: Methodology and Application -- 4.3.1.3 Experimental Verification -- 4.3.1.4 Economic Modeling -- 4.3.1.5 Simulation and Results -- 4.3.1.6 Sensitivity Analysis -- 4.3.2 Small-Signal Stability -- 4.3.2.1 Objective Function -- 4.3.2.2 Simulation Results -- 4.4 Summary -- References. Chapter 5 Wide-Area Voltage Monitoring in High-Renewable Integrated Power Systems -- 5.1 Introduction -- 5.2 Voltage Control Areas: A Background -- 5.2.1 Voltage Sensitivities -- 5.2.2 Electrical Distances -- 5.2.3 Reactive Control Zones and Pilot Nodes -- 5.2.3.1 Selection of Optimal Pilot Buses -- 5.2.3.2 Selection of Control Plants -- 5.2.4 Other Approaches -- 5.3 Data-driven Approaches -- 5.3.1 Wide-Area Voltage and Reactive Power Regulation -- 5.3.2 PMU-Based Voltage Monitoring -- 5.4 Theoretical Framework -- 5.4.1 Dynamic Trajectories -- 5.4.2 Spectral Graph Theory -- 5.4.3 Kernel Methods -- 5.4.3.1 Markov Matrices -- 5.4.3.2 The Markov Clustering Algorithm -- 5.4.4 Spatiotemporal Clustering -- 5.5 Case Study -- 5.5.1 Sensitivity Studies -- 5.5.2 Data-Driven Analysis -- 5.5.3 Measurement-Based Reactive Control Areas -- 5.5.3.1 Diffusion Maps -- 5.5.4 Direct Clustering -- 5.5.5 Correlation Analysis -- 5.5.5.1 Direct Analysis of Concatenated Data -- 5.5.5.2 Two-Way Correlation Analysis -- 5.5.5.3 Partial Least Squares Correlation -- 5.6 Summary -- References -- Chapter 6 Advanced Control Synthesis -- 6.1 Introduction -- 6.2 Frequency Dynamics Enhancement -- 6.2.1 Background: The Concept of Flexible Inertia -- 6.2.2 Frequency Dynamics Propagation -- 6.2.3 Inertia-Based Control Scheme -- 6.2.4 Flexible Inertia: Practical Considerations -- 6.2.5 Results and Discussions -- 6.3 Small Signal Stability Enhancement -- 6.3.1 Key Concept -- 6.3.2 Control Scheme Design -- 6.3.3 Simulation and Results -- 6.4 Summary -- References -- Chapter 7 Small-Signal and Transient Stability Assessment Using Data-Driven Approaches -- 7.1 Background and Motivation -- 7.2 Modal Characterization Using Data-Driven Approaches -- 7.2.1 Modal Decomposition -- 7.2.2 Multisignal Prony Analysis -- 7.2.2.1 Standard Prony Analysis -- 7.2.2.2 Modified Least-Squares Algorithm. 7.2.2.3 Multichannel Prony Analysis -- 7.2.2.4 Hankel-SVD Methods -- 7.2.3 Koopman and Dynamic Mode Decomposition Representations -- 7.2.3.1 The Koopman Operator -- 7.2.4 Dynamic Mode Decomposition -- 7.2.4.1 SVD-Based Methods -- 7.2.4.2 The Companion Matrix Approach -- 7.2.4.3 Energy Criteria -- 7.3 Studies of a Small-Scale Power System Model -- 7.3.1 System Data and Operating Scenarios -- 7.3.2 Exploratory Small-Signal Analysis -- 7.3.3 Large System Performance -- 7.3.3.1 Cases B-C -- 7.3.3.2 Case D -- 7.3.4 Mode Shape Identification -- 7.3.5 Temporal Clustering -- 7.4 Large-Scale System Study -- 7.4.1 Case Study Description -- 7.4.2 Renewable Generator Modeling -- 7.4.3 Effect of Inverter-Based DGs on Oscillatory Stability -- 7.4.4 Large System Performance -- 7.4.5 Model Validation -- 7.4.5.1 Reconstructed Flow Fields -- 7.4.6 Identification of Mode Shapes Using DMD -- 7.5 Analysis Results and Discussion -- References -- Chapter 8 Solar and Wind Integration Case Studies -- 8.1 General Context and Motivation -- 8.2 Study System -- 8.3 Wind Power Integration in the South