Go to main content
Enhancement of grid-connected photovoltaic systems using artificial intelligence / Amal M. Abd El- Hameid, Adel A. Elbaset, Mohamed Ebeed, Montaser Abdelsattar.
El-Hameid, Amal M. Abd, author.; Elbaset, Adel A., author.; Ebeed, Mohamed, author.; Abdelsattar, Montaser, author.
2023
TK1087
Available Online
Formats
Add to Basket
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Enhancement of grid-connected photovoltaic systems using artificial intelligence / Amal M. Abd El- Hameid, Adel A. Elbaset, Mohamed Ebeed, Montaser Abdelsattar.
Author
El-Hameid, Amal M. Abd, author.
ISBN
9783031296925 (electronic bk.)
3031296923 (electronic bk.)
9783031296918 (print)
3031296915
DOI
https://doi.org/10.1007/978-3-031-29692-5
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (xxiii, 226 pages) : illustrations
Item Number
10.1007/978-3-031-29692-5 doi
Call Number
TK1087
Dewey Decimal Classification
621.31/244
Summary
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. Covers developments to enhance the integration of renewable energy sources; Presents simulation results, including standard IEEE bus test systems; Includes MATLAB M-file codes.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 19, 2023).
Added Author
Elbaset, Adel A., author.
Ebeed, Mohamed, author.
Abdelsattar, Montaser, author.
Available in Other Form
Print version: 9783031296918
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Introduction
Power Quality Issues
Stochastic Optimal Planning of Distribution System Considering Integrated Photovoltaic-Based DG and D-STATCOM
Optimal Allocation of Distributed Energy Resources Using Modern Optimization Techniques
Results and Discussion
Conclusions and Future Work.

Browse Subjects

Statistics

from
to
Export