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

Bahramara, Salah; Sheikhahmadi, Pouria; Chicco, Gianfranco

ISBN 10: 0443313229 / ISBN 13: 9780443313226

Verlag: Elsevier, 2025

Bestandsnummer des Verkäufers 26403849798

Inhaltsangabe:

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.

Über die Autorinnen und Autoren: 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.

Bibliografische Details

Titel: Distribution System Modeling with ...
Verlag: Elsevier
Erscheinungsdatum: 2025
Einband: Softcover
Zustand: New