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  • Produktbild: Price-Based Commitment Decisions in the Electricity Market
  • Produktbild: Price-Based Commitment Decisions in the Electricity Market

Price-Based Commitment Decisions in the Electricity Market

Aus der Reihe Advances in Industrial Control

Fr. 72.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.10.2012

Verlag

Springer London

Seitenzahl

242

Maße (L/B/H)

23.5/15.5/1.5 cm

Gewicht

406 g

Auflage

Softcover reprint of the original 1st ed. 1999

Sprache

Englisch

ISBN

978-1-4471-1162-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.10.2012

Verlag

Springer London

Seitenzahl

242

Maße (L/B/H)

23.5/15.5/1.5 cm

Gewicht

406 g

Auflage

Softcover reprint of the original 1st ed. 1999

Sprache

Englisch

ISBN

978-1-4471-1162-7

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Price-Based Commitment Decisions in the Electricity Market
  • Produktbild: Price-Based Commitment Decisions in the Electricity Market
  • 1 Introduction.- 2 The Unit Commitment Problem.- 2.1 Unit Commitment in a Regulated Industry.- 2.2 Present Unit Commitment Solution Methods.- 2.3 Interruptible Service Contracts.- 3 Unit Commitment in a Deregulated Environment.- 3.1 Possible Formats for the Electricity Market.- 3.1.1 The Poolco Marketplace.- 3.1.2 The Market of Bilateral Contracts.- 3.2 Unit Commitment for an Individual Supplier.- 3.2.1 Bilateral Market.- 3.2.2 Poolco Market.- 3.3 Multiple Generation.- 3.4 Secondary Market for Reliability.- 3.5 Other Issues.- 4 Survey of the Dynamic Programming Formulation.- 4.1 Finite Horizon Problems.- 4.2 Infinite Horizon Problems with a Discount Factor.- 4.3 Stochastic Shortest Path Problems.- 4.4 Average Cost per Stage Problems.- 5 Unit Commitment for an Individual Power Producer.- 5.1 Unit Commitment without Generation Limits.- 5.2 Unit Commitment with Generation Limits.- 5.2.1 Truncated Normal Distributions.- 5.2.2 Truncated Lognormal Distributions.- 5.2.3 Expected Profit of Generation.- 6 Price Process of Electricity.- 6.1 Price Process Models.- 6.1.1 Long Term Model Behavior.- 6.1.2 Price Models using Logarithms.- 6.1.3 Unit Root Tests.- 6.1.4 Application of Unit Root Test to PJM Electricity Data.- 6.2 Correlation of Price with Load.- 6.2.1 Expanded Price Process Models.- 6.2.2 Test for Mean Reversion.- 6.2.3 Price Prediction Algorithms.- 6.3 Correlation of Load with Date.- 6.4 Correlation of Load with Temperature.- 6.4.1 Overview of Linear Regression Analysis.- 6.4.2 Application of Regression to Temperature/Load Data.- 6.4.3 Conclusions of Regression Analysis for Load vs. Temperature.- 6.5 Effects of Variance of Load Estimation.- 7 Computational Complexity of Unit Commitment.- 7.1 Dynamic Programming Algorithm.- 7.2 Heuristic Simplifications.- 7.3 Ordinal Optimization.- 7.3.1 Overview of Ordinal Optimization.- 7.3.2 Application to Unit Commitment.- 7.4 Example.- 7.4.1 Solution by Dynamic Programming.- 7.4.2 Solution by Ordinal Optimization.- 8 Forward Contracts and Futures.- 8.1 Forward Contracts.- 8.2 Producer Profits with Forward Contracts.- 8.3 Forward Contract Strategies.- 8.3.1 One Hour Forward Contracts.- 8.3.2 Multi-Hour Forward Contract.- 8.3.3 Example.- 8.4 Temporal Forward Contract Problem.- 9 Reserve Markets for Power System Reliability.- 9.1 General Form of a Reserve Market.- 9.1.1 Payment for Power Delivered.- 9.1.2 Payment for Reserve Allocated.- 9.1.3 Price Process for Reserve Price.- 9.2 Individual Power Producer Strategies for Selling Reserve.- 9.2.1 Payment for Power Delivered.- 9.2.2 Payment for Reserve Allocated.- 9.3 Provision of Reserve for Transactions.- 9.4 Effect of Reserve Market on Unit Commitment.- 9.5 Example.- 10 Unit Commitment in Congested Transmission Systems.- 10.1 Probabilistic Model of Congestion.- 10.1.1 Modifications to Price Model.- 10.1.2 Congestion Model with Limits.- 10.2 Producer Strategy under Congestion.- 10.3 Example.- 10.4 Solution of Unit Commitment under Congestion and Reserve.- 11 Conclusions.- A Calculation of Parameters for Price Processes.- A.1 Exponential of a Normally Distributed Variable.- A.2 Nonlinear Least Squares Regression.- A.3 Recursive Least Squares Algorithm.- B Results of Regression of Load vs. Temperature.- B.1 Regression on Same Day High Temperature.- B.2 Regression using Previous Day’s High Temperature.- C Derivation of Formulas for Truncated Random Variables.- C.1 Truncated Normal Distributions.- C.2 Truncated Lognormal Distributions.- D Software for Unit Commitment.- D.1 Dynamic Programming Software.- D.2 Ordinal Optimization Software.- D.3 Reserve and Congestion DP Software.- D.4 Source Code for uci2. c.- D.5 Source Code for ucool. c.- D.6 Source Code for uci2rs. c.- D.7 Source Code for uci2con. c.- D.8 Source Code for ucerr.h.- D.9 Source Code for ucerroo. h.- E Stochastic Unit Commitment in a Regulated Industry.- E.1 Unit Commitment with a Finite Horizon.- E.2 Solution of Optimal Power Flow.- E.2.1 Uncongested, Lossless Optimal Power Flow without Generation Limits.- E.3 Expected Value of the Generation Cost.- E.3.1 Expected Cost over Load Power.- E.3.2 Expected Cost over Generation Failures.