基本信息

書名:電力係統分析新興技術

定價：38.00元

售價：25.8元,便宜12.2元,摺扣67

作者:董朝陽,張沛

齣版社：高等教育齣版社

齣版日期：2009-11-01

ISBN：9787040279771

字數：

頁碼：200

版次：1

裝幀：精裝

開本：16開

商品重量：0.540kg

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內容提要

Emerging Techniques iPower System Analysis identifies the new challenges facing the power industry following the deregulation. The book presents emerging techniques including data mining, grid puting, probabilistic methods, phasor measurement unit （PMU） and how to apply those techniques to solving the technical challenges.
The book is intended for engineers and managers ithe power industry, as well as power engineering researchers and graduate students

目錄

1 Introduction
1.1 Principles of Deregulation
1.2 Overview of DeregulatioWorldwide
1.2.1 Regulated vs Deregulated
1.2.2 Typical Electricity Markets
1.3 Uncertainties ia Power System
1.3.1 Load Modeling Issues
1.3.2 Distributed Generation
1.4 Situational Awareness
1.5 Control Performance
1.5.1 Local Protectioand Control
1.5.2 Centralized Protectioand Control
1.5.3 Possible CoordinatioProblem ithe Existing Protectioand Control System
1.5.4 Two Scenarios to Illustrate the CoordinatioIssues Among Protectioand Control Systems
1.6 Summary
References

2 Fundamentals of Emerging Techniques
2.1 Power System Cascading Failure and Analysis Techniques
2.2 Data Mining and Its ApplicatioiPower System Analysis
2.3 Grid Computing
2.4 Probabilistic vs Deterministic Approaches
2.5 Phasor Measurement Units
2.6 Topological Methods
2.7 Power System Vulnerability Assessment
2.8 Summary
References

3 Data Mining Techniques and Its ApplicatioiPower Industry
3.1 Introduction
3.2 Fundamentals of Data Mining
3.3 Correlation, Classificatioand Regression
3.4 Available Data Mining Tools
3.5 Data Mining based Market Data Analysis
3.5.1 Introductioto Electricity Price Forecasting
3.5.2 The Price Spikes iaElectricity Market
3.5.3 Framework for Price Spike Forecasting
3.5.4 Problem Formulatioof Interval Price Forecasting
3.5.5 The Interval Forecasting Approach
3.6 Data Mining based Power System Security Assessment
3.6.1 Background
3.6.2 Network PatterMining and Instability Prediction
3.7 Case Studies
3.7.1 Case Study oPrice Spike Forecasting
3.7.2 Case Study oInterval Price Forecasting
3.7.3 Case Study oSecurity Assessment
3.8 Summary
References

4 Grid Computing
4.1 Introduction
4.2 Fundamentals of Grid Computing
4.2.1 Architecture
4.2.2 Features and Functionalities
4.2.3 Grid Computing vs Parallel and Distributed Computing
4.3 Commbnly used Grid Computing Packages
4.3.1 Available Packages
4.3.2 Projects
4.3.3 Applications iPower Systems
4.4 Grid Computing based Security Assessment
4.5 Grid Computing based Reliability Assessment
4.6 Grid Computing based Power Market Analysis
4.7 Case Studies
4.7.1 Probabilistic Load Flow
4.7.2 Power System Contingency Analysis
4.7.3 Performance Comparison
4.8 Summary
References

5 Probabilistic vs Deterministic Power System Stability and Reliability Assessment

6 Phasor Measurement Unit and Its ApplicatioiModerPower Systems

7 Conclusions and Future Trends iEmerging Techniques
Appendix
References
Index

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