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

by Salah Bahramara, Pouria Sheikhahmadi, Gianfranco Chicco

Overview

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

Product Details

ISBN-13:	9780443313233
Publisher:	Elsevier Science
Publication date:	06/27/2025
Sold by:	Barnes & Noble
Format:	eBook
Pages:	225
File size:	10 MB

About the Author

Salah Bahramara is currently an Assistant Professor in Electrical Engineering at Islamic Azad University, Sanandaj Branch, Sanandaj, Iran. His research interests include flexibility in power systems, distributed energy resources, microgrids, optimization problems.Pouria Sheikhahmadi currently works at the Kurdistan Electricity Power Distribution Company (KEPDC), and as a Research Assistant at the University of Kurdistan, Iran. His research interests include electricity markets, active distribution networks, microgrids, and bi-level optimization. He received his M.Sc. degree from the University of Kurdistan, Iran in 2018.Gianfranco Chicco is a Professor of Electrical Energy Systems at Politecnico di Torino, Italy. He received the title of Doctor Honoris Causa from the Universities Politehnica of Bucharest and "Gheorghe Asachi of Iasi (Romania) in 2017 and 2018 respectively. He is the Chair of the IEEE R8 Italy Section. He is the Editor-in-Chief of Sustainable Energy Grids and Networks and a Subject Editor of Energy. He was the Conference Chair of WESC 2006, IEEE PES ISGT Europe 2017, UPEC 2020, and Co-Chair of IEEE Eurocon 2023. 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.
Gianfranco Chicco is a Professor of Electrical Energy Systems at Politecnico di Torino, Italy. He received the title of Doctor Honoris Causa from the Universities Politehnica of Bucharest and “Gheorghe Asachi” of Iasi (Romania) in 2017 and 2018 respectively. He is the Chair of the IEEE R8 Italy Section. He is the Editor-in-Chief of Sustainable Energy Grids and Networks and a Subject Editor of Energy. He was the Conference Chair of WESC 2006, IEEE PES ISGT Europe 2017, UPEC 2020, and Co-Chair of IEEE Eurocon 2023. 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.

Table of Contents

1. Introduction to electrical system operation with distributed energy resources, aggregators, grid services, and flexibility2. Modeling and optimization methods to provide grid services and flexibility with distributed energy resources3. Grid services and flexibility requirements of Transmission and Distribution System Operators4. Modeling the distributed energy resource aggregator as a price-taker to provide flexibility for the Transmission System Operator5. Modeling the distributed energy resource aggregator as a price-maker6. Modeling the distributed energy resource aggregator to provide grid services and flexibility for the Distribution System Operator through bilateral contracts7. Modeling the local energy market in the presence of distributed energy resources8. Modeling the decision-making problem of the distributed energy resource aggregator to participate in the local energy market9. Modeling the distributed energy resource aggregators for providing grid services and flexibility considering Transmission System Operator-Distribution System Operator coordination10. Prospects of providing grid services and flexibility through distributed energy resources

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From the Publisher

An essential guidebook to modeling approaches for integrating distributed energy resources into the flexible, sustainable modern power grid