High penetration of renewable energy sources (RESs) imposes several techno-economic challenges to distribution system operators (DSOs) due to their variability in power generation and, hence, increases the need for additional operational flexibility. Operational flexibility aims at securely covering the possible variations at the minimum cost using emerging flexible alternatives or designing novel local market mechanisms to incentivize flexibility providers. In such a situation, the DSOs can use the potential of flexible options such as energy storages (ESs), demand response (DR), plug-in electric vehicles (PEVs), or on-site fast run generators. However, each of the mentioned flexible resources has its own specific characteristics and requirements that should be taken into account, and this raises the complexity. Optimal network reconfiguration schemes are the other solution for increasing power system flexibility at the distribution level.
There is a great research gap related to renewable-based distribution network planning from a flexibility point of view. Therefore, this book aims to discuss the additional flexibility needs introduced by RESs and describe general approaches to analyze the need for and provision of additional flexibility in future distribution networks at both the planning and operational time frames.
This book successfully suggests new solutions and techniques to increase the flexibility in distribution systems. It also highlights the needs for moving towards smart distribution grids in order to enhance the flexibility in modern and future power systems.
| Acknowledgment |
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| Preface |
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| About the Editor |
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xi | |
| Contributors |
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xiii | |
| Introduction |
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Chapter 1 Social and Economic Factors in Demand-Side Flexibility |
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Chapter 2 Role of Smart Homes and Smart Communities in Flexibility Provision |
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21 | (20) |
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Chapter 3 A System-of-Systems Planning Platform for Enabling Flexibility Provision at Distribution Level |
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Chapter 4 Application of Regression Tools for Load Prediction in Distributed Network for Flexible Analysis |
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67 | (28) |
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Chapter 5 Effective Strategies of Flexibility in Modern Distribution Systems: Reconfiguration, Renewable Sources and Plug-in Electric Vehicles |
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Chapter 6 Resource-Driven Flexibility Planning of Active Distribution Network |
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Chapter 7 Distribution Network Emergency Operation in the Light of Flexibility |
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Chapter 8 Three-Layer Aggregator Solutions to Facilitate Distribution System Flexibility |
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Chapter 9 Decongestion of Active Distribution Grids via D-PMUs-based Reactive Power Control and Electric Vehicle Chargers |
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207 | (26) |
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Mario R. Arrieta Paternina |
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Juan R. Rodriguez-Rodriguez |
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Chapter 10 Blockchain-based Decentralized, Flexible, and Transparent Energy Market |
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Chapter 11 Integrated Operation and Planning Model of Renewable Energy Sources with Flexible Devices in Active Distribution Networks |
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255 | (32) |
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Chapter 12 Network-Driven Flexibility Planning of Active Distribution Network |
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287 | (12) |
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Chapter 13 Optimization Techniques for Reconfiguration of Energy Distribution System |
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299 | (48) |
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Chapter 14 Application of A Mathematical Programming Language (AMPL) in Distribution Network |
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347 | (52) |
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| Index |
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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.
