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Simplified model of battery energy-stored quasi-Z-source inverter-based photovoltaic power plant with Twofold energy management system

Authors :
Emanuel P. P. Soares-Ramos
Pablo Garcia-Trivino
Higinio Sanchez-Sainz
Francisco Llorens-Iborra
Enrique Gonzalez-Rivera
Lais de Oliveira-Assis
Luis M. Fernández-Ramírez
Raul Sarrias-Mena
Source :
Energy. 244:122563
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

The use of a battery energy-stored quasi-Z-source inverter (BES-qZSI) for large-scale PV power plants exhibits promising features due to the combination of qZSI and battery as energy storage system, such as single-stage power conversion (without additional DC/DC boost converter), improvements in the output waveform quality (due to the elimination of switching dead time), and continuous and smooth delivery of energy to the grid (through the battery energy storage system). This paper presents a new simplified model of a BES-qZSI to represent the converter dynamics with sufficient accuracy while using a less complex model than the detailed model (including the modelling of all switches and switching pulses). It is based on averaged values of the variables, voltage/current sources, and the same control circuit than the detailed model, except for the switching pulses generation. The simplified model enables faster time-domain simulation and is useful for control design and dynamic analysis purposes. Additionally, an energy management system has been developed to govern the power supply to grid under two possible scenarios: 1) System operator command following; or 2) economic dispatch of the stored energy. The results obtained from simulations and experimental hardware-in-the-loop (HIL) setup for different operating conditions of the grid-connected large-scale PV power plant with battery energy storage under study demonstrate the validity of the proposed simplified model to represent the dynamics of the converter and PV power plant for steady-state stability studies, long-term simulations, or large electric power systems.

Details

ISSN :
03605442
Volume :
244
Database :
OpenAIRE
Journal :
Energy
Accession number :
edsair.doi...........384dd6fde0a8bacd30adb994819a72d8
Full Text :
https://doi.org/10.1016/j.energy.2021.122563