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ویرایش: 1
نویسندگان: Magdi S. Mahmoud
سری: 2
ISBN (شابک) : 9780081017531
ناشر: Elsevier
سال نشر: 2017
تعداد صفحات: 383
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 16 مگابایت
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در صورت تبدیل فایل کتاب Microgrid: Advanced Control Methods and Renewable Energy System Integration به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب Microgrid: روش های کنترل پیشرفته و یکپارچه سازی سیستم انرژی های تجدیدپذیر نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
fm Title Page copyright Copyright contributor Contributors about editor About the Editor preface Preface ack Acknowledgments ch1 Microgrid Control Problems and Related Issues Introduction Microgrid Review Microgrid Components Microsources Microturbines Fuel Cells Storage Devices DER Interfaces Microgrid Controls Grid-Connected Operation Islanded Operation Inverter Controller Microgrid Classification Control Functions Control Operations of Microgrids Electronically Coupled Microgrids Basic Control Techniques Centralized Control A Microgrid as a System of Systems SoS Structure SoS Framework Control Hierarchy Grid Synchronization in Distributed Generation Units Overall Microgrid Modeling for Control Implementation Control Methods for a Microgrid System of Systems Hierarchical Control Consensus Control Decentralized Control Networked Control Future Directions Conclusions Acknowledgments References ch2 Distributed Control Techniques in Microgrids Introduction Definitions of the Smart Grid and a Microgrid Overview of the Control Structure Control Requirements Control Hierarchy Primary Control Secondary Control Tertiary Control Distributed Control Within Control Hierarchy Overview of Distributed Techniques Droop-Based Techniques Distributed Model Predictive Control-Based Techniques Consensus-Based Techniques Agent-Based Techniques Decomposition-Based Techniques Applications in Power Systems Application in Primary Control Application in Voltage Coordination Application in Economic Power Coordination Application in Frequency Coordination Conclusions and Future Trends Challenges Ahead High-Voltage DC Nonmodel-Based Control Model Predictive Control References ch3 Hierarchical Power Sharing Control in DC Microgrids Introduction Advantages of DC Microgrids Applications of DC Microgrids Power Management Issues Classification of Energy Units in DC Microgrids Hierarchical Power Sharing in DC Microgrids Hierarchical Power Sharing in Conventional Power Systems Primary Control: Level I Droop Control Cost-Based Droop Control Secondary Control: Level II Centralized Controller Decentralized Controller Tertiary Control: Level III Power Flow Control Between the Microgridand the Utility Grid Power Flow Control Among a Cluster of Microgrids Power Flow Control Among Distributed Generatorsin a DC Microgrid Autonomous Operation of DC Microgrids Autonomous Droop Approach Control of the Converters in Autonomous DC Microgrids Conclusion and Future Work References ch4 Master/Slave Power-Based Control of Low-Voltage Microgrids Introduction Master-Slave Architecture Control Principle Control Strategy Grid-Connected Operation Islanded Operation Power-Based Control Data Collection and Preprocessing Data Collection Preprocessing Set Point Computation Active Power Control Reactive Power Control Grid-Connected Mode: Active and Reactive Power Control Remarks on Voltage Control Control Analysis Power-Based Principle Analysis System Analysis Stability Analysis Application Example Active Power Profiles Power Flow at the PCC Distribution Losses Voltage Deviations at Grid Nodes Performance Indexes Summary References ch5 Online Adaptive Learning Control Schemes for Microgrids Introduction Autonomous Microgrid System State-Space Model of the Autonomous Microgrid Reinforcement Learning Techniques Heuristic Dynamic Programming Discrete-Time Bellman Equation Value Iteration Algorithm Actor-Critic Neural Networks Online Actor-Critic Neural Network Implementation Performance Evaluation of the Proposed Controller Photovoltaic Solar Cells Cooperative Control for Dynamic Games Over Graphs Graphs Formulation of the Cooperative Control Problem Formulation of Dynamic Graphical Games Evaluation of the Dynamic Graphical Game Discrete-Time Coupled Hamiltonian Functions Discrete-Time Bellman Equations Coupled HJB Optimality Equations Nash Solution for the Dynamic Graphical Game Online Adaptive Learning Solution Critic Neural Network Implementation for Online Adaptive Learning [alg5.3]Algorithm 5.3 Online Critic-Network Tuning