Reliability assessment of electric power systems using Monte Carlo methods

Reliability assessment of electric power systems using Monte Carlo methods /

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 under...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Authors: Billinton, Roy (Author), Li, Wenyuan, 1946- (Author)
Format: Electronic eBook
Language:English
Published: New York : Springer Science+Business Media, 1994
Series:Language of science.
Subjects:
Electric power systems > Reliability > Mathematics.
Monte Carlo method.
Local Note:ProQuest Ebook Central
Table of Contents:
  • 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.

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