IMPACT STUDY OF SOLAR ENERGY ON POWER SYSTEM STATE ESTIMATION UTILIZING WEIGHTED LEAST SQUARE TECHNIQUE
Last updated: 03 Jan 2025
10.21608/auej.2024.247289.1463
Weighted least square WLS, State estimation SE, Simulated annealing algorithm SA, Energy management system EMS, Photovoltaic PV
Zahraa
Hamed
Esmaiel
Electrical Power& Machines Department, Faculty of Engineering, Al-Azhar University, Nasr City, 11884, Cairo, Egypt
zahraaesmaiel95@gmail.com
https://orcid.org/00
Hassan
Mohamed
S.
Electrical Power& Machines Department, Faculty of Engineering, Al-Azhar University, Nasr City, 11884, Cairo, Egypt
Ibrahim
Nassar
Electrical Power& Machines Department, Faculty of Engineering, Al-Azhar University, Nasr City, 11884, Cairo, Egypt
ibrahim.nassar@azhar.edu.eg
0000-0001-9196-5331
19
72
49551
2024-07-01
2023-11-08
2024-07-01
212
233
1687-8418
3009-7622
https://jaes.journals.ekb.eg/article_370649.html
https://jaes.journals.ekb.eg/service?article_code=370649
370,649
Original Article
706
Journal
Journal of Al-Azhar University Engineering Sector
https://jaes.journals.ekb.eg/
IMPACT STUDY OF SOLAR ENERGY ON POWER SYSTEM STATE ESTIMATION UTILIZING WEIGHTED LEAST SQUARE TECHNIQUE
Details
Type
Article
Created At
24 Dec 2024