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Distribution System Modeling with Distributed Energy Resources: Local Energy Markets, Aggregators, Grid Services, and Flexibility

Autor Salah Bahramara, Pouria Sheikhahmadi, Gianfranco Chicco
en Limba Engleză Paperback – iun 2025
Distribution System Modeling with Distributed Energy Resources: Local Energy Markets, Aggregators, Grid Services, and Flexibility utilizes a wide range of modeling approaches to support DER integration into the energy grid. This book opens by introducing basic principles and challenges of modern energy systems and the role of DERs in resolving these, as well as regulatory considerations and frameworks across a variety of distributions. It goes on to demonstrate and evaluate mathematical modeling and optimizing methods including robust and adaptive robust methods, the two-stage stochastic method, and bi-level optimization approaches. This theory is then applied to a range of test-cases which use the DER aggregator as either price-maker or price-taker, apply Karush-Kahn-Tucker and dual theory approaches, and explore bilateral contacts, TSO-DSO cooperation, and decision-making tools. With a practical, holistic approach, ‘Distribution System Modeling with Distributed Energy Resources’ supports graduate students, researchers, and industry engineers in energy systems modeling to design sustainable power grids for the future.

  • Combines theoretical and practical perspectives
  • Includes plenty of case studies and examples to illustrate principles
  • Provides tools and modeling methods for practical decision-making
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Specificații

ISBN-13: 9780443313226
ISBN-10: 0443313229
Pagini: 225
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE

Cuprins

1. Introduction to electrical system operation with distributed energy resources, aggregators, grid services, and flexibility
2. Modeling and optimization methods to provide grid services and flexibility with distributed energy resources
3. Grid services and flexibility requirements of Transmission and Distribution System Operators
4. Modeling the distributed energy resource aggregator as a price-taker to provide flexibility for the Transmission System Operator
5. Modeling the distributed energy resource aggregator as a price-maker
6. Modeling the distributed energy resource aggregator to provide grid services and flexibility for the Distribution System Operator through bilateral contracts
7. Modeling the local energy market in the presence of distributed energy resources
8. Modeling the decision-making problem of the distributed energy resource aggregator to participate in the local energy market
9. Modeling the distributed energy resource aggregators for providing grid services and flexibility considering Transmission System Operator-Distribution System Operator coordination
10. Prospects of providing grid services and flexibility through distributed energy resources