Renewable Energy Integration for Bulk Power Systems

ERCOT and the Texas Interconnection
 Paperback

85,59 €*

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ISBN-13:
9783031286414
Veröffentl:
2024
Einband:
Paperback
Erscheinungsdatum:
14.05.2024
Seiten:
300
Autor:
Pengwei Du
Gewicht:
458 g
Format:
235x155x17 mm
Serie:
Power Electronics and Power Systems
Sprache:
Englisch
Beschreibung:

Renewable Energy Integration for Bulk Power Systems: ERCOT and the Texas Interconnection looks at the practices and changes introduced in the Texas electric grid to facilitate renewable energy integration. It offers an informed perspective on solutions that have been successfully demonstrated, tested, and validated by the Electric Reliability Council of Texas (ERCOT) to meet the key challenges which engineers face in integrating increased levels of renewable resources into existing electric grids while maintaining reliability. Coverage includes renewable forecasting, ancillary services, and grid and market operations. Proved methods and their particular use scenarios, including wind, solar, and other resources like batteries and demand response, are also covered. The book focuses on a real-world context that will help practicing engineers, utility providers, and researchers understand the practical considerations for developing renewable integration solutions and inspire the future development of more innovative strategies and theoretical underpinnings.
Chapter 1 Renewable Integration at ERCOT.- Chapter 2 Overview of Market Operation at ERCOT.- Chapter 3 Market Designs to Integrate Renewable Resources.- Chapter 4 Ancillary Services (AS) at ERCOT.- Chapter 5 Design of New Primary Frequency Control Market for Hosting Frequency Response Reserve Offers from both Generators and Loads.- Chapter 6 New Ancillary Service Market for ERCOT - Fast Frequency Response (FFR).- Chapter 7 System Inertia Trend and Critical Inertia.- Chapter 8 Multiple-Period Reactive Power Coordination for Renewable Integration.- Chapter 9 Renewable Forecast.- Chapter 10 Ensemble Machine Learning Based Wind Forecasting to Combine NWP Output with Data from Weather Stations.

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