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 power from Wind Energy Conversion System (WECS) with better efficiency, faster convergence speed and using only two-mode (more simple) to avoid the iteration and delay. Moreover, novel algorithm not requires any prior knowledge of WECS and it's considered absolutely independent of Wind Turbine (WT) generator. The simulation results confirm that the proposed algorithm is remarkably faster by 30 % of the total time required comparing to the mode HCS and more efficient due to simplicity.