Risk Assessment for Power Systems
-15%
portes grátis
Risk Assessment for Power Systems
Models, Methods, and Applications
Li, Wenyuan
John Wiley and Sons Ltd
01/2005
326
Dura
Inglês
9780471631682
047163168X
15 a 20 dias
652
Power system risk assessment is becoming an important and mandatory task in planning, operation, maintenance, and asset management of utilities, particularly in the deregulation environment. However, many utilities engineers and managers lack knowledge in this area since it was not a necessary study topic for power engineering students in the past.
Preface. 1 Introduction. 1.1 Risk in Power Systems. 1.2 Basic Concepts of Power System Risk Assessment. 1.3 Outline of the Book. 2 Outage Models of System Components. 2.1 Introduction. 2.2 Models of Independent Outages. 2.3 Models of Dependent Outages. 2.4 Conclusions. 3 Parameter Estimation in Outage Models. 3.1 Introduction. 3.2 Point Estimation of Mean and Variance of Failure Data. 3.3 Interval Estimation of Mean and Variance of Failure Data. 3.4 Estimating Failure Frequency of Individual Components. 3.5 Estimating Probability from a Binomial Distribution. 3.6 Experimental Distribution of Failure Data and Its Test. 3.7 Estimating Parameters in Aging Failure Models. 3.8 Conclusions. 4 Elements of Risk Evaluation Methods. 4.1 Introduction. 4.2 Methods for Simple Systems. 4.3 Methods for Complex Systems. 4.4. Conclusions. 5 Risk Evaluation Techniques for Power Systems. 5.1 Introduction. 5.2 Techniques Used in Generation--Demand Systems. 5.3 Techniques Used in Radial Distribution Systems. 5.4 Techniques Used in Substation Configurations. 5.5 Techniques Used in Composite Generation and Transmission Systems. 5.6 Conclusions. 6 Application of Risk Evaluation to Transmission Development Planning. 6.1 Introduction. 6.2 Concept of Probabilistic Planning. 6.3 Risk Evaluation Approach. 6.4 Example 1: Selecting the Lowest--Cost Planning Alternative. 6.5 Example 2: Applying Different Planning Criteria. 6.6 Conclusions. 7 Application of Risk Evaluation to Transmission Operation Planning. 7.1 Introduction. 7.2 Concept of Risk Evaluation in Operation Planning. 7.3 Risk Evaluation Method. 7.4 Example 1: Determining the Lowest--Risk Operation Mode. 7.5 Example 2: A Simple Case by Hand Calculations. 7.6 Conclusions. 8 Application of Risk Evaluation to Generation Source Planning. 8.1 Introduction. 8.2 Procedure for Reliability Planning. 8.3 Simulation of Generation and Risk Costs. 8.4 Example 1: Selecting Location and Size of Cogenerators. 8.5 Example 2: Making a Decision to Retire a Local Generation Plant. 8.6 Conclusions. 9 Selection of Substation Configurations. 9.1 Introduction. 9.2 Load Curtailment Model. 9.3 Risk Evaluation Approach. 9.4 Example 1: Selecting Substation Configuration. 9.5 Example 2: Selecting Transmission Line Arrangement Associated with Substations. 9.6 Conclusions. 10 Reliability--Centered Maintenance. 10.1 Introduction. 10.2 Basic Tasks in RCM. 10.3 Example 1: Transmission Maintenance Scheduling. 10.4 Example 2: Workforce Planning in Maintenance. 10.5 Example 3: A Simple Case Performed by Hand Calculations. 10.6 Conclusions. 11 Probabilistic Spare--Equipment Analysis. 11.1 Introduction. 11.2 Spare--Equipment Analysis Based on Reliability Criteria. 11.3 Spare--Equipment Analysis Using the Probabilistic Cost Method. 11.4 Example 1: Determining Number and Timing of Spare Transformers. 11.5 Example 2: Determining Redundancy Level of 500 kV Reactors. 11.6 Conclusions. 12 Reliability--Based Transmission--Service Pricing. 12.1 Introduction. 12.2 Basic Concept. 12.3 Calculation Methods. 12.4 Rate Design. 12.5 Application Example. 12.6 Conclusions. 13 Probabilistic Transient Stability Assessment. 13.1 Introduction. 13.2 Probabilistic Modeling and Simulation Methods. 13.3 Procedure. 13.4 Examples. 13.5 Conclusions. Appendix A Basic Probability Concepts. A.1 Probability Calculation Rules. A.2 Random Variable and its Distribution. A.3 Important Distributions in Risk Evaluation. A.4 Numerical Characteristics. Appendix B Elements of Monte Carlo Simulation. B.1 General Concept. B.2 Random Number Generators. B.3 Inverse Transform Method of Generating Random Variates. B.4 Important Random Variates in Risk Evaluation. Appendix C Power--Flow Models. C.1 AC Power--Flow Models. C.2 DC Power--Flow Models. Appendix D Optimization Algorithms. D.1 Simplex Methods for Linear Programming. D.2 Interior Point Method for Nonlinear Programming. Appendix E Three Probability Distribution Tables. References. Index. About the Author.
