Название: Artificial Intelligence for Smarter Power Systems: Fuzzy logic and neural networksАвтор: Marcelo Godoy Simoes
Издательство: The Institution of Engineering and Technology
Год: 2021
Страниц: 274
Язык: английский
Формат: True EPUB
Размер: 10.1 MB
The urgent need to reduce carbon emissions is leading to growing use of renewable electricity, particularly from wind and photovoltaics. However, the intermittent nature of these power sources presents challenges to power systems, which need to ensure high and consistent power quality. Going forward, power systems also need to be able to respond to changes in loads, for example from EV charging. Neither production nor load changes can be predicted precisely, and so there is a degree of uncertainty or fuzziness. One way to meet these challenges is to use a kind of Artificial Intelligence - fuzzy logic.
Fuzzy logic uses variables that may be any real number between 0 and 1, rather than either 0 or 1. It has obvious advantages when used for optimization of alternative and renewable energy systems. The parametric fuzzy algorithm is inherently adaptive because the coefficients can be altered to accommodate requirements and data availability.
It is my pleasure and privilege to write a Foreword for this important book on artificial intelligence (AI) techniques, and their applications in power electronics and power systems. It is well known that the AI techniques, particularly fuzzy logic and neural networks, have already established tremendous importance in power electronics and power systems, among many other industrial and nonindustrial applications. Particularly, their applications are very promising in the emerging next generation of smart grid and renewable energy systems. Again, among all the AI disciplines, it is expected that neural networks will have a maximum impact on power electronics and power systems. The area of power electronics, particularly, is very complex and multidisciplinary. The advancing frontier of power electronics with the AI technology will be challenging to the power electronics engineers. The book is authored by Prof. Marcelo Simoes, who is a world-renowned scientist in AI area.
This book focuses on the use of fuzzy logic and neural networks to control power grids and adapt them to changing requirements. Chapters cover fuzzy inference, fuzzy logic-based control, feedback and feedforward neural networks, competitive and associate neural networks, and applications of fuzzy logic, deep learning and Big Data in power electronics and systems.
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