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Experimental Verification and Comparative Study of Various MPPT Algorithms

2016; Taylor & Francis; Volume: 57; Issue: 2 Linguagem: Inglês

10.7305/automatika.60-1.1101

1848-3380

Yuval Beck, Nadav Sober,

Solar Radiation and Photovoltaics

AbstractChoosing and implementing a Maximum Power Point Tracking (MPPT) algorithm in a photovoltaic (PV) system, along with choosing the power converter, constitutes the fundamental basic capabilities of a photovoltaic system. MPPT techniques are implemented in photovoltaic systems to achieve full utilization of PV array output power. Today there is a wide variety of MPPT algorithms, each one has its advantages and disadvantages. This paper presents theoretical, as well as experimental comparison results, in several aspects regarding four MPPT methods based on the basic two MPPT algorithms (Perturb and Observe, Incremental Conductance), implemented on a single DC/DC converter, under the same experimental conditions. The theoretical and experimental comparison is performed for characteristics of ripple around the MPP and the convergence time. The experimental results are provided and supported by theoretical analysis and show that gradient based methods have better convergence time as well as ripple values in comparison to fixed step methods.Odabir i implementacija algoritma za traženje točke maksimalne snage (MPPT) zajedno s odabirom pretvarača snage određuje osnovna svojstva fotonaponskog sustava. MPPT algoritmi omogućuju iskorištavanje cjelokupne izlazne snage fotonaposnkog sustava. Danas postoji veliki broj različlitih MPTT algoritama, od kojih svaki ima svoje prednosti i mane. Ovaj rad predstavlja usporedbu teorijskih i eksperimentalnih rezultata ćetiriju MPPT metoda baziranih na dva MPPT algoritma (Perturbacije i promatranja, te Postepene vodljivosti), implementiranih najednom DC/DC pretvaraću, pod istim eksperimentalnim uvjetima. Teorijska i eksperimentalna usporedba je provedena s obzirom na karakteristiku valovitosti oko točke maksimalne snage i vrijeme konvergencije. Eksperimentalni rezultati zajedno s teorijskom analizom pokazuju da gradijentne metode imaju bolje vrijeme konvergencije i vrijednosti valovitosti u odnosu na metode s fiksnim korakom.Key words: algorithmsmaximum power point trackingphotovoltaicrenewable energyKljučne riječi: algoritmitraženje točke največe snagefotonaponskiobnovljiva energija Additional informationNotes on contributorsY. BeckY. Beck was born in Tel Aviv, Israel, on November 30, 1969. He received the B.Sc degree in electronics and electrical engineering from Tel Aviv University in 1996, the M.Sc. degree in 2001, and the Ph.D. degree on the subject of ground currents due to lightning strokes in 2007 both from Tel Aviv University as well. Since 1998, he has been with the Interdisciplinary Department, the Faculty of Engineering, Tel Aviv University. In 2008 joined HIT-Holon Institute of Technology, Holon, Israel, as a Lecturer and from 2010 is acting as the head of Energy and Power Systems department at the faculty of engineering. His research interests include Smart Grid technologies, lightning discharge phenomena; lightning protection systems; power electronics, and photovoltaic systems.N. SoberN. Sober was born in Tel-Aviv, Israel, on December 3, 1981. He joined Israel Defense Force in 2001 to play technical role as part of the technologic core of IDF. In 2005, he joined InspiAir, an Israeli startup, which developed wireless communication system in WiFi (802.11 g/b) standards. In 2007, he joined Airspan Networks, a leading company in Wireless Broadband specialized in developing products based on WiMax(802.16) and LTE standards. In 2012, he joined SanDisk Inc., a leading company in the flash industry developing flash devices. He received the B.Sc degree in electronics and electrical engineering from HIT-Holon Institute of Technology in 2011, ad was a part of a research team on Developing Maximum Power Point Tracker (“MPPT”) system based on most common MPPT algorithms.