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

Badawi, Ahmed Samir and Hasbullah, Nurul Fadzlin and Yusoff, Siti Hajar and Hassan Abdalla Hashim, Aisha and Khan, Sheroz and Zyoud, Alhareth Mohammed (2021) Power prediction mode technique for Hill Climbing Search algorithm to reach the maximum power point tracking. In: 2nd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE 2020), 28th November 2020, Kuala Lumpur, Malaysia.

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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.

Item Type:	Proceeding Paper (Plenary Papers)
Uncontrolled Keywords:	maximum power point tracking (MPPT), hill climbing search (HCS), wind turbine (WT), wind energy conversion system (WECS)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy. Powerplants
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	dr siti hajar yusoff
Date Deposited:	28 Nov 2023 14:58
Last Modified:	28 Nov 2023 15:20
URI:	http://irep.iium.edu.my/id/eprint/108398

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