Optimization Design and Test Bed of Fuzzy Control Rule Base for PV System MPPT in Micro Grid

Jong-Chan Kim, Jun-Ho Huh and Jae-Sub Ko
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Jong-Chan Kim: Department of Computer Engineering, Sunchon National University, 255 Jungang-ro, Suncheon-city Jeollanam do 57922, Korea
Jun-Ho Huh: Department of Data Informatics, Korea Maritime and Ocean University, Busan 600-716, Korea
Jae-Sub Ko: Department of Electrical Engineering, Sunchon National University, 255 Jungang-ro, Suncheon-city Jeollanam do 57922, Korea

Sustainability, 2020, vol. 12, issue 9, 1-25

Abstract: This paper presents an optimal design of a fuzzy control rule base for tracking the maximum power point of a photovoltaic (PV) system. Fuzzy control is used for the maximum power point tracking (MPPT) of PV systems because it has the advantage of processing nonlinear systems. The rule base of fuzzy control depends on the user or designer’s experience and determines the fuzzy control’s performance. In this paper, we divide the MPPT state of the PV system into four cases according to the operating conditions, and propose the rule base design of the fuzzy control according to each case. The proposed method in the paper tests the MPPT performance using artificial lighting and compares the results with the conventional control method (proportional and integral (PI) and perturbation & observation (P&O) method) to prove its effectiveness.

Keywords: PV system; fuzzy control; MPPT; rule base; error; changing error; micro grid (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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