Systems -- 8.3.1 Study Region -- 8.3.2 Existing System Limitations -- 8.4 Impact of Increased Wind Penetration on the System Performance -- 8.4.1 Study Considerations and Scenario Development -- 8.4.2 Base Case Assessment -- 8.4.2.1 System Oscillatory Response -- 8.4.3 High Wind Penetration Case -- 8.5 Frequency Response -- 8.5.1 Frequency Variations -- 8.5.2 Wind and Hydropower Coordination -- 8.5.3 Response to Loss-of-Generation Events -- 8.6 Effect of Voltage Control on System Dynamic Performance -- 8.6.1 Voltage Support and Reactive Power Dispatch -- 8.6.2 Effect of Voltage Control Characteristics -- 8.7 Summary -- References -- Index. |
| Record Nr. | UNINA-9910554822303321 |
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Golpîra Hêmin
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| Hoboken, New Jersey : , : Wiley-IEEE Press, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Renewable integrated power system stability and control / / Hêmin Golpîra, Arturo R. Messina, Hassan Bevrani
| Renewable integrated power system stability and control / / Hêmin Golpîra, Arturo R. Messina, Hassan Bevrani |
| Autore | Golpîra Hêmin |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-IEEE Press, , [2021] |
| Descrizione fisica | 1 online resource (353 pages) |
| Disciplina | 621.31 |
| Collana | Wiley - IEEE |
| Soggetto topico | Electric power systems |
| ISBN |
1-119-68977-5
1-119-68983-X 1-119-68982-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction -- 1.1 Power System Stability and Control -- 1.2 Current State of Power System Stability and Control -- 1.2.1 Frequency Control -- 1.2.2 Voltage Control -- 1.2.3 Oscillation Damping -- 1.3 Data-Driven Wide-Area Power System Monitoring and Control -- 1.4 Dynamics Modeling and Parameters Estimation -- 1.4.1 Modeling of Frequency, Voltage, and Angle Controls -- 1.4.2 Parameters Estimation -- 1.5 Summary -- References -- Chapter 2 MG Penetrated Power Grid Modeling -- 2.1 Introduction -- 2.2 Basic Concepts -- 2.2.1 Dynamic Equivalencing -- 2.2.2 Background on Study Zone and External System -- 2.3 Power Grid Modeling -- 2.3.1 The Notion of Center-of Gravity (COG) -- 2.3.1.1 Key Concept -- 2.3.1.2 Basic Assumptions -- 2.3.1.3 Modeling Formulation -- 2.3.1.4 Local Frequency Estimation -- 2.3.1.5 Simulation Results -- 2.3.2 An Enhanced COG-Based Model -- 2.3.2.1 Key Concept -- 2.3.2.2 Simulation Results -- 2.3.3 Generalized Equivalent Model -- 2.3.3.1 Basic Logic -- 2.3.3.2 Simulation and Results -- 2.4 MG Equivalent Model -- 2.4.1 Islanded Mode -- 2.4.1.1 Synchronous-Based DG -- 2.4.1.2 Genset Model Validation -- 2.4.1.3 Inverter-Based DG -- 2.4.1.4 Inverter-Based DG Model Validation -- 2.4.2 Grid-Connected Mode -- 2.4.2.1 Basic Logic -- 2.4.2.2 Model Validation -- 2.5 Summary -- References -- Chapter 3 Stability Assessment of Power Grids with High Microgrid Penetration -- 3.1 Introduction -- 3.1.1 Motivation -- 3.1.2 Relations with Previous Literature -- 3.2 Frequency Stability Assessment -- 3.2.1 Background on Frequency Indices -- 3.2.1.1 Rate of Change of Frequency -- 3.2.1.2 Frequency Nadir -- 3.2.1.3 Delta Frequency Detection -- 3.2.2 Frequency Stability Assessment Under High MG Penetration Levels -- 3.2.3 Sensitivity Factors.
