
Distribution System Modeling with Distributed Energy Resources
Local Energy Markets, Aggregators, Grid Services, and Flexibility
Elsevier (Publisher)
Published on 18. July 2025
Book
Paperback/Softback
274 pages
978-0-443-31322-6 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 15 mm
Weight
374 gr
ISBN-13
978-0-443-31322-6 (9780443313226)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Salah Bahramara | Pouria Sheikhahmadi | Gianfranco Chicco
Distribution System Modeling with Distributed Energy Resources
Local Energy Markets, Aggregators, Grid Services, and Flexibility
E-Book
06/2025
Elsevier
€172.99
Available for download
Persons
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.
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.
Author
Assistant Professor in Electrical Engineering, Islamic Azad University, Iran
Research Assistant, University of Kurdistan, Iran
Professor, Electrical Energy Systems, Politecnico di Torino, Italy
Content
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
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