Variability, Scalability and Stability of Microgrids
- Length: 624 pages
- Edition: 1
- Language: English
- Publisher: The Institution of Engineering and Technology
- Publication Date: 2019-10-07
- ISBN-10: 1785616935
- ISBN-13: 9781785616938
- Sales Rank: #10137318 (See Top 100 Books)
A microgrid is a small network of electricity users with a local source of supply that is usually attached to a larger grid but can function independently. The interconnection of small scale generating units, such as PV and wind turbines, and energy storage systems, such as batteries, to a low voltage distribution grid involves three major challenges: variability, scalability, and stability. It must keep delivering reliable and stable power also when changing, or repairing, any component, or under varying wind and solar conditions. It also must be able to accept additional units, i.e. be scalable. This reference discusses these three challenges facing engineers and researchers in the field of power systems, covering topics such as demand side energy management, transactive energy, optimizing and sizing of microgrid components. Case studies and results provide illustrative examples in each chapter.
Cover Title Copyright Contents Preface Contributors 1 Introduction 1.1 Microgrid fundamentals and its anatomy 1.2 Microgrid technical aspects 1.2.1 Microgrid control issues 1.2.2 Power electronics in microgrid 1.2.3 Addressing power electronics reliability in microgrid 1.2.4 Use of energy storage systems in microgrid 1.2.5 Microgrid information and communication technology 1.2.6 Stability and protection issues of microgrid 1.3 Microgrid future form 1.3.1 Addressing scalability and variability 1.3.2 Transformation of microgrid to virtual power plant 1.3.3 Future trends of power electronics and its adaptation in microgrid 1.3.4 Future trends of energy storage technology 1.3.5 Future form of microgrid communication 1.4 What is in this book? 1.5 Conclusions References 2 Microgrid control overview 2.1 Introduction 2.2 Uncertainty of the generation and demand 2.2.1 Application of grid-tied MGs 2.3 MG control hierarchy 2.3.1 Primary control 2.3.2 Secondary control 2.3.3 Tertiary control 2.4 Case studies 2.4.1 Droop-based power control 2.4.2 Demand-side primary frequency control 2.4.3 Centralised secondary control 2.5 Conclusion References 3 Requirements analysis in transactive energy management 3.1 Introduction 3.2 Transactive energy management 3.3 Application of requirements engineering approaches in transactive energy management 3.3.1 The i goal modelling 3.4 Requirements analysis and modelling of the TEM system 3.4.1 Goal modelling of the TEM system 3.4.2 Methodology 3.4.3 Formalisation of multi-objective optimisation functions of the i goal model 3.5 Conclusion References 4 Transformation of microgrid to virtual power plant 4.1 Introduction 4.2 Evolution of electricity – the case of Polish electricity sector 4.3 Liberalization of the energy markets 4.3.1 Future problem identification 4.4 Microgrid turns to virtual power plant 4.4.1 MGs structure and application 4.5 Microgrid configuration 4.6 Microsource controller 4.6.1 Virtual power plant general concept 4.7 Types of Virtual Power Plants 4.7.1 An area-based approach to virtual power plants 4.7.2 Grid support and ancillary services 4.7.3 VPP model and algorithms 4.8 Difference between microgrid and VPP 4.9 Information communication technologies 4.9.1 RSTP grid mechanism 4.9.2 SHP grid mechanism 4.9.3 HSR grid mechanism 4.9.4 PRP grid mechanism 4.9.5 Microgrid/VPP cybersecurity 4.9.6 Energy management system 4.9.7 Supervision control and data acquisition 4.9.8 Control system operation and states 4.9.9 Databases 4.9.10 Database management process 4.9.11 Distribution and dispatching centre 4.10 Case study: regulation of VPP and MGs 4.11 Conclusion References 5 Operations of a clustered microgrid 5.1 Overview of clustered microgrid 5.2 Modeling of clustered microgrid 5.3 Control and operation of