8-Parameter Extraction in Photovoltaic Cell Using Firefly Optimization Technique

2021 ◽  
Author(s):  
Adedayo M. Farayola ◽  
Yanxia Sun ◽  
Ahmed Ali
Keyword(s):  
Optimization Technique ◽  
Photovoltaic Cell ◽  
Parameter Extraction ◽  
Firefly Optimization

Array Design for the Synthesis of Stair Step Patterns Using Firefly Optimization Technique

2019 ◽  
Vol 9 (4) ◽  
pp. 285
Author(s):  
Krishna Rudraraju Chaitanya ◽  
P. Mallikarjuna Rao ◽  
K. V. S. N. Raju ◽  
G. S. N. Raju
Keyword(s):  
Optimization Technique ◽  
Array Design ◽  
Firefly Optimization

scholarly journals Parameter Estimation of Photovoltaic Cell/Modules Using Bonobo Optimizer

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 140
Author(s):  
Abdullrahman A. Al-Shamma’a ◽  
Hammed O. Omotoso ◽  
Fahd A. Alturki ◽  
Hassan. M. H. Farh ◽  
Abdulaziz Alkuhayli ◽  
...  
Keyword(s):  
Photovoltaic Cell ◽  
Parameter Extraction ◽  
Computational Time ◽  
Flower Pollination Algorithm ◽  
Bee Colony ◽  
The Social ◽  
Social Conduct ◽  
Cell Modules ◽  
Manta Ray ◽  
Simulation Time

In this paper, a new application of Bonobo (BO) metaheuristic optimizer is presented for PV parameter extraction. Its processes depict a reproductive approach and the social conduct of Bonobos. The BO algorithm is employed to extract the parameters of both the single diode and double diode model. The good performance of the BO is experimentally investigated on three commercial PV modules (STM6-40 and STP6-120/36) and an R.T.C. France silicon solar cell under various operating circumstances. The algorithm is easy to implement with less computational time. BO is extensively compared to other state of the art algorithms, manta ray foraging optimization (MRFO), artificial bee colony (ABO), particle swarm optimization (PSO), flower pollination algorithm (FPA), and supply-demand-based optimization (SDO) algorithms. Throughout the 50 runs, the BO algorithm has the best performance in terms of minimal simulation time for the R.T.C. France silicon, STM6-40/36 and STP6-120/36 modules. The fitness results obtained through root mean square (RMSE), standard deviation (SD), and consistency of solution demonstrate the robustness of BO.

scholarly journals A Model Parameter Extraction Method for Dielectric Barrier Discharge Ozone Chamber using Differential Evolution

2014 ◽  
Vol 14 (2) ◽  
pp. 78-86 ◽  
Author(s):  
M. Amjad ◽  
Z. Salam ◽  
K. Ishaque
Keyword(s):  
Differential Evolution ◽  
Power Supply ◽  
Barrier Discharge ◽  
Resonance Condition ◽  
Optimization Technique ◽  
Parameter Extraction ◽  
Gas Generator ◽  
Dielectric Barrier ◽  
New Approach ◽  
Parameter Values

Abstract In order to design an efficient resonant power supply for ozone gas generator, it is necessary to accurately determine the parameters of the ozone chamber. In the conventional method, the information from Lissajous plot is used to estimate the values of these parameters. However, the experimental setup for this purpose can only predict the parameters at one operating frequency and there is no guarantee that it results in the highest ozone gas yield. This paper proposes a new approach to determine the parameters using a search and optimization technique known as Differential Evolution (DE). The desired objective function of DE is set at the resonance condition and the chamber parameter values can be searched regardless of experimental constraints. The chamber parameters obtained from the DE technique are validated by experiment.

Sign in / Sign up

Export Citation Format

Share Document