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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.
Smart Metering: Infrastructure, Methodologies, Applications and Challenges combines the fundamentals of smart meters in smart grids with the latest advances and technologies in advanced smart infrastructure. With a strong focus on practical guidance and applications, this book examines the design and implementation of smart meters, as well as cybersecurity and data management challenges. Following an introduction to smart grid architecture, the book details design elements of smart meters to enable them for specific applications such as recording the energy consumption of users, load forecasting, resilience enhancement and energy theft detection. A deep dive into smart meter data analytics is then presented, accompanied by load forecasting methods and their advantages and challenges. Subsequent chapters also discuss outage management, fault identification and other applications of smart meters, including power network connection verifications. This is a comprehensive resource on smart metering and a valuable read to students, researchers and engineers interested in power systems engineering, smart grids, and smart energy technologies.
The comprehensive resource on measuring and improving the strength of power systems with distributed generation and loads. Covering the latest evaluation methods, best practice, case studies, and applications, the book enables researchers to advance the movement towards stable clean power systems.
Demand response (DR) describes controlled changes in the power consumption whose role is to better match the power demand with the supply. This reference, written by an international team of experts from academia and industry, covers the principles, implementation and applications of DR.
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