Reliability assessment of electric power systems using Monte Carlo methods / Roy Billinton, University of Saskatchewan, Saskatoon, Saskatchewan, Canada, Wenyuan Li, BC Hydro, Vancouver, British Columbia, Canada
Published
New York : Springer Science+Business Media, [1994]
1 Introduction -- 2 Basic Concepts of Power System Reliability Evaluation -- 3 Elements Of Monte Carlo Methods -- 4 Generating System Adequacy Assessment -- 5 Composite System Adequacy Assessment -- 6 Distribution System and Station Adequacy Assessment -- 7 Reliability Cost/Worth Assessment -- Appendix A Reliability Test Systems -- A.1. IEEE Reliability Test System (IEEE RTS) -- A.1.1. Load Model -- A.1.2. Generating System -- A.1.3. Transmission System -- A.1.4. Additional Data -- A.2. Roy Billinton Test System (RBTS) -- A.2.1. Brief Description of the RBTS -- A.2.2. Load Model -- A.2.3. Generating System -- A.2.4. Transmission System -- A.2.5. Station Data -- A.2.6. Reliability Worth Assessment Data -- A.3. References -- Appendix B Elements of Probability and Statistics -- B.1. Probability Concept and Calculation Rules -- B.1.1. Probability Concept -- B.1.2. Probability Calculation Rules -- B.2. Probability Distributions of Random Variables -- B.2.1. Probability Distribution Function and Density Function -- B.2.2. Important Distributions in Reliability Evaluation -- B.3. Numerical Characteristics of Random Variables -- B.3.1. Expectation and Variance -- B.3.2. Covariance and Correlation Function -- B.4. Limit Theorems -- B.4.1. Law of Large Numbers -- B.4.2. Central Limit Theorem -- B.5. Parameter Estimation -- B.5.1. Basic Definitions -- B.5.2. Sample Mean and Sample Variance -- B.6. References -- Appendix C Power System Analysis Techniques -- C.1. AC Load Flow Models -- C.1.1. Load Flow Equations -- C.1.2. Newton-Raphson Model -- C.1.3. Fast Decoupled Model -- C.2. DC Load Flow Models -- C.2.1. Basic Equations -- C.2.2. Relationship between Power Injections and Line Flows -- C.3. Optimal Power Flow -- C.4. Contingency Analysis -- C.5. References -- Appendix D Optimization Techniques -- D.1. Linear Programming -- D.1.1. Basic Concepts -- D.1.2. Generalized Simplex Method -- D.1.3. Duality Principle -- D.1.4. Dual Simplex Method -- D.1.5. Linear Programming Relaxation Technique -- D.2. Maximum Flow Method -- D.2.1. Basic Concepts -- D.2.2. Maximum Flow Problem -- D.3. References
Summary
This textbook examines the basic concepts and applications of Monte Carlo simulation. Chapters focus on the practical applications of Monte Carlo simulation in reliability evaluation of electric power generation, transmission, and distribution systems. This text is an important contribution to undergraduate and graduate courses on reliability evaluation of general engineering systems and its specialized areas
