Ioan Banu's picture
First Name: 
Last Name: 
University of Bacau
Job Title: 
Renewables Energy, Photovoltaics, Wind Turbines, Microgrids, Power Electronics, Power Systems
Short Bio: 
Ioan-Viorel Banu received the B.Sc. and M.Sc. degrees in Power Engineering from the „Vasile Alecsandri” University of Bacau, Bacau, Romania, in 2009 and 2011, respectively, and the Ph.D. degree in Power Engineering from the „Gheorghe Asachi” Technical University of Iasi, Iasi, Romania, in 2015. He joined the Department of Power Engineering and Computer Science, Faculty of Engineering, „Vasile Alecsandri” University of Bacau, Bacau, Romania, in October 2021, where, currently, he is a Lecturer. His research interests include power engineering, power electronics, renewable energy, photovoltaics, wind turbines, microgrids, modeling of photovoltaic arrays, power converters for photovoltaic systems, maximum power point tracking algorithms for photovoltaic systems, anti-islanding detection methods in grid-connected photovoltaic systems, and integration of photovoltaic sources into the electric power grid. Dr. Banu has been an IEEE member since 2014. He has served as a reviewer of the IEEE Transactions on Industrial Electronics, IEEE Transactions on Energy Conversion, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, IET Renewable Power Generation, IET Generation, Transmission & Distribution, IET Power Electronics, High Voltage, and Energy Conversion and Management.

Datasets & Competitions

PV Solar Power System Under Partial Shading Irradiance Conditions

Operation of a photovoltaic (PV) solar array connected to a variable DC source to plot the l-V and P-V characteristics under partial shading irradiance conditions.


This dataset holds the Simulink model and the main output results during a day of a PV/T Hybrid Solar Panel from the Department of Power Engineering and Computer Science, Faculty of Engineering, “Vasile Alecsandri” University of Bacau. The obtained results including electrical and thermal efficiency are compared with the performances of a real PV/T System.

The dataset is related to the data used in an article under review sent to the Machines – an Open Access Journal from MDPI (Q2, IF=2.6).


This dataset will contains some simulation models in Matlab/Simulink of four most used active anti-islanding methods namely Active Frequency Drift (AFD), Sandia Frequency Shift (SFS), Slip Mode frequency Shift (SMS), Sandia Voltage Shift (SVS).


This dataset contains (1) the Simulink model of a three-phase photovoltaic power system with passive anti-islanding protections like over/under current (OUC), over/under voltage (OUV), over/under frequency (OUF), rate of change of frequency (ROCOF), and dc-link voltage and (2) the results in the voltage source converter and the point of common coupling of the photovoltaic system during islanding operation mode and detection times of analyzed anti-islanding methods.


Research on Optimizing the Integration of Renewable Energy Sources into the Electrical Power Systems

In this project one model the photovoltaic and wind power sources in order to analyze how to optimally integrate them in the electrical power systems. Integration requirements like transient regimes associated with fault occurrence, identification of the electrical power systems responsible for disturbances, and optimization of the integration are focus points of the research.


The dataset contains fundamental approaches regarding modeling individual photovoltaic (PV) solar cells, panels and combines into array and how to use experimental test data as typical curves to generate a mathematical model for a PV solar panel or array.



The work starts with a short overview of grid requirements for photovoltaic (PV) systems and control structures of grid-connected PV power systems. Advanced control strategies for PV power systems are presented next, to enhance the integration of this technology. The aim of this work is to investigate the response of the three-phase PV systems during symmetrical and asymmetrical grid faults.


This work presents a novel Anti-Islanding (AI) protection of Photovoltaic (PV) Systems based on monitoring the dc-link voltage of the PV inverter. A PV System equipped with AI protection like frequency relays, a rate of change of frequency (ROCOF) relay, and respectively the proposed dc-link voltage relay is simulated under the conditions of islanding and the detection time for all these AI techniques are compared. The study shows under which conditions our proposed dc-link voltage AI relay is the most efficient.


This work presents a Matlab/Simulink study on anti-islanding detection algorithms for a 100kW Grid-Connected Photovoltaic (PV) Array. The main focus is on the islanding phenomenon that occurs at the Point of Common Coupling (PCC) between Grid-Connected PV System and the rest of the electric power system (EPS) during various grid fault conditions. The Grid-Connected PV System is simulated under the conditions of islanding, and anti-islanding (AI) relay reaction times are measured through the simulation.


This work aims to implement in Matlab and Simulink the perturb-and-observe (P&O) and incremental conductance Maximum Power Point Tracking (MPPT) algorithms that are published in the scientific literature.


This work presents the performance evaluation of incremental conductance maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) systems under rapidly changing irradiation condition. The simulation model, carried out in Matlab and Simulink, includes the PV solar panel, the dc/dc buck converter and the MPPT controller. This model provides a good evaluation of performance of MPPT control for PV systems.