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Wind Energy in Electricity Markets with High Wind Penetration.

By: Contributor(s): Material type: TextTextPublisher: New York : Nova Science Publishers, Incorporated, 2009Copyright date: ©2009Edition: 1st edDescription: 1 online resource (84 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781613241394
Subject(s): Genre/Form: Additional physical formats: Print version:: Wind Energy in Electricity Markets with High Wind PenetrationDDC classification:
  • 333.793/2
LOC classification:
  • TJ820 -- .U83 2009eb
Online resources:
Contents:
Intro -- WIND ENERGY IN ELECTRICITYMARKETS WITH HIGH WINDPENETRATION -- WIND ENERGY IN ELECTRICITY MARKETS WITH HIGH WIND PENETRATION -- CONTENTS -- PREFACE -- INTRODUCTION -- SHORT TERM WIND POWER PREDICTION -- 2.1. GENERAL BACKGROUND -- 2.2. NUMERICAL WEATHER PREDICTIONS (NWP) -- 2.3. PREDICTION METHODS -- 2.4. EVALUATION OF RESULTS -- 2.5. SIPREÓLICO AS AN EXAMPLE OF A SHORT TERMWIND POWER PREDICTION PROGRAM -- 2.5.1. Introduction -- 2.5.2. Prediction Algorithm -- 2.5.3. Application in Red Eléctrica de España -- 2.5.4. Accuracy of Results -- 2.6. OTHER PREDICTION PROGRAMS -- BIDDING STRATEGIES FOR WIND FARMOWNERS -- 3.1.WIND POWER AND ELECTRICITY MARKETS -- 3.2. BENEFITS OF USING SHORT TERM WIND POWERPREDICTION TOOLS -- 3.3. UNCERTAINTY OF WIND POWER PREDICTIONS -- 3.4. BIDDING WIND POWER UNDER UNCERTAINTY -- 3.4.1. Problem Formulation -- 3.4.2. Study Case -- 3.4.3. Results -- OPTIMAL DISTRIBUTED MANAGEMENT OFWIND POWER -- 4.1. POWER CURTAILMENTS OF WIND POWER PRODUCTION -- 4.2. RATE OF DECREASE FOR NON DISPATCHABLEGENERATION -- 4.3. CALCULATION OF POWER REDUCTION BY THEDELEGATED DISPATCHES. -- 4.4. CLASSIFICATION OF WIND POWER PRODUCERS -- 4.5. OPTIMAL ALLOCATION OF POWER CURTAILMENTSUNDER MARKET RULES -- 4.6.MATHEMATICAL FORMULATION -- 4.7. TEST CASE -- 4.8. EX-POST ANALYSIS. ECONOMIC BALANCE -- CONCLUSION -- REFERENCES.
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Intro -- WIND ENERGY IN ELECTRICITYMARKETS WITH HIGH WINDPENETRATION -- WIND ENERGY IN ELECTRICITY MARKETS WITH HIGH WIND PENETRATION -- CONTENTS -- PREFACE -- INTRODUCTION -- SHORT TERM WIND POWER PREDICTION -- 2.1. GENERAL BACKGROUND -- 2.2. NUMERICAL WEATHER PREDICTIONS (NWP) -- 2.3. PREDICTION METHODS -- 2.4. EVALUATION OF RESULTS -- 2.5. SIPREÓLICO AS AN EXAMPLE OF A SHORT TERMWIND POWER PREDICTION PROGRAM -- 2.5.1. Introduction -- 2.5.2. Prediction Algorithm -- 2.5.3. Application in Red Eléctrica de España -- 2.5.4. Accuracy of Results -- 2.6. OTHER PREDICTION PROGRAMS -- BIDDING STRATEGIES FOR WIND FARMOWNERS -- 3.1.WIND POWER AND ELECTRICITY MARKETS -- 3.2. BENEFITS OF USING SHORT TERM WIND POWERPREDICTION TOOLS -- 3.3. UNCERTAINTY OF WIND POWER PREDICTIONS -- 3.4. BIDDING WIND POWER UNDER UNCERTAINTY -- 3.4.1. Problem Formulation -- 3.4.2. Study Case -- 3.4.3. Results -- OPTIMAL DISTRIBUTED MANAGEMENT OFWIND POWER -- 4.1. POWER CURTAILMENTS OF WIND POWER PRODUCTION -- 4.2. RATE OF DECREASE FOR NON DISPATCHABLEGENERATION -- 4.3. CALCULATION OF POWER REDUCTION BY THEDELEGATED DISPATCHES. -- 4.4. CLASSIFICATION OF WIND POWER PRODUCERS -- 4.5. OPTIMAL ALLOCATION OF POWER CURTAILMENTSUNDER MARKET RULES -- 4.6.MATHEMATICAL FORMULATION -- 4.7. TEST CASE -- 4.8. EX-POST ANALYSIS. ECONOMIC BALANCE -- CONCLUSION -- REFERENCES.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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