3.2.3.1 Frequency Response -- 3.2.3.2 Delta Frequency Detection -- 3.2.4 Simulation and Results -- 3.3 Maximum Penetration Level: Frequency Stability -- 3.3.1 Basic Principle -- 3.3.2 Background on MG Modeling -- 3.3.3 Minimum Inertia Related to Frequency Nadir -- 3.3.4 Minimum Inertia Related to Delta Frequency Detection -- 3.3.5 Minimum Inertia Related to RoCoF -- 3.3.6 Maximum Penetration Level -- 3.3.7 Simulation and Results -- 3.3.7.1 Analysis Tools -- 3.3.7.2 Dynamical Simulation Results -- 3.4 Small-Signal Stability Assessment -- 3.4.1 Basic Definition -- 3.4.2 Key Concept -- 3.4.3 Simulation and Results -- 3.5 Maximum Penetration Level: Small-Signal Stability -- 3.5.1 Basic Idea -- 3.5.2 Simulation and Results -- 3.6 Voltage-Based Realization of the MG-Integrated Power Grid -- 3.6.1 Key Concepts -- 3.6.2 Jacobian Sensitivities -- 3.6.2.1 V-P Sensitivity -- 3.6.2.2 V-Q Sensitivity -- 3.6.3 Simulation and Results -- 3.7 Summary -- References -- Chapter 4 Advanced Virtual Inertia Control and Optimal Placement -- 4.1 Introduction -- 4.2 Virtual Synchronous Generator -- 4.2.1 Concept and Structure -- 4.2.2 Basic Control Scheme and Applications -- 4.2.3 Application in Power System Dynamic Enhancement -- 4.2.3.1 Scenario 1: 10-MW Load Increase at Bus 9 -- 4.2.3.2 Scenario 2: 20-MW Power Command Decrease of G3 -- 4.2.4 Application to Power Grids with HVDC Systems -- 4.3 Dispatchable Inertia Placement -- 4.3.1 Frequency Dynamics Enhancement -- 4.3.1.1 Background: Literature Review -- 4.3.1.2 Virtual Inertia Modeling -- Main Idea -- MUSIC Analysis: Methodology and Application -- 4.3.1.3 Experimental Verification -- 4.3.1.4 Economic Modeling -- 4.3.1.5 Simulation and Results -- 4.3.1.6 Sensitivity Analysis -- 4.3.2 Small-Signal Stability -- 4.3.2.1 Objective Function -- 4.3.2.2 Simulation Results -- 4.4 Summary -- References. Chapter 5 Wide-Area Voltage Monitoring in High-Renewable Integrated Power Systems -- 5.1 Introduction -- 5.2 Voltage Control Areas: A Background -- 5.2.1 Voltage Sensitivities -- 5.2.2 Electrical Distances -- 5.2.3 Reactive Control Zones and Pilot Nodes -- 5.2.3.1 Selection of Optimal Pilot Buses -- 5.2.3.2 Selection of Control Plants -- 5.2.4 Other Approaches -- 5.3 Data-driven Approaches -- 5.3.1 Wide-Area Voltage and Reactive Power Regulation -- 5.3.2 PMU-Based Voltage Monitoring -- 5.4 Theoretical Framework -- 5.4.1 Dynamic Trajectories -- 5.4.2 Spectral Graph Theory -- 5.4.3 Kernel Methods -- 5.4.3.1 Markov Matrices -- 5.4.3.2 The Markov Clustering Algorithm -- 5.4.4 Spatiotemporal Clustering -- 5.5 Case Study -- 5.5.1 Sensitivity Studies -- 5.5.2 Data-Driven Analysis -- 5.5.3 Measurement-Based Reactive Control Areas -- 5.5.3.1 Diffusion Maps -- 5.5.4 Direct Clustering -- 5.5.5 Correlation Analysis -- 5.5.5.1 Direct Analysis of Concatenated