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Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models Cover

Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models

Open Access
|Mar 2025

Figures & Tables

Figure 1.

Conceptual models of white hole, black hole and wormhole components.
Conceptual models of white hole, black hole and wormhole components.

Figure 2.

MVO algorithm presentation. MVO, multi-verse optimization; TDR, traveling distance rate; WEP, wormhole existence probability.
MVO algorithm presentation. MVO, multi-verse optimization; TDR, traveling distance rate; WEP, wormhole existence probability.

Figure 3.

Ideal single diode PV cell model. PV, photovoltaic.
Ideal single diode PV cell model. PV, photovoltaic.

Figure 4.

Real single-diode PV cell model. PV, photovoltaic.
Real single-diode PV cell model. PV, photovoltaic.

Figure 5.

Two diode PV cell model. PV, photovoltaic.
Two diode PV cell model. PV, photovoltaic.

Figure 6.

Objective function change during the MVO search for ideal single-diode model at 1,000 W/m2. MVO, multi-verse optimization.
Objective function change during the MVO search for ideal single-diode model at 1,000 W/m2. MVO, multi-verse optimization.

Figure 7.

Objective function change during the MVO search for real single-diode model at 1,000 W/m2. MVO, multi-verse optimization.
Objective function change during the MVO search for real single-diode model at 1,000 W/m2. MVO, multi-verse optimization.

Figure 8.

Objective function change during the MVO search for two-diode model at 1,000 W/m2. MVO, multi-verse optimization.
Objective function change during the MVO search for two-diode model at 1,000 W/m2. MVO, multi-verse optimization.

Optimization data at 1,000 W/m2

VariablesUnitCatalog dataMVO solution
Vmppt(V)41.6541.6500012
Rs(Ω)/0.20019324
P(W)/1.512/10−5
Pmppt(W)578.102578.10202

Optimization data for other solar irradiations

ParameterUnitValues

200 (W/m2)600 (W/m2)1,000 (W/m2)
Vmppt(V)40.1600141.300006441.6500012
Rs(Ω)0.20.20.20019324
P(W)4.872/10−56.502/10−51.512/10−5
Pmppt, MVO(W)110.44005313.46707578.10202
Pmppt, catalog(W)110.44313.467578.10202

Parameters of the analyzed module given by the producer with included bifaciality of 10%

ParametersUnitValues
Peak power(Wp)578
Maximum voltage per MPPT(V)41.65
Maximum current per MPPT(A)13.88
Open circuit voltage(V)49.93
Short circuit current(A)14.93
Ns(# of cells)60
KI(%/°C)0.00543
KV(%/°C)−0.136
GSTC(W/m2)1,000

Optimization parameters and their optimization bounds

VariablesDescriptionLower boundaryUpper boundary
Vmppt (V)Voltage at MPPT4042
Rs (Ω)PV cell series resistance0.10.3

Comparative optimization data at 1,000 W/m2 and 20°C

MethodsParameters

VmppPmppP
(V)(W)(W)
Catalogue data41.65578.102/
MVO41.6500004578.102055.373/10−6
GA41.362578.116670.014674

Standard parameters of the analyzed module given by the producer

ParametersUnitValues
Peak power(Wp)540
Maximum voltage per MPPT(V)41.64
Maximum current per MPPT(A)12.97
Open circuit voltage(V)49.60
Short circuit current(A)13.86
Efficiency(%)20.9
Area of the module(m2)2.58
DOI: https://doi.org/10.2478/pead-2025-0007 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
Language: English
Page range: 110 - 124
Submitted on: Dec 24, 2024
Accepted on: Feb 24, 2025
Published on: Mar 21, 2025
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Angela Najdoska, Goga Cvetkovski, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.