LEADER 06178nam 2200805 450 001 9910140287303321 005 20230125200434.0 010 $a1-306-47326-8 010 $a1-118-84322-3 010 $a1-118-84335-5 024 7 $a10.1002/9781118849972 035 $a(CKB)2670000000530799 035 $a(EBL)1638154 035 $a(SSID)ssj0001131388 035 $a(PQKBManifestationID)11625899 035 $a(PQKBTitleCode)TC0001131388 035 $a(PQKBWorkID)11144326 035 $a(PQKB)11729662 035 $a(OCoLC)858159486 035 $a(MiAaPQ)EBC1638154 035 $a(DLC) 2013037234 035 $a(CaBNVSL)mat06774612 035 $a(IDAMS)0b000064820aba7d 035 $a(IEEE)6774612 035 $a(Au-PeEL)EBL1638154 035 $a(CaPaEBR)ebr10842316 035 $a(CaONFJC)MIL578577 035 $a(PPN)257640983 035 $a(EXLCZ)992670000000530799 100 $a20151222d2014 uy 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRisk assessment of power systems $emodels, methods, and applications /$fWenyuan Li, Ph.D., Fellow, IEEE, CAE, EIC, Chongqing University, China, BC Hydro, Canada 205 $aSecond edition. 210 1$aHoboken, New Jersey :$cWiley, IEEE Press,$d[2014] 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2014] 215 $a1 online resource (557 p.) 225 1 $aIeee press series on power engineering 300 $aDescription based upon print version of record. 311 $a1-118-84997-3 311 $a1-118-68670-5 320 $aIncludes bibliographical references and index. 327 $aCover; Title page; Copyright page; Dedication; Contents; Preface; Preface to the First Edition; 1: Introduction; 1.1 Risk in Power Systems; 1.2 Basic Concepts of Power System Risk Assessment; 1.2.1 System Risk Evaluation; 1.2.2 Data in Risk Evaluation; 1.2.3 Unit Interruption Cost; 1.3 Outline of the Book; 2: Outage Models of System Components; 2.1 Introduction; 2.2 Models of Independent Outages; 2.2.1 Repairable Forced Failure; 2.2.2 Aging Failure; 2.2.3 Nonrepairable Chance Failure; 2.2.4 Planned Outage; 2.2.5 Semiforced Outage; 2.2.6 Partial Failure Mode; 2.2.7 Multiple Failure Mode 327 $a2.3 Models of Dependent Outages2.3.1 Common-Cause Outage; 2.3.2 Component-Group Outage; 2.3.3 Station-Originated Outage; 2.3.4 Cascading Outage; 2.3.5 Environment-Dependent Failure; 2.4 Conclusions; 3: Parameter Estimation in Outage Models; 3.1 Introduction; 3.2 Point Estimation on Mean and Variance of Failure Data; 3.2.1 Sample Mean; 3.2.2 Sample Variance; 3.3 Interval Estimation on Mean and Variance of Failure Data; 3.3.1 General Concept of Confidence Interval; 3.3.2 Confidence Interval of Mean; 3.3.3 Confidence Interval of Variance; 3.4 Estimating Failure Frequency of Individual Components 327 $a3.4.1 Point Estimation3.4.2 Interval Estimation; 3.5 Estimating Probability from a Binomial Distribution; 3.6 Experimental Distribution of Failure Data and Its Test; 3.6.1 Experimental Distribution of Failure Data; 3.6.2 Test of Experimental Distribution; 3.7 Estimating Parameters in Aging Failure Models; 3.7.1 Mean Life and Its Standard Deviation in the Normal Model; 3.7.2 Shape and Scale Parameters in the Weibull Model; 3.7.3 Example; 3.8 Conclusions; 4: Elements of Risk Evaluation Methods; 4.1 Introduction; 4.2 Methods for Simple Systems; 4.2.1 Probability Convolution 327 $a4.2.2 Series and Parallel Networks4.2.3 Minimum Cutsets; 4.2.4 Markov Equations; 4.2.5 Frequency-Duration Approaches; 4.3 Methods for Complex Systems; 4.3.1 State Enumeration; 4.3.2 Nonsequential Monte Carlo Simulation; 4.3.3 Sequential Monte Carlo Simulation; 4.4 Correlation Models in Risk Evaluation; 4.4.1 Correlation Measures; 4.4.2 Correlation Matrix Methods; 4.4.3 Copula Functions; 4.5 Conclusions; 5: Risk Evaluation Techniques for Power Systems; 5.1 Introduction; 5.2 Techniques Used in Generation-Demand Systems; 5.2.1 Convolution Technique; 5.2.2 State Sampling Method 327 $a5.2.3 State Duration Sampling Method5.3 Techniques Used in Radial Distribution Systems; 5.3.1 Analytical Technique; 5.3.2 State Duration Sampling Method; 5.4 Techniques Used in Substation Configurations; 5.4.1 Failure Modes and Modeling; 5.4.2 Connectivity Identification; 5.4.3 Stratified State Enumeration Method; 5.4.4 State Duration Sampling Method; 5.5 Techniques Used in Composite Generation and Transmission Systems; 5.5.1 Basic Procedure; 5.5.2 Component Failure Models; 5.5.3 Load Curve Models; 5.5.4 Contingency Analysis; 5.5.5 Optimization Models for Load Curtailments 327 $a5.5.6 State Enumeration Method 330 $a"Risk Assessment of Power Systems addresses the regulations and functions of risk assessment with regard to its relevance in system planning, maintenance, and asset management. Brimming with practical examples, this edition introduces the latest risk information on renewable resources, the smart grid, voltage stability assessment, and fuzzy risk evaluation. It is a comprehensive reference of a highly pertinent topic for engineers, managers, and upper-level students who seek examples of risk theory applications in the workplace"--$cProvided by publisher. 330 $a"This book discusses the models, methods and applications of risk assessment in physical power systems with a focus on various application problems"--$cProvided by publisher. 410 0$aIeee press series on power engineering 606 $aElectric power systems$xReliability$xMathematical models 606 $aElectric power failures$xRisk assessment 606 $aMonte Carlo method 615 0$aElectric power systems$xReliability$xMathematical models. 615 0$aElectric power failures$xRisk assessment. 615 0$aMonte Carlo method. 676 $a621.319/13011 686 $aTEC007000$2bisacsh 700 $aLi$b Wenyuan$f1946-$0771711 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910140287303321 996 $aRisk assessment of power systems$91574915 997 $aUNINA