Gauss-Seidel iteration based parameter estimation for a single diode model of a PV module

2015 ◽  
Author(s):  
S. Shongwe ◽  
M. Hanif
Keyword(s):  
Parameter Estimation ◽  
Pv Module

scholarly journals Iterative Based Parameter Estimation for Non-Linear Model of a PV Module

2019 ◽  
Vol 8 (6S3) ◽  
pp. 788-791
Keyword(s):  
Parameter Estimation ◽  
Solar Cell ◽  
Equivalent Circuit ◽  
Linear Model ◽  
Generation System ◽  
Unknown Parameters ◽  
Stepwise Approach ◽  
Pv Module ◽  
Final Output ◽  
Pv Generation

The modeling of Photovoltaic will assist in the assessment of the final output from the PV generation system. The estimation of five unknown parameters would contribute to building a single diode model. The equivalent circuit will facilitate in estimating five unknown parameters by considering the input parameters of the datasheets. The current and voltage from the cell are determined through using these parameters at different temperature and irradiance. The work states the Gauss-Seidel approach in a stepwise approach to obtain the 5 quantities including series and shunt resistances used in the solo diode prototype. The graph of the I-V features of the PV module is based on these quantities. SQ80 module at various temperature and irradiance are considered. The software program is used for the execution of the model. The reproduction outcomes are tested using graphs from the datasheet of the SQ80 solar cell

Parameter estimation of single diode PV module based on Nelder-Mead optimization algorithm

2018 ◽  
Vol 15 (1) ◽  
pp. 70-81 ◽  
Author(s):  
Alivarani Mohapatra ◽  
Byamakesh Nayak ◽  
Kanungo Barada Mohanty
Keyword(s):  
Parameter Estimation ◽  
Optimization Algorithm ◽  
Environmental Conditions ◽  
Reference Model ◽  
Model Parameters ◽  
Unknown Parameters ◽  
Pv System ◽  
Content Type ◽  
Pv Module ◽  
Proposed Model

Purpose This paper aims to propose a simple, derivative-free novel method named as Nelder–Mead optimization algorithm to estimate the unknown parameters of the photovoltaic (PV) module considering the environmental conditions. Design/methodology/approach At a particular temperature and irradiation, experimental current-voltage (I-V) and power-voltage (P-V) characteristics are drawn and considered as a reference model. The PV system model with unknown model parameters is considered as the adaptive model whose unknown model parameters are to be adapted so that the simulated characteristics closely matches with the experimental characteristics. A single diode (Rsh) model with five unknown model parameters is considered here for the parameter estimation. Findings The key advantages of this method are that parameters are estimated considering environmental conditions. Experimental characteristics are considered for parameter estimation which gives accurate results. Parameters are estimated considering both I-V and P-V curves as most of the applications demand extraction of the actual power from the PV module. Originality/value The proposed model is compared with other three well-known models available in the literature considering various statistical errors. The results show the superiority of the proposed model with a minimum error for both I-V and P-V characteristics.

scholarly journals Optimal PV Parameter Estimation via Double Exponential Function-Based Dynamic Inertia Weight Particle Swarm Optimization

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 4037 ◽  
Author(s):  
Arooj Tariq Kiani ◽  
Muhammad Faisal Nadeem ◽  
Ali Ahmed ◽  
Irfan Khan ◽  
Rajvikram Madurai Elavarasan ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Particle Swarm Optimization ◽  
Pv System ◽  
Swarm Optimization ◽  
Inertia Weight ◽  
Pv Module ◽  
Double Exponential ◽  
Dynamic Inertia Weight ◽  
Dynamic Inertia ◽  
Double Exponential Function

Parameters associated with electrical equivalent models of the photovoltaic (PV) system play a significant role in the performance enhancement of the PV system. However, the accurate estimation of these parameters signifies a challenging task due to the higher computational complexities and non-linear characteristics of the PV modules/panels. Hence, an effective, dynamic, and efficient optimization technique is required to estimate the parameters associated with PV models. This paper proposes a double exponential function-based dynamic inertia weight (DEDIW) strategy for the optimal parameter estimation of the PV cell and module that maintains an appropriate balance between the exploitation and exploration phases to mitigate the premature convergence problem of conventional particle swarm optimization (PSO). The proposed approach (DEDIWPSO) is validated for three test systems; (1) RTC France solar cell, (2) Photo-watt (PWP 201) PV module, and (3) a practical test system (JKM330P-72, 310 W polycrystalline PV module) which involve data collected under real environmental conditions for both single- and double-diode models. Results illustrate that the parameters obtained from proposed technique are better than those from the conventional PSO and various other techniques presented in the literature. Additionally, a comparison of the statistical results reveals that the proposed methodology is highly accurate, reliable, and efficient.

scholarly journals Modelling of PV module and its application for partial shading analysis – part I: model and parameter estimation of PV module

2017 ◽  
Vol 2017 (13) ◽  
pp. 1295-1298 ◽  
Author(s):  
Zhang Mao ◽  
Zhong Sunan ◽  
Mao Peng ◽  
Sun Yanlong ◽  
Zhang Weiping
Keyword(s):  
Parameter Estimation ◽  
Partial Shading ◽  
Pv Module

Parameter estimation of single diode PV module based on GWO algorithm

2019 ◽  
Vol 30 ◽  
pp. 1-12 ◽  
Author(s):  
Byamakesh Nayak ◽  
Alivarani Mohapatra ◽  
Kanungo Barada Mohanty
Keyword(s):  
Parameter Estimation ◽  
Pv Module

An improved method for SRC parameter estimation for the CEC PV module model

Solar Energy ◽  
2015 ◽  
Vol 120 ◽  
pp. 525-535 ◽  
Author(s):  
A. Laudani ◽  
G.M. Lozito ◽  
F. Mancilla-David ◽  
F. Riganti-Fulginei ◽  
A. Salvini
Keyword(s):  
Parameter Estimation ◽  
Improved Method ◽  
Pv Module
Sign in / Sign up

Export Citation Format

Share Document