{"product_id":"probabilistic-power-system-expansion-planning-with-renewable-energy-resources-and-energy-storage-systems-hardback-9781119684138","title":"Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems (Hardback) 9781119684138","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eProbabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eJaeseok Choi (Author), Kwang Y. Lee (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119684138, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 5 November 2021\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e512 pages\u003cbr\u003e1 x 1 x 1 cm, 0.454 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003ci\u003e\u003cb\u003eProbabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems\u003c\/b\u003e\u003c\/i\u003e \u003cp\u003e\u003cb\u003eDiscover how modern techniques have shaped complex power system expansion planning with this one-stop resource from two experts in the field\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eProbabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems delivers\u003c\/i\u003e a comprehensive collection of innovative approaches to the probabilistic planning of generation and transmission systems under uncertainties. The book includes renewables and energy storage calculations when using probabilistic and deterministic reliability techniques to assess system performance from a long-term expansion planning viewpoint.\u003c\/p\u003e \u003cp\u003eDivided into two sections, the book first covers topics related to Generation Expansion Planning, with chapters on cost assessment, methodology and optimization, and more. The second and final section provides information on Transmission System Expansion Planning, with chapters on reliability constraints, probabilistic production cost simulation, and more.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eProbabilistic Power System Expansion Planning\u003c\/i\u003e compares the optimization and methodology across dynamic, linear, and integer programming and explores the branch and bound algorithm. Along with case studies to demonstrate how the techniques described within have been applied in complex power system expansion planning problems, readers will enjoy:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA thorough discussion of generation expansion planning, including cost assessment, methodology and optimization, and probabilistic production cost\u003c\/li\u003e \u003cli\u003eAn exploration of transmission system expansion planning, including the branch and bound algorithm, probabilistic production cost simulation for TEP, and TEP with reliability constraints\u003c\/li\u003e \u003cli\u003eAn examination of fuzzy decision making applied to transmission system expansion planning\u003c\/li\u003e \u003cli\u003eA treatment of probabilistic reliability-based grid expansion planning of power systems including wind turbine generators\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for power and energy systems designers, planners, operators, consultants, practicing engineers, software developers, and researchers, \u003ci\u003eProbabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems\u003c\/i\u003e will also earn a place in the libraries of practicing engineers who regularly deal with optimization problems.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eAuthor Biographies xvii\u003cbr\u003ePreface xix\u003cbr\u003eAcknowledgments xxv\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Generation Expansion Planning 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 3\u003cbr\u003e\u003c\/b\u003e1.1 Electricity Outlook 3\u003cbr\u003e1.2 Renewables 8\u003cbr\u003e1.3 Power System Planning 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Background on Generation Expansion Planning 15\u003cbr\u003e\u003c\/b\u003e2.1 Methodology and Issues 15\u003cbr\u003e2.2 Formulation of the Least-Cost Generation Expansion Planning Problem 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Cost Assessment and Methodologies in Generation Expansion Planning 21\u003cbr\u003e\u003c\/b\u003e3.1 Basic Cost Concepts 21\u003cbr\u003e3.2 Methodologies 26\u003cbr\u003e3.3 Conventional Approach for Load Modeling 34\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Load Model and Generation Expansion Planning 39\u003cbr\u003e\u003c\/b\u003e4.1 Introduction 39\u003cbr\u003e4.2 Analytical Approach for Long-Term Generation Expansion Planning 40\u003cbr\u003e4.3 Optimal Utilization of Hydro Resources 50\u003cbr\u003e4.4 Long-Range Generation Expansion Planning 56\u003cbr\u003e4.5 Case Studies 60\u003cbr\u003e4.6 Conclusion 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Probabilistic Production Simulation Model 67\u003cbr\u003e\u003c\/b\u003e5.1 Introduction 67\u003cbr\u003e5.2 Effective Load Distribution Curve 67\u003cbr\u003e5.3 Case Studies 71\u003cbr\u003e5.4 Probabilistic Production Simulation Algorithm 82\u003cbr\u003e5.5 Supply Reserve Rate 90\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Decision Maker's Satisfaction Using Fuzzy Set Theory 95\u003cbr\u003e\u003c\/b\u003e6.1 Introduction 95\u003cbr\u003e6.2 Fuzzy Dynamic Programming 96\u003cbr\u003e6.3 Best Generation Mix 97\u003cbr\u003e6.4 Case Study 102\u003cbr\u003e6.5 Conclusion 108\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Best Generation Mix Considering Air Pollution Constraints 111\u003cbr\u003e\u003c\/b\u003e7.1 Introduction 111\u003cbr\u003e7.2 Concept of Flexible Planning 111\u003cbr\u003e7.3 LP Formulation of the Best Generation Mix 112\u003cbr\u003e7.4 Fuzzy LP Formulation of Flexible Generation Mix 116\u003cbr\u003e7.5 Case Studies 