Microgrid 4.0 : Sustainable Energy for Resilient Infrastructure

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Microgrid 4.0 : Sustainable Energy for Resilient Infrastructure

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  • 製本 Hardcover:ハードカバー版／ページ数 287 p.
  • 言語 ENG
  • 商品コード 9781032844848

Full Description

The book discusses the latest optimization techniques for Microgrid 4.0, including convex optimization, metaheuristic optimization, and machine learning- based optimization. It covers the latest power electronics technologies for Microgrid 4.0, including DC- DC converters, DC- AC inverters, and solid- state transformers.

This book:

• Discusses the significance of the Industry 4.0 revolution for enhancing the control and operations of microgrids with an objective of sustainability and resilience.

• Presents the role of renewable energy in microgrids for clean and sustainable energy.

• Covers topics such as advanced control, communication, optimization, power electronics, and energy storage.

• Explains the latest advancements in control techniques for Microgrid 4.0, including hierarchical and decentralized control, model predictive control, and fuzzy logic control.

• Highlights the economic analysis of Microgrid 4.0, including cost-benefit analysis, life cycle assessment, and business models.

This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, environmental engineering, and energy engineering.

Contents

1. Autonomous Microgrid System Using Smart Python Agents. 2. Effects of ESS parameters contributing in frequency contingency support on microgrid frequency stability. 3. A Novel Centralized Control Scheme for Islanded DC Microgrid. 4. Decentralized Control Strategy of Grid Connected DC Microgrid with Energy Storage System. 5. Blockchain-Based Approach for Mitigating Malicious Load Shedding in Microgrids. 6. Resilience Enhancement in Networked Microgrid with Multistage Control Mechanism. 7. Optimization Techniques for Microgrid 4.0. 8. Optimal Energy Management of Smart Grid considering Electric Vehicle. 9. Comparative Power Quality Performance by PV-DSTATCOM, Battery - DSTATCOM and Capacitor - DSTATCOM in Three Phase Distribution Grid. 10. ptimizing Energy Management in Hybrid PV-Wind-Battery Microgrids Using Monte Carlo Techniques. 11. Effect of Distributed Generator in distribution network and in microgrid. 12. Generation of Maximum Power from Solar Energy.