Maximizing power generation in variable speed micro-hydro with power point tracking

Min Keng Tan and Norafe Maximo Javinez and Kit Guan Lim and Ahmad Razani Haron and Pungut Ibrahim and Kenneth Tze Kin Teo (2022) Maximizing power generation in variable speed micro-hydro with power point tracking.

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Official URL: https://ieeexplore.ieee.org/document/9936859

Abstract

Conventional variable speed micro-hydro control systems suffer from non-optimal input control. The controllers estimate the changes in flow rate without anticipating the global maximum power curve. As such, this paper aims to explore and develop a feasible maximum power point tracker (MPPT) with perturb and observe (P&O) and genetic algorithm (GA) in providing optimal power generation for variable speed micro-hydro system. This research first introduces a mathematical model for an experimental variable speed micro-hydro platform and then simulates the microhydro in MATLAB. Conventional P&O MPPT algorithm used fixed perturbation size which requires large computation time when the perturbation size is small and suffers from power fluctuation issues when the perturbation size is large. Thus, a GA-based P&O MPPT algorithm with adaptive perturbation size is proposed to provide a large perturbation size during transient response and a small perturbation size at a steady state. The simulation results showed that the proposed GAbased P&O MPPT algorithm was able to track the global maximum power point (MPP).

Item Type:	Proceedings
Keyword:	variable speed micro-hydro, maximum power point tracking, perturb-and-observe, genetic algorithm
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA299.6-433 Analysis T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK2000-2891 Dynamoelectric machinery and auxiliaries Including generators, motors, transformers
Department:	FACULTY > Faculty of Engineering
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	05 Nov 2024 14:22
Last Modified:	05 Nov 2024 14:22
URI:	https://eprints.ums.edu.my/id/eprint/41740

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