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Power system risk assessment is becoming an important and mandatory task in planning, operation, maintenance, and asset management of utilities, particularly in the deregulation environment. However, many utilities engineers and managers lack knowledge in this area since it was not a necessary study topic for power engineering students in the past.
Preface. 1 Introduction. 1.1 Risk in Power Systems. 1.2 Basic Concepts of Power System Risk Assessment. 1.3 Outline of the Book. 2 Outage Models of System Components. 2.1 Introduction. 2.2 Models of Independent Outages. 2.3 Models of Dependent Outages. 2.4 Conclusions. 3 Parameter Estimation in Outage Models. 3.1 Introduction. 3.2 Point Estimation of Mean and Variance of Failure Data. 3.3 Interval Estimation of Mean and Variance of Failure Data. 3.4 Estimating Failure Frequency of Individual Components. 3.5 Estimating Probability from a Binomial Distribution. 3.6 Experimental Distribution of Failure Data and Its Test. 3.7 Estimating Parameters in Aging Failure Models. 3.8 Conclusions. 4 Elements of Risk Evaluation Methods. 4.1 Introduction. 4.2 Methods for Simple Systems. 4.3 Methods for Complex Systems. 4.4. Conclusions. 5 Risk Evaluation Techniques for Power Systems. 5.1 Introduction. 5.2 Techniques Used in Generation--Demand Systems. 5.3 Techniques Used in Radial Distribution Systems. 5.4 Techniques Used in Substation Configurations. 5.5 Techniques Used in Composite Generation and Transmission Systems. 5.6 Conclusions. 6 Application of Risk Evaluation to Transmission Development Planning. 6.1 Introduction. 6.2 Concept of Probabilistic Planning. 6.3 Risk Evaluation Approach. 6.4 Example 1: Selecting the Lowest--Cost Planning Alternative. 6.5 Example 2: Applying Different Planning Criteria. 6.6 Conclusions. 7 Application of Risk Evaluation to Transmission Operation Planning. 7.1 Introduction. 7.2 Concept of Risk Evaluation in Operation Planning. 7.3 Risk Evaluation Method. 7.4 Example 1: Determining the Lowest--Risk Operation Mode. 7.5 Example 2: A Simple Case by Hand Calculations. 7.6 Conclusions. 8 Application of Risk Evaluation to Generation Source Planning. 8.1 Introduction. 8.2 Procedure for Reliability Planning. 8.3 Simulation of Generation and Risk Costs. 8.4 Example 1: Selecting Location and Size of Cogenerators. 8.5 Example 2: Making a Decision to Retire a Local Generation Plant. 8.6 Conclusions. 9 Selection of Substation Configurations. 9.1 Introduction. 9.2 Load Curtailment Model. 9.3 Risk Evaluation Approach. 9.4 Example 1: Selecting Substation Configuration. 9.5 Example 2: Selecting Transmission Line Arrangement Associated with Substations. 9.6 Conclusions. 10 Reliability--Centered Maintenance. 10.1 Introduction. 10.2 Basic Tasks in RCM. 10.3 Example 1: Transmission Maintenance Scheduling. 10.4 Example 2: Workforce Planning in Maintenance. 10.5 Example 3: A Simple Case Performed by Hand Calculations. 10.6 Conclusions. 11 Probabilistic Spare--Equipment Analysis. 11.1 Introduction. 11.2 Spare--Equipment Analysis Based on Reliability Criteria. 11.3 Spare--Equipment Analysis Using the Probabilistic Cost Method. 11.4 Example 1: Determining Number and Timing of Spare Transformers. 11.5 Example 2: Determining Redundancy Level of 500 kV Reactors. 11.6 Conclusions. 12 Reliability--Based Transmission--Service Pricing. 12.1 Introduction. 12.2 Basic Concept. 12.3 Calculation Methods. 12.4 Rate Design. 12.5 Application Example. 12.6 Conclusions. 13 Probabilistic Transient Stability Assessment. 13.1 Introduction. 13.2 Probabilistic Modeling and Simulation Methods. 13.3 Procedure. 13.4 Examples. 13.5 Conclusions. Appendix A Basic Probability Concepts. A.1 Probability Calculation Rules. A.2 Random Variable and its Distribution. A.3 Important Distributions in Risk Evaluation. A.4 Numerical Characteristics. Appendix B Elements of Monte Carlo Simulation. B.1 General Concept. B.2 Random Number Generators. B.3 Inverse Transform Method of Generating Random Variates. B.4 Important Random Variates in Risk Evaluation. Appendix C Power--Flow Models. C.1 AC Power--Flow Models. C.2 DC Power--Flow Models. Appendix D Optimization Algorithms. D.1 Simplex Methods for Linear Programming. D.2 Interior Point Method for Nonlinear Programming. Appendix E Three Probability Distribution Tables. References. Index. About the Author.
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