Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/8387
Title: Power prediction mode technique for Hill Climbing Search algorithm to reach the maximum power point tracking
Authors: Badawi, Ahmed Samir 
Hasbullah, Nurul Fadzlin 
Yusoff, Siti Hajar 
Hashim, Aisha 
Khan, Sheroz 
Zyoud, Alhareth Mohammed 
Keywords: MPPT;Photovoltaic power systems;Maximum power point tracking;(HCS);Hill-climbing search;Mathematical optimization;Reliability (Engineering);Offshore wind power plants - Design and construction;Offshore wind power plants - Mathematical models;(WECS);Direct energy conversion;Wind energy conversion system
Issue Date: 2020
Publisher: ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings
Abstract: 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 .
URI: http://hdl.handle.net/20.500.11889/8387
DOI: 10.1109/ICECIE50279.2020.9309564
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