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The reference text 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.
It 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.
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The reference text 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.
It 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.