IoT Enabled-DC Microgrids: Architecture, Algorithms, Applications, and Technologies

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
		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
		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
	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
	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
		5. Enhancing microgrid performance with fog technologies and formal methods
		6. Ensuring safety and reliability of microgrids with IoT and formal methods
		7. AI and ML for microgrids: Ensuring safety and reliability with formal methods
		8. Formal methods for security aspects
		9. Blockchain-based microgrids: The role of formal methods
		10. Challenges and open issues
		11. Future directions and recommendations
		12. Conclusion
		References
	10. Direct Current Microgrids: A Business Model Perspective
		1. Introduction
		2. Drivers of the energy transition
		3. Business models
		4. Examples of DC Microgrids
		5. Future perspectives
		6. Conclusion
		References
Index