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Analysis and design of photovoltaic three-phase grid-connected inverter using passivity-based control
Author(s) -
Zainab Mahmood Abed,
Turki K. Hassan,
Kassim Rasheed Hameed
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v13.i1.pp167-177
Subject(s) - control theory (sociology) , photovoltaic system , maximum power point tracking , inductor , inverter , robustness (evolution) , computer science , capacitor , boost converter , converters , three phase , maximum power principle , voltage , grid connected photovoltaic power system , grid , engineering , mathematics , electrical engineering , control (management) , geometry , biochemistry , chemistry , artificial intelligence , gene
This paper presents photovoltaic three-phase grid-connected inverter with an inductor-capacitor-inductor (LCL)-filter. For robustness against variation of filter parameters and external disturbance, the passivity-based control (PBC) method has been adopted. In this method, there are two interactively coupled feedforward terms and three damping gains in the control loops which are designed to limit the steady state error of grid current. Boost converter with P&O maximum power point tracker (MPPT) is used for each photovoltaic (PV) string to extract maximum power and to raise the PV voltage to a value suitable for the grid-connected inverter. The outputs of all boost converters are connected in parallel and controlled to fixed reference voltage using proportional-integral (PI) controller to make the direct-current (DC) link voltage robust against variations in sun radiation intensity and system parameters change. The suggested system is analyzed, designed and simulated using PSIM program. 1 kW, 2kW, and 3kW PV systems connected to grid of 220V/50Hz are tested and the results show the validity of the suggested grid-connected PV systems and robustness against filter parameters variation.

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