clustered microgrid 5.3.1 Droop-regulated strategy 5.3.2 Optimization solver 5.3.3 Modeling of non-dispatchable DERs 5.4 Optimization problem formulation and technical constraints 5.5 Case studies 5.5.1 Study case I (an overloaded MG with primary and secondary actions only) 5.5.2 Study case II (an overloaded MG with all actions) 5.5.3 Study case III (an overloaded MG with primary and tertiary actions only) 5.5.4 Study case IV (an overgenerating MG with primary and secondary actions only) 5.5.5 Study case V (an overgenerating MG with all actions) 5.5.6 Study case VI (an overgenerating MG with primary and tertiary actions only) 5.5.7 Study case VII (multiple PMGs and HMGs with all actions) 5.6 Concluding remarks Nomenclature References 6 Distributed energy network using nanogrid 6.1 Overview of nanogrid 6.1.1 Concept of nanogrid 6.1.2 Architecture of nanogrid 6.1.3 Converters used in nanogrid 6.2 Energy management in nanogrid 6.2.1 Battery-mastered control of a simple photovoltaic/battery system 6.2.2 Decentralized control for multiple battery-based nanogrid 6.2.3 Decentralized control for multiple distributed generation units based nanogrid 6.2.4 Decentralized control for multiple energy storage units based nanogrid 6.2.5 Parameter design for a centralized hierarchical control for AC nanogrid 6.3 Case study 6.3.1 Large-scaled intelligent nanogrid 6.3.2 Small-scaled intelligent nanogrid 6.3.3 Nanogrid installed in remote villages 6.3.4 Nanogrid based on cogeneration system 6.4 Conclusion References 7 Sizing of microgrid components 7.1 Microgrid components 7.2 Microgrid sizing and profit maximization 7.3 Models of distributed energy resources 7.3.1 Probabilistic wind power output model 7.3.2 Probabilistic photovoltaic power output model 7.3.3 Dynamic battery energy storage power output model 7.3.4 Micro-turbine power output model 7.4 Optimal sizing of microgrid components 7.4.1 Mathematical formulation 7.4.2 Backtracking search optimization (BSO) algorithm 7.4.3 Solution approach 7.5 Case studies 7.5.1 Case study 1 7.5.2 Case study 2 7.6 Summary References 8 Optimal sizing of energy storage system 8.1 Introduction 8.2 Energy storage technologies in microgrids: types and characteristics 8.2.1 Battery energy storage systems 8.2.2 Flywheel 8.2.3 Fuel cell 8.2.4 Superconducting magnetic energy storage 8.2.5 Supercapacitor 8.2.6 Technology comparison 8.3 Necessity of energy storage in microgrids 8.3.1 Frequency regulation 8.3.2 Voltage support 8.3.3 Reliability enhancement 8.3.4 Demand shifting and peak shaving 8.3.5 Power smoothing 8.3.6 Black start 8.3.7 Storage trades/arbitrage 8.3.8 Non-spinning reserve 8.4 Case study 8.4.1 System description and input data 8.4.2 Uncertainty modelling 8.4.3 Problem formulation 8.4.4 Numerical results 8.5 Conclusions Nomenclature References 9 Microgrid communications – protocols and standards 9.1 Introduction 9.2 Communication objectives and requirements 9.3 Communication layer 9.3.1 Home automation network 9.3.2 Building automation network 9.3.3 Neighbourhood area network 9.3.4 Local area network 9.3.5 Field area network 9.3.6 Wide area network 9.4 Communication infrastructure 9.4.1 Wired communication 9.4.2 Wireless communication 9.5 Communication protocols 9.5.1 Internet communications protocol suite 9.5.2 Modbus 9.5.3 Distributed Network Protocol version 3.3 9.5.4 IEC 61850 9.6 Importance of communication technology in microgrid control 9.7 Case study 9.8 Conclusion Nomenclature References 10 Voltage stability of microgrids 10.1 Introduction 10.1.1 Concept of voltage stability 10.1.2 Voltage stability issues of microgrid 10.1.3 Microgrid voltage stability assessment 10.2 Small-signal model of a microgrid for voltage stability analysis 10.3 Voltage stability enhancement 10.4 Case studies 10.4.1 Case study 1 10.4.2 Case study 2 10.4.3 Case study 3 10.4.4 Case study 4 10.5 Concluding remarks References Further reading 11 Frequency stability and synthetic inertia 11.1 Frequency stability issues