Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review

The contribution of solar photovoltaics (PV׳s) in generation of electric power is continually increasing. PV cells are commonly modelled as circuits. Finding appropriate circuit model parameters of PV cells is crucial for performance evaluation, control, efficiency computations and maximum power point tracking of solar PV systems. The problem of finding circuit model parameters of solar PV cells is referred to as “PV cell model parameter estimation problem,” and is highly attracted by researchers. In this paper, the existing research works on PV cell model parameter estimation problem are classified into three categories and the research works of those categories are reviewed. Based on the conducted review, some recommendations for future research are provided.

Parameter estimation of solar photovoltaic (PV) cells: A review

An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models

This paper presents results obtained from monitoring a 1.72 kWp photovoltaic system installed on a flat roof of a 12 m high building in Dublin, Ireland (latitude 53.4°N and longitude 6.3°E). The system was monitored between November 2008 and October 2009 and all the electricity generated was fed into the low voltage supply to the building. Monthly average daily and annual performance parameters of the PV system evaluated include: final yield, reference yield, array yield, system losses, array capture losses, cell temperature losses, PV module efficiency, system efficiency, inverter efficiency, performance ratio and capacity factor. The maximum solar radiation, ambient temperature and PV module temperature recorded were 1241 W/m2 in March, 29.5 °C and 46.9 °C in June respectively. The annual total energy generated was 885.1 kW h/kWp while the annual average daily final yield, reference yield and array yield were 2.41 kW h/kWp/day, 2.85 kW h/kWp/day and 2.62 kW h/kWp/day respectively. The annual average daily PV module efficiency, system efficiency and inverter efficiency were 14.9%, 12.6% and 89.2% respectively while the annual average daily performance ratio and capacity factor were 81.5% and 10.1% respectively. The annual average daily system losses, capture losses and cell temperature losses were 0.23 h/day, 0.22 h/day and 0.00 h/day respectively. Comparison of this system with other systems in different locations showed that the system had the highest annual average daily PV module efficiency, system efficiency and performance ratio of 14.9%, 12.6% and 81.5% respectively. The PV system’s annual average daily final yield of 2.4 kW h/kWp/day is higher than those reported in Germany, Poland and Northern Ireland. It is comparable to results from some parts of Spain but it is lower than the reported yields in most parts of Italy and Spain. Despite low insolation levels, high average wind speeds and low ambient temperature improve Ireland’s suitability.

Measured Performance of a 1.72 kW Rooftop Grid Connected Photovoltaic System in Ireland

Parameters extraction of the three diode model for the multi-crystalline solar cell/module using Moth-Flame Optimization Algorithm

A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm

A Simulation model for simulation of a single solar cell and two solar cells in series has been developed using Simelectronics (Matlab/Simulink) environment and is presented here in this paper.Â  A solar cell block is available in simelectronics, which was used with many other blocks to plot I-V and P-V characteristics under variations of parameters considering one parameter variation at a time. The effect of variation of parameters such as series resistance, R s , shunt resistance R sh , diode parameters: diode saturation current, I s and ideality factor, N, could be seen on the characteristics of a single solar cell. Effect of two environmental parameters of temperature and irradiance variations could also be observed from simulated characteristics.Â  Matlab coding has been done to find the maximum power output, P m , and voltage at maximum power output, V m , of a single solar cell and two solar cells (in series) under different values of parameters.Â  The P m and V m values are tabulated here in this paper for variation of one parameter at a time, considering the diode parameters: I s and N, resistances: series and shunt, temperature and irradiance.

https://www.ijrer.com/index.php/ijrer/article/download/416/pdf

MATLAB/SIMELECTRONICS Models Based Study of Solar Cells

Statistical analysis and engineering fit models for two-diode model parameters of large area silicon solar cells

Swarm intelligence based technique has been used in this work for the estimation of parameters of photovoltaic cells using the two-diode model of the photovoltaic cell. Particle Swarm Optimization algorithm was used to fit the calculated current–voltage characteristics of the photovoltaic cells to the experimental one. The estimated parameters were the generated photocurrent, saturation currents, series resistance, shunt resistance and ideality factors. The proposed approach was validated using industrial photovoltaic cells.

Estimation of Photovoltaic Cells Model Parameters using Particle Swarm Optimization

PurposeThe coronavirus disease 2019 (COVID-19) situation has led to the emergence of virtual teams in all organizations, and the role of leadership has become more pertinent. The current research focuses on understanding the factors for better team performance in virtual teams. Based on the contingency perspective, the behavioral complexity in leadership (BCL) theory is the most appropriate as BCL requires the leader to demonstrate multiple contrasting leadership behaviors according to the situation. Both internal as well external roles were explored, which could facilitate better communication quality and role clarity to increase interpersonal trust and leadership effectiveness in the current crisis.Design/methodology/approachData were collected from employees who have worked in virtual teams during the crisis and who have experience of working in a virtual team environment. A total of 200 questionnaires were distributed, and 175 were received. A path model was built applying partial least squares structural equation modeling (PLS-SEM).FindingsCommunication quality has come as a partial mediator for the relationship between internal and external leadership roles and trust. Role clarity fully mediated the relationship between external leadership roles and conflict. Internal and external leadership roles showed a significant effect on leadership effectiveness, which were further related to team performance in virtual teams. Additionally, synchronous technology was used more by virtual teams.Research limitations/implicationsThe study did not examine cultural differences or cultural adaptation in virtual teams. Instead of the BCL theory, future research may apply attribute-based or relational-based theory to examine leadership roles in virtual team performance.Originality/valueUsing the BCL theory, the current study contributes to an understanding of virtual team performance and the internal as well as external role of leaders. This is relevant in an environment of extreme ambiguity such as COVID-19.

Vandana Khanna

Papers

A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm

MATLAB/SIMELECTRONICS Models Based Study of Solar Cells

Statistical analysis and engineering fit models for two-diode model parameters of large area silicon solar cells

Estimation of Photovoltaic Cells Model Parameters using Particle Swarm Optimization

Virtual team performance: E-leadership roles in the era of COVID-19