书目名称 | Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence |
编辑 | Amal M. Abd El- Hameid,Adel A. Elbaset,Montaser Ab |
视频video | http://file.papertrans.cn/312/311268/311268.mp4 |
概述 | Covers developments to enhance the integration of renewable energy sources.Presents simulation results, including standard IEEE bus test systems.Includes MATLAB M-file codes |
图书封面 |  |
描述 | .Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence. presents methods for monitoring transmission systems and enhancing distribution system performance using modern optimization techniques considering different multi-objective functions such as voltage loss sensitivity indexes, reducing total annual cost, and voltage deviation. The authors offer a comprehensive survey of distributed energy resources (DERs), explain the backward/forward sweep (BFS) power flow algorithm, and present simulation results on the optimal integration of photovoltaic-based distributed generators (PV-DG) and distribution static synchronous compensators (DSTATCOM) in different transmission and distribution systems. This book will be a valuable academic and industry resource for electrical engineers, students, and researchers working on optimization techniques, photovoltaic systems, energy engineering, and artificial intelligence. |
出版日期 | Book 2023 |
关键词 | Optimization techniques; Power system monitoring; Photovoltaics; Distributed generation; Distributed sta |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-29692-5 |
isbn_softcover | 978-3-031-29694-9 |
isbn_ebook | 978-3-031-29692-5 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |