Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning Giorgio Graditi – Ebook Instant Download/Delivery ISBN(s): 9780128238998,0128238992
Product details:
• ISBN 10:0128238992
• ISBN 13:9780128238998
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Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning reviews research and policy developments surrounding the optimal operation and planning of DER in the context of local integrated energy systems in the presence of multiple energy carriers, vectors and multi-objective requirements. This assessment is carried out by analyzing impacts and benefits at local levels, and in distribution networks and larger systems. These frameworks represent valid tools to provide support in the decision-making process for DER operation and planning. Uncertainties of RES generation and loads in optimal DER scheduling are addressed, along with energy trading and blockchain technologies.
Table contents:
Chapter 1. Overview of distributed energy resources in the context of local integrated energy systems
Chapter 2. Architectures and concepts for smart decentralised energy systems
Chapter 3. Modeling of multienergy carriers dependencies in smart local networks with distributed energy resources
Chapter 4. Multiobjective operation optimization of DER for short- and long-run sustainability of local integrated energy systems
Chapter 5. Impact of neighborhood energy trading and renewable energy communities on the operation and planning of distribution networks
Chapter 6. Fostering DER integration in the electricity markets
Chapter 7. Challenges and directions for Blockchain technology applied to Demand Response and Vehicle-to-Grid scenarios
Chapter 8. Optimal management of energy storage systems integrated in nanogrids for virtual “nonsumer” community
Chapter 9. Demand response role for enhancing the flexibility of local energy systems
Chapter 10. The integration of electric vehicles in smart distribution grids with other distributed resources
Chapter 11. Assessing renewables uncertainties in the short-term (day-ahead) scheduling of DER
Chapter 12. Load forecasting in the short-term scheduling of DERs
Chapter 13. Conclusions and key findings of optimal operation an
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