Novel Highly Flexible Modular Power Electronics for Energy Storage and Conversion Systems

£159.50

Novel Highly Flexible Modular Power Electronics for Energy Storage and Conversion Systems

Electrochemistry and magnetochemistry Engineering applications of electronic, magnetic, optical materials Electrical engineering Energy, power generation, distribution and storage

Author: Nima Tashakor

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Collection: Green Energy and Technology

Language: English

Published by: Springer

Published on: 4th September 2023

Format: LCP-protected ePub

ISBN: 9783031368431


Book Description

This book describes improvements to the electronics topology of current modular reconfigurable storages by integrating parallel connectivity, reducing the semiconductor count by eliminating irrelevant states, and improving the monitoring techniques through higher function integration. The author also discusses each topology's main advantages and disadvantages at the micro and macro levels. Moreover, the presented modeling of modular reconfigurable storage systems with different storages helps in better understanding the dynamics of the system.

Methods and Techniques

The book establishes novel optimum or near-optimum methods for exploiting the DOF (degrees of freedom) to achieve higher efficiency, more function integration, better balancing, or output quality. Additionally, through a detailed analysis of different modulation techniques, this book presents novel modulation methods, enhances the state-of-the-art, or in some cases, simplifies the complexity of implementation.

System Integration and Benefits

The concept of interconnected multi-port systems through integrating novel modulation techniques and the acquired understanding of the behavior of modular dynamically reconfigurable storages is explained. The presented concepts can significantly reduce the number of energy conversion stages as well as the final footprint of the system, reduce the number of required controlled semiconductors, and save costs. It also presents novel monitoring techniques based on estimators that can significantly reduce the number of required sensors and the required data-communication bandwidth.

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