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

Bahramara, Salah; Sheikhahmadi, Pouria; Chicco, Gianfranco

Brossura

ISBN 10: 0443313229 ISBN 13: 9780443313226

Casa editrice: Elsevier - Health Sciences Division, 2025

Riassunto

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. The book opens by introducing basic principles and challenges of modern energy systems and the role of DERs in resolving issues, 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 condition, dual theory approaches, and bilateral contacts, TSO-DSO cooperation, and decision-making tools. With a practical, holistic approach, this book supports graduate students, researchers, and industry engineers in energy systems modeling to design sustainable power grids for the future.

Su questo libro

Informazioni sugli autori

Salah Bahramara is currently an Assistant Professor in Department of Electrical Engineering,
Sa.C., Islamic Azad University, Sanandaj, Iran. His research interests include flexibility in power
systems, distributed energy resources, microgrids, and optimization problems.

Pouria Sheikhahmadi currently works at Kurdistan Electricity Distribution Company (KEDC),
Sanandaj, Iran. His research interests include electricity markets, active distribution networks, microgrids, and bi-level optimization.

Gianfranco Chicco is a Professor of Electrical Energy Systems at Politecnico di Torino, Italy. His
research activities include power system analysis, distribution system analysis and optimization, electrical load management, energy efficiency and environmental impact of multi-energy systems,
data analytics applied to power and energy systems, and power quality.

Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Elsevier - Health Sciences Division
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 0443313229
• ISBN 13: 9780443313226
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 274
• Contatto del produttore: ELSEVIER; https://www.elsevier.com/es-es; ; Mooswaldallee 6; Freiburg; 79108; Germania