Hybrid HCS-fuzzy mppt algorithm for hydrokinetic energy harnessing

Wan Ismail, Ibrahim and Mohd Rusllim, Mohamed and Raja Mohd Taufika, Raja Ismail (2022) Hybrid HCS-fuzzy mppt algorithm for hydrokinetic energy harnessing. In: 2022 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2022 - Proceedings , 25 June 2022 , Shah Alam. pp. 119-124. (180716). ISBN 978-166549581-3

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Abstract

This paper proposes a hybrid maximum power point tracking (MPPT) algorithm for the stand-alone hydrokinetic technology in river application. The fixed stepsize Hill Climbing Search (HCS) algorithm is widely used due to its simplicity. However, the operating point oscillates around the maximum power point (MPP) during dynamic steady-state resulting waste some amount of energy. The proposed algorithm is the combination of the Fuzzy Logic Controller (FLC) and HCS algorithm to provide the variable step-size to eradicate the limitation of conventional HCS algorithm. The proposed algorithm has been compared with the Small Step HCS (SS-HCS) to investigate the performance of the algorithm. The simulation results illustrated the proposed algorithm (Fuzzy-HCS) improved the output power with 89.91 % efficiency and minimizes oscillation during dynamic steady-state.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Fuzzy logic controller; Hill-climbing search; Hydrokinetic; MPPT
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	29 Nov 2023 07:23
Last Modified:	29 Nov 2023 07:23
URI:	http://umpir.ump.edu.my/id/eprint/39435
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