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Market Operations in Electric Power Systems : Forecasting, Scheduling, and Risk Management.

Author: Mohammad Shahidehpour; Hatim Yamin; Zuyi Li
Publisher: Hoboken : Wiley, 2003.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
An essential overview of post-deregulation market operations in electrical power systemsUntil recently the U.S. electricity industry was dominated by vertically integrated utilities. It is now evolving into a distributive and competitive market driven by market forces and increased competition. With electricity amounting to a 200 billion per year market in the United States, the implications of this restructuring  Read more...
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Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mohammad Shahidehpour; Hatim Yamin; Zuyi Li
ISBN: 0471443379 9780471443377 9780471463948 0471463949 1280367482 9781280367489 9780471224129 047122412X
OCLC Number: 990385348
Language Note: English.
Notes: 4.3 PBUC Solution.
Description: 1 online resource (547 pages)
Contents: MARKET OPERATIONS IN ELECTRIC POWER SYSTEMS; Contents; Preface; CHAPTER 1 Market Overview in Electric Power Systems; 1.1 Introduction; 1.2 Market Structure and Operation; 1.2.1 Objective of Market Operation; 1.2.2 Electricity Market Models; 1.2.3 Market Structure; 1.2.4 Power Market Types; 1.2.5 Market Power; 1.2.6 Key Components in Market Operation; 1.3 Overview of the Book; 1.3.1 Information Forecasting; 1.3.2 Unit Commitment in Restructured Markets; 1.3.3 Arbitrage in Electricity Markets; 1.3.4 Market Power and Gaming; 1.3.5 Asset Valuation and Risk Management. 1.3.6 Ancillary Services Auction1.3.7 Transmission Congestion Management and Pricing; CHAPTER 2 Short-Term Load Forecasting; 2.1 Introduction; 2.1.1 Applications of Load Forecasting; 2.1.2 Factors Affecting Load Patterns; 2.1.3 Load Forecasting Categories; 2.2 Short-Term Load Forecasting with ANN; 2.2.1 Introduction to ANN; 2.2.2 Application of ANN to STLF; 2.2.3 STLF using MATLAB'S ANN Toolbox; 2.3 ANN Architecture for STLF; 2.3.1 Proposed ANN Architecture; 2.3.2 Seasonal ANN; 2.3.3 Adaptive Weight; 2.3.4 Multiple-Day Forecast; 2.4 Numerical Results; 2.4.1 Training and Test Data. 2.4.2 Stopping Criteria for Training Process2.4.3 ANN Models for Comparison; 2.4.4 Performance of One-Day Forecast; 2.4.5 Performance of Multiple-Day Forecast; 2.5 Sensitivity Analysis; 2.5.1 Possible Models; 2.5.2 Sensitivity to Input Factors; 2.5.3 Inclusion of Temperature Implicitly; CHAPTER 3 Electricity Price Forecasting; 3.1 Introduction; 3.2 Issues of Electricity Pricing and Forecasting; 3.2.1 Electricity Price Basics; 3.2.2 Electricity Price Volatility; 3.2.3 Categorization of Price Forecasting; 3.2.4 Factors Considered in Price Forecasting; 3.3 Electricity Price Simulation Module. 3.3.1 A Sample of Simulation Strategies3.3.2 Simulation Example; 3.4 Price Forecasting Module based on ANN; 3.4.1 ANN Factors in Price Forecasting; 3.4.2 118-Bus System Price Forecasting with ANN; 3.5 Performance Evaluation of Price Forecasting; 3.5.1 Alternative Methods; 3.5.2 Alternative MAPE Definition; 3.6 Practical Case Studies; 3.6.1 Impact of Data Pre-Processing; 3.6.2 Impact of Quantity of Training Vectors; 3.6.3 Impact of Quantity of Input Factors; 3.6.4 Impact of Adaptive Forecasting; 3.6.5 Comparison of ANN Method with Alternative Methods; 3.7 Price Volatility Analysis Module. 3.7.1 Price Spikes Analysis3.7.2 Probability Distribution of Electricity Price; 3.8 Applications of Price Forecasting; 3.8.1 Application of Point Price Forecast to Making Generation Schedule; 3.8.2 Application of Probability Distribution of Price to Asset Valuation and Risk Analysis; 3.8.3 Application of Probability Distribution of Price to Options Valuation; 3.8.4 Application of Conditional Probability Distribution of Price on Load to Forward Price Forecasting; CHAPTER 4 Price-Based Unit Commitment; 4.1 Introduction; 4.2 PBUC Formulation; 4.2.1 System Constraints; 4.2.2 Unit Constraints.
Other Titles: Wiley - IEEE Ser
Market operations in electric power systems: forecasting, scheduling, and risk management

Abstract:

An essential overview of post-deregulation market operations in electrical power systemsUntil recently the U.S. electricity industry was dominated by vertically integrated utilities. It is now evolving into a distributive and competitive market driven by market forces and increased competition. With electricity amounting to a 200 billion per year market in the United States, the implications of this restructuring will naturally affect the rest of the world. Why is restructuring necessary? What are the components of restructuring? How is the new structure different from the old.

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