of microgrid 11.2 Effect of low inertia on the frequency stability of microgrid 11.3 Frequency stability enhancement 11.3.1 Synchronous generator (SG) model-based topologies 11.3.2 Swing equation based 11.3.3 Frequency–power-response-based topologies 11.3.4 Droop-based approach 11.4 Case study 11.5 Concluding remarks References 12 Microgrid protection 12.1 Protective system design objectives 12.2 Conventional protective system design practice 12.2.1 Fault characterization 12.2.2 Protective equipment and scheme components 12.2.3 Fault coordination analysis and protective relaying 12.3 Microgrid protection challenges 12.3.1 Impact of distributed energy resources on power flow 12.3.2 Impact of distributed energy resources on fault current magnitude 12.3.3 Impact of microgrid connection modes and changing configurations 12.3.4 Earthing considerations 12.3.5 Cyberattacks 12.4 Promising solutions for microgrid protection 12.4.1 Limiting maximum DER capacity 12.4.2 Evolving communication standards 12.4.3 Fault current limiters 12.4.4 Utilization of the ESS for fault discrimination 12.4.5 Distributed generation control modifications 12.4.6 Protective system design process for microgrids 12.4.7 Addressing cybersecurity 12.5 DC microgrid considerations 12.5.1 DC fault characteristics 12.5.2 DC protective system approaches 12.5.3 DC protective devices 12.5.4 DC system grounding 12.6 Conclusion: future of microgrid protection References 13 Black start and islanding operations of microgrid 13.1 Microgrid operational modes 13.1.1 The microgrid 13.1.2 Microgrid hierarchical control for emergency operation 13.1.3 Extending the concept – the multi-microgrid 13.2 Microgrid islanding and reconnection 13.2.1 Microgrid primary frequency and voltage control 13.2.2 Electric vehicles contribution to primary frequency support 13.2.3 Secondary control and emergency dispatch strategies 13.2.4 Black start strategies in multi microgrids 13.2.5 Black start procedure 13.3 Case study 13.3.1 Microgrid islanding case study 13.3.2 Multi Microgrid black start case study 13.4 Concluding remarks References 14 Microgrid feasibility study and economics 14.1 Overview 14.1.1 Outline of the chapter 14.2 Theoretical background 14.2.1 Model-predictive control 14.2.2 Two-stage stochastic programming 14.3 Microgrid component modeling and constraints 14.3.1 Nomenclature 14.3.2 Loads 14.3.3 Distributed generators 14.3.4 Energy storage systems 14.3.5 Multi-energy components 14.3.6 Electrical and thermal balance 14.3.7 Interaction with the utility grid 14.4 Microgrid operational strategies 14.4.1 MPC-based energy-management system for operational optimization 14.4.2 MPC-based multi-objective AC optimal power flow 14.5 Feasibility study aspects 14.5.1 Design and operation 14.5.2 Components and topology 14.5.3 Active and reactive control strategies 14.5.4 Data collection and processing 14.5.5 Costing of microgrid components 14.6 Case studies 14.6.1 Experimental evaluation in Athens, Greece 14.6.2 Steinkjer microgrid 14.7 Conclusions References 15 Power electronics—microgrid interfacing 15.1 Importance of power electronics in a microgrid 15.2 Classifications of microgrids 15.2.1 AC microgrids 15.2.2 DC microgrids 15.3 Power electronic converters 15.3.1 General power conversation concept 15.3.2 DC–DC converters 15.3.3 DC–AC converters 15.4 Power converter switching schemes 15.4.1 Pulse width modulation 15.4.2 Carrier-based pulse width modulation 15.4.3 Zero-sequence injection 15.4.4 Space vector modulation 15.5 Power converter basic control schemes 15.5.1 Electrical model of converters 15.5.2 Control of converters in ac grids 15.5.3 Control of converters in dc grids 15.6 Filters for power converters—active and passive 15.6.1 Passive filters 15.6.2 Active filters 15.7 Case studies 15.7.1 Case I: MPC-controlled converters in ac microgrids 15.7.2 Case II: Power-sharing control in a dc grid 15.8 Conclusions References Index
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