Description |
1 online resource (281 p.) |
Contents |
Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- Part 1: Fundamentals and Technologies -- 1. Architectures and Technologies for DC Microgrid -- 1. Introduction -- 2. Architecture of DC microgrid -- 3. Power electronics for the DC microgrid -- 4. Control and communication for the DC microgrid -- 5. Summary -- References -- 2. Internet-of-Things-Based Communication in Microgrids -- 1. Introduction -- 2. IoT communication in microgrids -- 3. Challenges and limitations of IoT communication in microgrids -- 4. Strategies to mitigate IoT communication barriers in microgrids |
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5. Advanced technological integration in microgrid IoT communication -- 6. Summary -- References -- 3. Blockchain Technology for DC Microgrids -- 1. Introduction -- 2. Blockchain technology -- 3. Use cases of blockchain technology in DC-microgrid systems -- 4. Future of blockchain technology in DC-microgrid systems -- 5. Case studies of blockchain technology in DC-microgrid systems -- 6. Challenges and limitations of integrating blockchain technology on DC-microgrids -- 7. Summary -- References -- 4. Digital Twin Framework for Monitoring, Controlling and Diagnosis of Photovoltaic DC Microgrids |
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1. Introduction -- 2. DT framework for photovoltaic DC microgrids -- 3. PV modeling -- 4. The role of the converter -- 5. Supervisory control and management -- 6. Challenges in implementing digital twins for PV microgrids -- 7. Conclusions -- References -- 5. From Microgrids to Virtual Power Plants: A Cybersecurity Perspective -- 1. Introduction -- 2. Related works -- 3. From microgrids to virtual power plant -- 4. The fading of network perimeter and novel cybersecurity issues -- 5. A framework for cybersecurity monitoring -- 6. Conclusions -- References |
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6. An Overview of Artificial Intelligence Driven Li-Ion Battery State Estimation -- 1. Introduction -- 2. Literature review -- 3. The Battery Management System (BMS) -- 4. AI piloted battery state estimation -- 5. Discussion -- 6. Conclusion -- References -- 7. Addressing Societal Challenges and Enhancing Academic Effectiveness through Challenge-Driven Education: A Case Study in Smart Microgrid -- 1. Introduction -- 2. Background -- 3. Methods -- 4. Results -- 5. Discussions -- 6. Harnessing the potential of CDE approach -- 7. Conclusion -- References -- Part 2: Design and Optimization |
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8. Development and Evolution of Hybrid Microgrids in the Context of Contemporary Applications -- 1. Introduction -- 2. Energy demand analysis -- 3. Energy sources for hybrid microgrids -- 4. Mathematical modelling of selected resources -- 5. Objectives parameters -- 6. Case studies -- 7. Conclusion -- References -- 9. Formal Methods for Microgrids -- 1. Introduction -- 2. Microgrids -- 3. Formal methods techniques -- 4. Optimizing microgrids with cloud technologies: Ensuring safety and reliability through formal methods |
Summary |
Smart-grid is the new generation of the power gird that has been advocated to increase the reliability of the grid and to reduce carbon footprint by integrating distributed resources. Microgrid technology allows for the integration of renewables energies. Microgrids are either AC or DC |
Notes |
Description based upon print version of record |
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5. Enhancing microgrid performance with fog technologies and formal methods |
Form |
Electronic book
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Author |
Spagnuolo, Giovanni
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Tenhunen, Hannu
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ISBN |
9781040222997 |
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1040222994 |
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