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Computational Auction Mechanisms for Restructured Power Industry Operation, Gerald B. Shebl?


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Цена: 191560.00T
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Автор: Gerald B. Shebl?
Название:  Computational Auction Mechanisms for Restructured Power Industry Operation
ISBN: 9780792384755
Издательство: Springer
Классификация:


ISBN-10: 079238475X
Обложка/Формат: Hardcover
Страницы: 340
Вес: 0.68 кг.
Дата издания: 31.03.1999
Серия: Power Electronics and Power Systems
Язык: English
Размер: 234 x 156 x 21
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Outlines the application of auction methods for various aspects of power system operation, primarily for a competitive environment. This book provides an introduction to auction basics to explain how auctions have grown in other industries. It compares auction methods to classical techniques for power system analysis, operations, and planning.

Restructured Electric Power Systems - Analysis of Electricity Markets with Equilibrium Models

Автор: Zhang
Название: Restructured Electric Power Systems - Analysis of Electricity Markets with Equilibrium Models
ISBN: 0470260645 ISBN-13(EAN): 9780470260647
Издательство: Wiley
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Цена: 106600.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Electricity market deregulation is driving power energy production from a monopolistic structure into a competitive market environment. This book reviews the latest developments in analyzing and assessing electricity market behavior and market power, and discusses the application of such models in the practical analysis of electricity markets.

Restructured Electrical Power Systems

Автор: Shahidehpour, Mohammad
Название: Restructured Electrical Power Systems
ISBN: 082470620X ISBN-13(EAN): 9780824706203
Издательство: Taylor&Francis
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Цена: 296030.00 T
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Описание: An examination of key issues in electric utilities restructuring. It covers electric utility markets in and out of the USA, the Open Access Same-time Information System, tagging transactions, trading energy, hedging tools for managing risks in various markets, and pricing volatility, risk and forecasting.

Applied Mathematics for Restructured Electric Power Systems

Автор: Chow, J.H., Wu, F.F. (et al.) (Eds.)
Название: Applied Mathematics for Restructured Electric Power Systems
ISBN: 0387234705 ISBN-13(EAN): 9780387234700
Издательство: Springer
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Цена: 191560.00 T
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Описание: Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. Applied Mathematics for Restructured Electric Power Systems.- Reactive Power and Voltage Control Issues in Electric Power Systems.- Identification of Weak Locations Using Voltage Stability Margin Index.- Voltage and Oscillatory Stability Assessment and Control.- On-Line ATC Evaluation for Large-Scale Power Systems: Framework and Tool.- Automating Operation of Large Electric Power Systems.- Robust Control of Large Power Systems via Convex Optimization.- Instability Monitoring and Control of Power Systems.- Dynamic Embedded Optimization and Shooting Methods for Power System Performance Assessment.- Computational Intelligence Techniques for Control of FACTS Devices.- Placement and Tuning of Control Devices Using Metaheuristics.- Load Forecasting.- Independent Component Analysis Techniques for Power System Load Estimation.


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