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020 _a9781394162475
_qelectronic book
020 _a1394162472
_qelectronic book
020 _a9781394162468
_qelectronic book
020 _a1394162464
_qelectronic book
020 _a9781394162482
_qelectronic book
020 _a1394162480
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020 _z9781394162451
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024 7 _a10.1002/9781394162482
_2doi
035 _a(OCoLC)1395424873
037 _a10286202
_bIEEE
040 _aDLC
_beng
_erda
_cDLC
_dYDX
_dIEEEE
_dDG1
_dOCLCO
_dOCLCQ
041 _aeng
042 _apcc
050 0 4 _aTK3105
_b.K54 2024
082 0 0 _a621.31
_223/eng/20230825
100 1 _aKhodaei, Amin,
_0https://id.loc.gov/authorities/names/nb2023001251
_eauthor.
245 1 4 _aThe economics of microgrids /
_cAmin Khodaei, Ali Arabnya.
264 1 _aHoboken, New Jersey :
_bJohn Wiley & Sons, Inc. ;
_aPiscataway, NJ :
_bIEEE Press,
_c[2024]
300 _a1 online resource (xiv, 239 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent.
337 _acomputer
_bc
_2rdamedia.
338 _aonline resource
_bcr
_2rdacarrier.
340 _2rdacc
_0http://rdaregistry.info/termList/RDAColourContent/1003.
504 _aIncludes bibliographical references and index.
505 0 _aTable of Contents About the Authors ix Acknowledgments xi Acronyms xiii 1 Fundamentals of Microgrids 1 1.1 Introduction to Microgrids 1 1.2 Distributed Energy Resources for Microgrids 3 1.3 The Role of Microgrid in Power Systems 6 1.3.1 Reliability 7 1.3.2 Resiliency 7 1.3.3 Power Quality 8 1.4 Microgrid Technologies 8 1.4.1 Microgrid Power Management and Control 8 1.4.2 Microgrid Islanding 10 1.4.3 Microgrid Protection 10 1.4.4 Microgrid Communications and Human--Machine Interface (HMI) 11 1.5 Overview 12 2 Microgrid Operations Economics 19 2.1 Fundamentals of Microgrid Operations Economics 19 2.2 Dynamics of Optimal Scheduling in Microgrids 21 2.2.1 T -- τ Islanding Criterion 23 2.3 An Economic Model for Microgrid Optimal Scheduling with Multi-Period Islanding 23 2.3.1 Grid-Connected Operations 23 2.3.2 Islanded Operations 26 2.4 Case Study 28 2.5 Summary 39 3 Resilience Economics in Microgrids 41 3.1 The Art of Resilience 41 3.2 The Impact of Uncertainty 44 3.3 An Economic Model for Microgrid Resilience 46 3.4 Case Study 50 3.5 Summary 55 4 Community Microgrid Operations Management 59 4.1 Principles of Community Microgrids 59 4.2 Economic Variables in Community Microgrid Operations 61 4.3 An Economic Model for Community Microgrid Operations Management 64 4.3.1 Master Controller 64 4.3.2 Local Controller 67 4.3.3 Price Signal Calculation 67 4.3.4 Uncertainty Consideration 69 4.4 Case Study 69 4.5 Summary 75 5 Provisional Microgrids for Renewable Energy Integration 79 5.1 Economic Considerations in Provisional Microgrids 79 5.2 An Economic Model for Provisional Microgrids 83 5.2.1 Component Modeling 85 5.2.2 Problem Formulation 87 5.3 Case Study 90 5.3.1 Case 1: A Baseline Case with Load, Non-Dispatchable Generation, and Market Price Uncertainties 92 5.3.2 Case 2: Considering Uncertainty in the Coupled Microgrid's Available Unused Capacity 93 5.3.3 Case 2(a): Employing Fast Charge/Discharge Energy Storage 94 5.3.4 Case 2(b): Addition of a 1MW Dispatchable Unit 95 5.4 Summary 96 6 Engineering Economics of Microgrid Investments 99 6.1 Principles of Engineering Economics in Microgrids 99 6.2 Economic Variables in Microgrid Investments 102 6.2.1 Reliability 102 6.2.2 Resiliency 103 6.2.3 Carbon Emission Reduction 104 6.2.4 Reduced Costs of Recurring System Upgrades 104 6.2.5 Energy Efficiency 105 6.2.6 Power Quality 105 6.2.7 Lowered Energy Costs 105 6.3 Capital Expenditure and Cash Flow Analysis for Microgrids 106 6.3.1 Microgrid with a Single DER 107 6.3.2 Microgrid with Multiple DERs 109 6.4 Case Study 111 6.5 Summary 112 7 Microgrid Planning Under Uncertainty 117 7.1 Dynamics of Uncertainty in Microgrids 117 7.2 Economics of Uncertainty in Microgrids 119 7.3 An Economic Model for Microgrid Planning Under Uncertainty 120 7.3.1 Microgrid Planning Objective 121 7.3.2 Planning