118\u003cbr\u003e7.6 Conclusion 124\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Generation System Expansion Planning with Renewable Energy 127\u003cbr\u003e\u003c\/b\u003e8.1 Introduction 127\u003cbr\u003e8.2 LP Formulation of the Best Generation Mix 128\u003cbr\u003e8.3 Fuzzy LP Formulation of Flexible Generation Mix 132\u003cbr\u003e8.4 Case Studies 134\u003cbr\u003e8.5 Conclusion 140\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Reliability Evaluation for Power System Planning with Wind Generators and Multi-Energy Storage Systems 141\u003cbr\u003e\u003c\/b\u003e9.1 Introduction 141\u003cbr\u003e9.2 Probabilistic Reliability Evaluation by Monte Carlo Simulation 143\u003cbr\u003e9.3 Probabilistic Output Prediction Model of WTG 145\u003cbr\u003e9.4 Multi-Energy Storage System Operational Model 147\u003cbr\u003e9.5 Multi-ESS Operation Rule 150\u003cbr\u003e9.6 Reliability Evaluation with Energy Storage System 151\u003cbr\u003e9.7 Case Studies 152\u003cbr\u003e9.8 Conclusion 163\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Genetic Algorithm for Generation Expansion Planning and Reactive Power Planning 177\u003cbr\u003e\u003c\/b\u003e10.1 Introduction 177\u003cbr\u003e10.2 Generation Expansion Planning 178\u003cbr\u003e10.3 The Least-Cost GEP Problem 179\u003cbr\u003e10.4 Simple Genetic Algorithm 180\u003cbr\u003e10.5 Improved GA for the Least-Cost GEP 182\u003cbr\u003e10.6 Case Studies 186\u003cbr\u003e10.7 Reactive Power Planning 192\u003cbr\u003e10.8 Decomposition of Reactive Power Planning Problem 194\u003cbr\u003e10.9 Solution Algorithm for VAR Planning 196\u003cbr\u003e10.10 Simulation Results 198\u003cbr\u003e10.11 Conclusion 201\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Transmission System Expansion Planning 213\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Transmission Expansion Planning Problem 215\u003cbr\u003e\u003c\/b\u003e11.1 Introduction 215\u003cbr\u003e11.2 Long-Term Transmission Expansion Planning 216\u003cbr\u003e11.3 Yearly Transmission Expansion Planning 218\u003cbr\u003e11.4 Long-Term Transmission Planning Problem 224\u003cbr\u003e11.5 Case Study 227\u003cbr\u003e11.6 Conclusion 232\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Models and Methodologies 235\u003cbr\u003e\u003c\/b\u003e12.1 Introduction 235\u003cbr\u003e12.2 Transmission System Expansion Planning Problem 235\u003cbr\u003e12.3 Cost Evaluation for TEP Considering Electricity Market 236\u003cbr\u003e12.4 Model Development History for TEP Problem 237\u003cbr\u003e12.5 General DC Power Flow-Based Formulation of TEP Problem 238\u003cbr\u003e12.6 Branch and Bound Algorithm 246\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Probabilistic Production Cost Simulation for TEP 257\u003cbr\u003e\u003c\/b\u003e13.1 Introduction 257\u003cbr\u003e13.2 Modeling of Extended Effective Load for Composite Power System 259\u003cbr\u003e13.3 Probability Distribution Function of the Synthesized Fictitious Equivalent Generator 263\u003cbr\u003e13.4 Reliability Evaluation and Probabilistic Production Cost Simulation at Load Points 265\u003cbr\u003e13.5 Case Studies 266\u003cbr\u003e13.6 Conclusion 288\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Reliability Constraints 291\u003cbr\u003e\u003c\/b\u003e14.1 Deterministic Reliability Constraint Using Contingency Constraints 291\u003cbr\u003e14.2 Deterministic Reliability Constraints 322\u003cbr\u003e14.3 Probabilistic Reliability Constraints 333\u003cbr\u003e14.4 Outage Cost Constraints 357\u003cbr\u003e14.5 Deterministic–Probabilistic (D–P) Criteria 373\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Fuzzy Decision Making for TEP 375\u003cbr\u003e\u003c\/b\u003e15.1 Introduction 375\u003cbr\u003e15.2 Fuzzy Transmission Expansion Planning Problem 377\u003cbr\u003e15.3 Equivalent Crisp Integer Programming and Branch and Bound Method 379\u003cbr\u003e15.4 Membership Functions 380\u003cbr\u003e15.5 Solution Algorithm 381\u003cbr\u003e15.6 Testing 382\u003cbr\u003e15.7 Case Study 390\u003cbr\u003e15.8 Conclusion 396\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Optimal Reliability Criteria for TEP 401\u003cbr\u003e\u003c\/b\u003e16.1 Introduction 401\u003cbr\u003e16.2 Probabilistic Optimal Reliability Criterion 401\u003cbr\u003e16.3 Deterministic Reliability Criterion for Composite Power System Expansion Planning 416\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Probabilistic Reliability-Based Expansion Planning with Wind Turbine Generators 433\u003cbr\u003e\u003c\/b\u003e17.1 Introduction 433\u003cbr\u003e17.2 The Multistate Operation Model of WTG 434\u003cbr\u003e17.3 Reliability Evaluation of a Composite Power System with WTG 438\u003cbr\u003e17.4 Case Study 441\u003cbr\u003e17.5 Conclusion 448\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Probabilistic Reliability-Based HVDC Expansion Planning with Wind Turbine Generators 449\u003cbr\u003e\u003c\/b\u003e18.1 The Status of HVDC 449\u003cbr\u003e18.2 HVDC Technology for Energy Efficiency and Grid Reliability 451\u003cbr\u003e18.3 HVDC Impacts on Transmission System Reliabili ty 455\u003cbr\u003e18.4 Case Study 455\u003c\/p\u003e \u003cp\u003eReferences 465\u003cbr\u003eIndex 469\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Brand New","offer_id":52428658770200,"sku":"9781119684138","price":90.48,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119684138.jpg?v=1784683577","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/probabilistic-power-system-expansion-planning-with-renewable-energy-resources-and-energy-storage-systems-hardback-9781119684138","provider":"Freshly Printed Books","version":"1.0","type":"link"}