in Real Time Simulation Results Conclusions Acknowledgments References ch6 An Optimization Approach to Design Robust Controller for Voltage Source Inverters Introduction System Modeling Preliminaries Derivation of the Mathematical Model of the System The Proposed Control Design Method Controller for Robust Stabilization Robust Stabilization Integral Control for Set Point Tracking Controller Optimization Controller Implementation Results and Analysis Controller Design Robustness Test Disturbance Test Tracking Performance Test Conclusion Acknowledgments References ch7 Demand Side Management in Microgrid Control Systems Introduction Demand-Side Management Definition History Advantages Related Historical Event: The California Electricity Crisis Description of Events Analysis of the Reasons Remarks Demand Response Definition Services Category Peak Clipping Valley Filling Load Shifting Strategic Conservation Strategic Load Growth Customers Category Residential Sector Industrial Sector Commercial Sector Summary Loads Category Deferrable Loads and Nondeferrable Loads Adjustable Loads and Nonadjustable Loads Approaches Category Incentive-Based Demand Response Time-Based Demand Response Demand-Side Management Methods Multiobjective Optimization Method Linear Matrix Inequality Approach Conclusions Acknowledgments References ch8 Towards a Concept of Cooperating Power Network for Energy Management and Control of Microgrids Introduction Toward the Concept of a Network of Smart Microgrids The Network Model and Architecture Microgrid Architecture Wind Power Generation Modeling Solar Photovoltaic Generator Modeling Energy Storage System Dynamics Loads Energy Management Unit Demand-Side Management and Demand Response Price-Based Demand Response Programs Control Strategies for MGs Hierarchical Control of MGs Power Control Strategy for the Network of MGs Problem Formulation Necessary Conditions for Global Optimality State Variable Constraints The Optimal Control Strategy of the Network of MGs Example LQG-Based Optimal Control of Power Flows in a Smart Network of MGs Problem Formulation LQG Optimal Control Strategy Example Model Predictive Control-Based Power Scheduling in a Network of MGs Model Predictive Control-Based Power Scheduling Optimization Problem Formulation Example Conclusions References ch9 Power Electronics for Microgrids: Concepts and Future Trends State of the Art in DC Microgrid Technology DC MG Applications Battery-Based DC Architectures Flexible DC MG Architecture DC MG Control Hierarchical Layers Distributed Control Principles Converters in DC MGs Protection Systems for DC MGs Protection Devices Design of Protection Systems Conclusions and Future Trends References ch10 Power Electronic Converters in Microgrid Applications Introduction Power Semiconductor Switches Classification of Power Converters Conventional Two-Level Converter Pulse Width Modulation Carrier-Based Pulse Width Modulation Zero Sequence Injection Space Vector Modulation Modeling Three-Level Neutral Point-Clamped Inverters Different Modes of Operation of Power Converters Power Converter Topologies for Renewable and Distributed Energy Systems PV Systems Wind Energy Conversion Systems (WECS) Storage System Converters Conclusion References ch11 Power Talk: Communication in a DC Microgrid Introduction Control in DC Microgrids Primary Control Upper Control Layers: Secondary and Tertiary Control Communications for Microgrid Control Power Talk for DC Microgrids: The Foundations Model of a Low-Voltage DC Microgrid The General Power Talk Multiple-Access Channel Communication With Detection Spaces Time Division Multiple Access for Single-Bus and Multibus Systems Full Duplex for Single-Bus Systems Full-Duplex Systems The Main Communication Impairment: Dealing With Load Variations Constraints: Signaling Space Conclusion References ch12 Pilot-Scale Implementation of Coordinated Control for Autonomous Microgrids Electronically Coupled Distributed Generation Units System Layout Mathematical Model Laboratory-Scale Experiment I Voltage Tracking Properties of Distributed Generation Unit 1 Voltage Tracking Properties of Distributed Generation Unit 2 Effect of Load Perturbations The First Case The Second Case The Third Case Laboratory-Scale Experiment II Microgrid Setup Implementation Laboratory-Scale Experiment III Microgrid-Battery Energy Storage System Architecture Microgrid-Battery Energy Storage System Operation: First Scheme Microgrid-Battery Energy Storage System Operation: Second Scheme Conclusions Acknowledgments References Index Index A B C D E F G H I L M N O P Q R S T U V W Z