Power prediction mode technique for Hill Climbing Search algorithm to reach the maximum power point tracking

• Main Authors: Badawi, Ahmed Samir, Hasbullah, Nurul Fadzlin, Yusoff, Siti Hajar, Hassan Abdalla Hashim, Aisha, Khan, Sheroz, Zyoud, Alhareth Mohammed
• Format: Proceeding Paper
• Language: English; English
• Published: IEEE 2021
• Subjects: TK1001 Production of electric energy. Powerplants
• Online Access: http://irep.iium.edu.my/108398/1/108398_Power%20prediction%20mode%20technique.pdf; http://irep.iium.edu.my/108398/2/108398_Power%20prediction%20mode%20technique_SCOPUS.pdf; http://irep.iium.edu.my/108398/; https://ieeexplore.ieee.org/document/9309564

This paper proposed novel Hill Climbing Search (HCS) algorithm to reach maximum power point tracking (MPPT). The proposed algorithm used two main techniques; the first one is power prediction mode and the second one is the two-mode HCS algorithm. The latter is used to achieve the maximum possible po...