Renewable Energy Integration: Practical Management of Variability, Uncertainty and Flexibility in Power Grids

Renewable Energy Integration is a ground-breaking new resource, the first to offer a distilled examination of the intricacies of integrating renewables into power grid and electricity markets. It offers informed perspectives from internationally renowned experts on the challenges to be met, and solutions based on demonstrated best practices developed by operators around the world. The book's focus on practical implementation of strategies provides real-world context for theoretical underpinnings and the development of supporting policy frameworks. The book considers a myriad of wind, solar, wave and tidal integration issues, thus ensuring that grid operators with low or high penetration of renewable generation can leverage the victories achieved by their peers. Renewable Energy Integration highlights, carefully explains, and illustrates the benefits of advanced technologies and systems for coping with variability, uncertainty, and flexibility. Lays out the key issues around the integration of renewables into power grids and markets, from the intricacies of operational and planning considerations, to supporting regulatory and policy frameworks Provides global case studies that highlight the challenges of renewables integration and present field-tested solutions Illustrates enabling and disruptive technologies to support the management of variability, uncertainty and flexibility INDICE: Ch 1. The Journey of Reinventing the European Electricity Landscape - Challenges and Pioneers Ch 2. Policies for Accommodating Higher Penetration of Variable Energy Resources (VER's) Ch 3. Harnessing and Integrating Africa's Renewable Energy Resources Ch 4. Challenges and Opportunities of Multi-Dimensional, Multi-Scale Modeling and Algorithms for Integrating Variable Energy Resources in Power Networks Ch 5. Integrating Renewables in Nordic Electricity Market Ch 6. Case Study of Renewable Integration - Cal ISO USA Ch 7. Impact of Variable Generation on Power System Reserve Ch 8. Advances in Market Management Solutions for Variable Energy Resources  Integration Ch 9. Case Study: Reserve Management for Integrating Variable Generation in Electricity Markets Ch 10. Case Study: Grid and Market Integration of Wind Generation in Tamil Nadu, India Ch 11. Forecasting Renewable Energy for Grid Operations Ch 12. Probabilistic Wind and Solar Power Predictions Ch 13. Incorporating Forecast Uncertainty in Utility Control Centers Ch 14. Global Power Grids for Harnessing World Renewable Energy  Ch 15. Transmission Grids for Integrating On - and Offshore Variable Generation Resources Ch 16. Case Study: Integration of Renewables - Indian Experience Ch 17. Long Term Energy Systems Planning: Accounting for Short Term Variability and Flexibility Ch 18. The Danish Case: Taking Advantage of Flexible Power in an Energy System with High Wind Penetration Ch 19. Analyzing Power System Flexibility Ch 20. Demand Response for Integrating Variable Renewable Energy: A Northwest Perspective  Ch 21. Case Study: Demand Response and Alternative Technologies in Electricity Markets  Ch 22. The Implications of Distributed Energy Resources on Traditional Utility Business Model Ch 23. Case Study: Application of Energy Storage for Renewable Integration   Ch 24. Renewables Integration on Islands Ch 25. Case Study: Intentional Islanding with Synchronous-Machine-Based Renewables Ch 26. Connecting Large Scale Solar to Power Grid Ch 27. State-of-the Art and Future Outlook of Integrating Wave and Tidal Energy Ch 28. Case Study: Integration of Renewables in Germany Ch 29. Control of Power Systems with High Penetration Variable Generation Ch 30. Enhancing Situation Awareness in Power Systems Under Uncertainty Ch 31. Case Study: Managing Operational Uncertainty through Improve Visualization Tools in Control Centers Ch 32. Applications of Dynamic Line Rating to Integrating Renewable Energy Ch 33. PMU and WAMS Application to Renewables Integration Ch 34. Every Moment Counts: Synchrophasors for Distribution Networks with Variable Resources Ch 35. Big Data, Data Mining, and Predictive Analytics and High Performance Computing

• ISBN: 978-0-12-407910-6
• Editorial: Academic Press
• Encuadernacion: Cartoné
• Páginas: 352
• Fecha Publicación: 14/07/2014
• Nº Volúmenes: 1
• Idioma: Inglés