Research Papers

Maximum Power Tracking and Current Control for Solar Photovoltaic System Applications, Hybrid Dynamical System Approach

[+] Author and Article Information
Ali Dali

École nationale polytechnique d'Alger,
Avenue Hacen Badi El harrach,
Alger 16200, Algérie;
Centre de Développement des Energies
CDER BP 62 Route de l'Observatoire, Bouzaréah,
Alger 16340, Algérie
e-mails: ali.dali.dz@gmail.com;

Said Diaf

Centre de Développement des Energies
CDER BP 62 Route de l'Observatoire,
Bouzaréah 16340, Algérie
e-mail: s.diaf@cder.dz

Mohamed Tadjine

École nationale polytechnique d'Alger,
Avenue Hacen Badi El harrach,
Alger 16200, Algérie
e-mail: mohamed.tadjine@mail.enp.edu.dz

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received April 27, 2017; final manuscript received April 4, 2019; published online May 8, 2019. Editor: Joseph Beaman.

J. Dyn. Sys., Meas., Control 141(9), 091017 (May 08, 2019) (8 pages) Paper No: DS-17-1224; doi: 10.1115/1.4043556 History: Received April 27, 2017; Revised April 04, 2019

The problem of a DC-DC buck converter control to extract the maximum power from a photovoltaic (PV) system is considered in this paper. A controller is proposed based on the hybrid dynamical system approach dealing with both voltage and current control. This approach allows the system to track a desired voltage using the maximum power point tracking (MPPT) algorithm while keeping the output current at a moderate level. The stability of the closed loop of the full system is demonstrated by means of Lyapunov theory. The simulation utilizes realistic PV array parameters obtained using particle swarm optimization (PSO) identification algorithm. Experimental results are also presented showing the good performance of the proposed controller.

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Fig. 1

Typical example of low voltage DC microgrid

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Fig. 2

The two diodes model of a PV cell

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Fig. 3

DC-DC buck converter

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Fig. 4

Flowchart of INC algorithm

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Fig. 5

The hybrid automaton

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Fig. 6

I-V curve for both: real and identified PV array

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Fig. 7

Simulation results: ((a) and (b)) first test ((c) and (d)) second test ((e) and (f)) third test

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Fig. 8

The experimental setup

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Fig. 9

Experimental results of the proposed approach: ((a) and (b)) voltage control ((c) and (d)) current control ((e) and (f)) hybrid control with MPPT tracking



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