This book discusses the additional flexibility needs introduced by renewable energy sources (RESs) and describe general approaches to analyze the need for and provision of additional flexibility in future distribution networks at both planning and operational time frames.
This book discusses the additional flexibility needs introduced by renewable energy sources (RESs) and describe general approaches to analyze the need for and provision of additional flexibility in future distribution networks at both planning and operational time frames.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hassan Haes Alhelou is a faculty member at Tisheen University, Lattakia, Syria. His major research interests are Power systems, Power system dynamics, Power system operation and control, Dynamic state estimation, Frequency control, Smart grids, Micro-grids, Demand response, Load shedding, and Power system protection. Ehsan Heydarian-Forushani currently working in Esfahan Electricity Power Distribution Company (EEPDC). His research interests include power system flexibility, renewables integration, demand response, smart grids, and electricity market. Pierluigi Siano is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno. He has been the Chair of the IES TC on Smart Grids. He received the award as 2019&2020 Highly cited Researcher by ISI WoS Group.
Inhaltsangabe
1. Social and Economic Factors in Demand-Side Flexibility. 2. Role of Smart Homes and Smart Communities in Flexibility Provision. 3. A System-of-Systems Planning Platform for Enabling Flexibility Provision at Distribution Level. 4. Application of Regression Tools for Load Prediction in Distributed Network for Flexible Analysis. 5. Effective Strategies of Flexibility in Modern Distribution Systems. 6. Resource-Driven Flexibility Planning of Active Distribution Network. 7. Distribution Network Emergency Operation in The Light of Flexibility. 8. Three-Layer Aggregator Solutions to Facilitate Distribution System Flexibility. 9. Decongestion of Active Distribution Grids via D-PMUs-based Reactive Power Control and Electric Vehicle Chargers. 10. Blockchain-based Decentralized, Flexible, and Transparent Energy Market. 11. Integrated Operation and Planning Model of Renewable Energy Sources with Flexible Devices in Active Distribution Networks. 12. Network-Driven Flexibility Planning of Active Distribution Network. 13. Optimization Techniques for Reconfiguration of Energy Distribution System. 14. Application of AMPL (A Mathematical Programming Language) in Distribution Network Reconfiguration Problem.
1. Social and Economic Factors in Demand-Side Flexibility. 2. Role of Smart Homes and Smart Communities in Flexibility Provision. 3. A System-of-Systems Planning Platform for Enabling Flexibility Provision at Distribution Level. 4. Application of Regression Tools for Load Prediction in Distributed Network for Flexible Analysis. 5. Effective Strategies of Flexibility in Modern Distribution Systems. 6. Resource-Driven Flexibility Planning of Active Distribution Network. 7. Distribution Network Emergency Operation in The Light of Flexibility. 8. Three-Layer Aggregator Solutions to Facilitate Distribution System Flexibility. 9. Decongestion of Active Distribution Grids via D-PMUs-based Reactive Power Control and Electric Vehicle Chargers. 10. Blockchain-based Decentralized, Flexible, and Transparent Energy Market. 11. Integrated Operation and Planning Model of Renewable Energy Sources with Flexible Devices in Active Distribution Networks. 12. Network-Driven Flexibility Planning of Active Distribution Network. 13. Optimization Techniques for Reconfiguration of Energy Distribution System. 14. Application of AMPL (A Mathematical Programming Language) in Distribution Network Reconfiguration Problem.
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