Feifan Shen, Zhaoxi Liu, Wenshu Jiao, Menglin Zhang, Qiuwei Wu

Optimal Operation of Active Distribution Networks

Congestion Management, Voltage Control and Service Restoration

• Broschiertes Buch

Produktbeschreibung

Optimal Operation of Active Distribution Networks: Congestion Management, Voltage Control and Service Restoration provides researchers and practitioners with a clear and modern understanding of how to optimize the economic, secure and resilient operation of active distribution networks. The book provides case studies, modern implementations and supporting flowcharts and code, along with current research in congestion management, service restoration and voltage control of active distribution networks. Chapter provide an overview of the active distribution network concept, present key approaches for the congestion management of active distribution networks, and cover approaches in uncertainty, coordination of DLMP, scheduled re-profiling, and more. Other sections cover real-time congestion management and service restoration of active distribution networks.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 364
• Erscheinungstermin: 31. August 2023
• Englisch
• Abmessung: 229mm x 152mm
• Gewicht: 590g
• ISBN-13: 9780443190155
• ISBN-10: 0443190151
• Artikelnr.: 67567562

Autorenporträt

Feifan Shen received the B.Eng. degree in Electrical Engineering and Automation from Hohai University, Nanjing, China, in 2015, and the M.Eng. degree from the Department of Electrical Engineering, Wuhan University, Wuhan, China, in 2017, and the joint Ph.D. degree from the Department of Electrical Engineering, Centre of Electric Power and Energy, Technical University of Denmark, Lyngby, Denmark, and the Interdisciplinary graduate school, Nanyang Technological University, Singapore, in 2021. He is currently an assistant professor in the school of electrical and information engineering, Hunan University. His research interests include congestion management and self-healing of distribution networks, wind farm operation and control, and the application of AI in smart grid operation.

Inhaltsangabe

1. Introduction to Active Distribution Networks 2. Distribution locational
marginal pricing for congestion management in distribution networks 3.
Distribution Locational Marginal Pricing for Optimal Electric Vehicle
Charging through Chance Constrained Mixed-Integer Programming 4. Robust
Dynamic Tariff Method for Day-Ahead Congestion Management of Distribution
Networks 5. Comprehensive Congestion Management for Distribution Networks
based on Dynamic Tariff, Reconfiguration and Re-profiling Product 6.
ADMM-based Market Clearing and Optimal Flexibility Bidding of
Distribution-level Flexibility Market for Day-Ahead Congestion Management
of Distribution Networks 7. Two-Tier Demand Response with Flexible Demand
Swap and Transactive Control for Real-Time Congestion Management in
Distribution Networks 8. Distributed Coordinated Voltage Control for
Distribution Networks with DG and OLTC based on MPC and Gradient Projection
9. Double-Time-Scale Distributed Voltage Control for Unbalanced
Distribution Networks Based on MPC and ADMM 10. Distributed Self-healing
Scheme for Unbalanced Electrical Distribution Systems Based on Alternating
Direction Method of Multipliers 11. Distributed Risk-Limiting Load
Restoration in Unbalanced Distribution Systems with Networked Microgrids
12. Hierarchical Service Restoration Scheme for Active Distribution
Networks based on ADMM