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Development of PV-Power-Hardware-In-Loop Simulator with Realtime to Improve the Performance of the Distributed PV Inverter
Author(s) -
DaeJin Kim,
Byungki Kim,
Kung-Sang Ryu,
Gwang-Se Lee,
Moon-Seok Jang,
Hee-Sang Ko
Publication year - 2017
Publication title -
journal of the korean solar energy society
Language(s) - English
Resource type - Journals
eISSN - 2508-3562
pISSN - 1598-6411
DOI - 10.7836/kses.2017.37.3.047
Subject(s) - photovoltaic system , inverter , computer science , renewable energy , computation , matlab , maximum power point tracking , simulation , hardware in the loop simulation , component (thermodynamics) , boosting (machine learning) , automotive engineering , control engineering , electrical engineering , engineering , physics , algorithm , voltage , machine learning , thermodynamics , operating system
As the global warming threats to humanity, renewable energy is considered the key solution to overcome the climate change. In this circumstance, distributed PV systems are being expanded significantly its market share in the renewable energy industry. The performance of inverter is the most important component at PV system and numerous researches are focusing on it. In order to improve the inverter, PV simulator is an essential device to experiment under various load and conditions. This paper proposes the PV Power–Hardware–In–Loop simulator (PHILS) with real-time processing converted electrical and mathematical models to improve computation speed. Single-diode PV model is used in MATLAB/SIMULINK for the PV PHILS to boosting computation speed and dynamic model accuracy. In addition, control algorithms for sub-components such as DC amplifier, measurement device and several interface functions are implemented in the model. The proposed PV PHILS is validated by means of experiments with commercial PV module parameters.

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