Constraints 121 7.3.3 Operational Constraints 122 7.3.4 Economic Assessment of DER Selection 124 7.4 Case Study 125 7.4.1 PDC vs. Chronological Curve 125 7.4.2 Optimal Microgrid Planning 128 7.5 Summary 130 8 Microgrid Expansion Planning 135 8.1 Principles of Microgrid Expansion 135 8.2 Economic Variables for Microgrid Expansion 137 8.2.1 AC vs. DC Microgrid Planning 137 8.2.2 Hybrid Microgrid Planning 139 8.3 Economic Viability Assessment Model 140 8.4 Case Study 145 8.4.1 Uncertainty Consideration 153 8.4.2 Computational Complexity 154 8.5 Summary 154 9 Microgrids for Asset Management in Power Systems 159 9.1 Principles of Asset Management 159 9.2 Economic Variables in Microgrid Asset Management 161 9.2.1 The IEEE Standard -- Guide for Loading Mineral-Oil-Immersed Transformers 161 9.2.2 Transformer Asset Management via Microgrid Optimal Scheduling 163 9.3 An Economic Model for Integration of Microgrids in Asset Management 167 9.3.1 Microgrid Optimal Scheduling (Master Problem) 169 9.3.2 Transformer Asset Management (Subproblem) 169 9.4 Case Study 171 9.5 Summary 183 10 Dynamics of Microgrids in Distribution Network Flexibility 187 10.1 Principles of Distribution Network Flexibility 187 10.2 Economic Variables for Microgrids in Electricity Distribution Networks 190 10.3 Economic Models for Distribution Network Operations Under Microgrid Dynamics 191 10.3.1 Operation Constraints (Os) 193 10.3.2 Flexibility Constraints (Fs) 195 10.3.3 Islanding Considerations 196 10.4 Case Study 197 10.5 Summary 206 11 Microgrid Operations Under Electricity Market Dynamics 211 11.1 Principles of Microgrid Operations Under Electricity Markets 211 11.2 Economic Variables of Electricity Markets in Microgrid Operations 215 11.3 An Economic Model for Microgrid Operations Planning Under Market Dynamics 217 11.3.1 Microgrid Level 217 11.3.2 DMO Level 219 11.3.3 ISO Level 221 11.4 Case Study 222 11.5 Summary 229 References 229 Index 233
520 _a"The global economy is transitioning into a future with resilient, low-carbon energy systems to adapt to and mitigate climate change's hazardous effects. Microgrids are localized grids that can connect to or disconnect from the power grid to operate autonomously, synchronously, or in isolation from it, as needed. Microgrids are capable of operating while the main grid is down, so they can strengthen grid resilience by mitigating grid disturbances and facilitating a faster system response and recovery. In addition, they can enable large-scale adoption of distributed renewable energy resources such as solar and wind."--
_cProvided by publisher.
545 0 _aAbout the Author Amin Khodaei, PhD, is a Professor of Electrical and Computer Engineering at the University of Denver. His research is focused on the climate crisis, the grid of the future, and grid-enabling technologies including artificial intelligence and quantum computing. He has published over 200 peer-reviewed technical articles on various aspects of electric grid modernization. Ali Arabnya, PhD, (a.k.a. Ali Arab) is a Research Professor of Electrical and Computer Engineering at the University of Denver. Prior, he was a consultant climate economist with the World Bank in Washington, DC. His research is focused on climate resilience, decarbonization, energy systems, and climate finance.
650 0 _aMicrogrids (Smart power grids)
_0https://id.loc.gov/authorities/subjects/sh2016000604
_xCosts.
_0https://id.loc.gov/authorities/subjects/sh99004947.
650 0 _aMicrogrids (Smart power grids)
_0https://id.loc.gov/authorities/subjects/sh2016000604
_xEconomic aspects.
_0https://id.loc.gov/authorities/subjects/sh99005484.
650 0 _aEnergy transition.
_0https://id.loc.gov/authorities/subjects/sh2021003603.
655 4 _aElectronic books.
700 1 _aArabnya, Ali,
_0https://id.loc.gov/authorities/names/no2023071505
_eauthor.
856 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394162482
_yFull text is available at Wiley Online Library Click here to view
942 _2ddc
_cER