Data -- 5.5.5.2 Two-Way Correlation Analysis -- 5.5.5.3 Partial Least Squares Correlation -- 5.6 Summary -- References -- Chapter 6 Advanced Control Synthesis -- 6.1 Introduction -- 6.2 Frequency Dynamics Enhancement -- 6.2.1 Background: The Concept of Flexible Inertia -- 6.2.2 Frequency Dynamics Propagation -- 6.2.3 Inertia-Based Control Scheme -- 6.2.4 Flexible Inertia: Practical Considerations -- 6.2.5 Results and Discussions -- 6.3 Small Signal Stability Enhancement -- 6.3.1 Key Concept -- 6.3.2 Control Scheme Design -- 6.3.3 Simulation and Results -- 6.4 Summary -- References -- Chapter 7 Small-Signal and Transient Stability Assessment Using Data-Driven Approaches -- 7.1 Background and Motivation -- 7.2 Modal Characterization Using Data-Driven Approaches -- 7.2.1 Modal Decomposition -- 7.2.2 Multisignal Prony Analysis -- 7.2.2.1 Standard Prony Analysis -- 7.2.2.2 Modified Least-Squares Algorithm. 7.2.2.3 Multichannel Prony Analysis -- 7.2.2.4 Hankel-SVD Methods -- 7.2.3 Koopman and Dynamic Mode Decomposition Representations -- 7.2.3.1 The Koopman Operator -- 7.2.4 Dynamic Mode Decomposition -- 7.2.4.1 SVD-Based Methods -- 7.2.4.2 The Companion Matrix Approach -- 7.2.4.3 Energy Criteria -- 7.3 Studies of a Small-Scale Power System Model -- 7.3.1 System Data and Operating Scenarios -- 7.3.2 Exploratory Small-Signal Analysis -- 7.3.3 Large System Performance -- 7.3.3.1 Cases B-C -- 7.3.3.2 Case D -- 7.3.4 Mode Shape Identification -- 7.3.5 Temporal Clustering -- 7.4 Large-Scale System Study -- 7.4.1 Case Study Description -- 7.4.2 Renewable Generator Modeling -- 7.4.3 Effect of Inverter-Based DGs on Oscillatory Stability -- 7.4.4 Large System Performance -- 7.4.5 Model Validation -- 7.4.5.1 Reconstructed Flow Fields -- 7.4.6 Identification of Mode Shapes Using DMD -- 7.5 Analysis Results and Discussion -- References -- Chapter 8 Solar and Wind Integration Case Studies -- 8.1 General Context and Motivation -- 8.2 Study System -- 8.3 Wind Power Integration in the South Systems -- 8.3.1 Study Region -- 8.3.2 Existing System Limitations -- 8.4 Impact of Increased Wind Penetration on the System Performance -- 8.4.1 Study Considerations and Scenario Development -- 8.4.2 Base Case Assessment -- 8.4.2.1 System Oscillatory Response -- 8.4.3 High Wind Penetration Case -- 8.5 Frequency Response -- 8.5.1 Frequency Variations -- 8.5.2 Wind and Hydropower Coordination -- 8.5.3 Response to Loss-of-Generation Events -- 8.6 Effect of Voltage Control on System Dynamic Performance -- 8.6.1 Voltage Support and Reactive Power Dispatch -- 8.6.2 Effect of Voltage Control Characteristics -- 8.7 Summary -- References -- Index. |
| Record Nr. | UNINA-9910830586803321 |
|
Golpîra Hêmin
|
||
| Hoboken, New Jersey : , : Wiley-IEEE Press, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||