A new real-time maximum power point tracking scheme for PV-BASED microgrid STABILITY using online DEEP ridge extreme learning machine algorithm
A new deep representation-based Maximum Power Point Tracking (MPPT) controller is proposed in this paper for accurate Control references calculation in Photovoltaic (PV) based Micro Grid (MG) operation. The deep representation is obtained by two-step estimation: Data dimension reduction and MPPT Tra...
الحاوية / القاعدة: | Results in Engineering |
---|---|
المؤلف الرئيسي: | Satpathy A.; Nayak N.; Hannon N.; Ali N.H.N. |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Elsevier B.V.
2023
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178233807&doi=10.1016%2fj.rineng.2023.101590&partnerID=40&md5=dc5c3c47da05272cc02e8ec9264ddfe4 |
مواد مشابهة
-
A new real-time maximum power point tracking scheme for PV-BASED microgrid STABILITY using online DEEP ridge extreme learning machine algorithm
بواسطة: 2-s2.0-85178233807
منشور في: (2023) -
HARDWARE DESIGN FOR MAXIMUM POWER POINT TRACKING (MPPT) BASED ON METAHEURISTIC ALGORITHM IN PHOTOVOLTAIC (PV) SYSTEMS
بواسطة: Darjat; Bima S.A.; Evangelista H.E.; Winardi B.; Zahra A.A.; Tahir N.M.
منشور في: (2024) -
Distributed fast maximum power point tracking technique for mismatched module application
بواسطة: 2-s2.0-85020469006
منشور في: (2017) -
A comprehensive review of maximum power point tracking algorithms for photovoltaic systems
بواسطة: 2-s2.0-84902194752
منشور في: (2014) -
Simulation on microgrid connected PV system under balance and unbalance fault
بواسطة: 2-s2.0-85073824175
منشور في: (2019)