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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.

Figure 2.

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

Table 1.

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
Table 2.

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

[i] STC, standard test conditions.

Figure 3.

Ideal single diode PV cell model. PV, photovoltaic.

Figure 4.

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

Figure 5.

Two diode PV cell model. PV, photovoltaic.

Table 3.

Optimization parameters and their optimization bounds

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

[i] MPPT, maximum power point; PV, photovoltaic.

Table 4.

Optimization data at 1,000 W/m2

VariablesUnitCatalog dataMVO solution
Vmppt(V)41.6541.6500004
Rs(Ω)/0.20000967
ΔP(W)/5.373/10−6
Pmppt(W)578.102578.102005

[i] MVO, multi-verse optimization.

Table 5.

Optimization data for other solar irradiations

ParameterUnitValues
200(W/m2)600 (W/m2)1,000 (W/m2)
Vmppt(V)40.16000641.30000241.6500004
Rs(Ω)0.19998980.2010.20000967
P(W)3.215/10−52.221/10−55.373/10−6
Pmppt, MVO(W)110.44003313.46702578.102005
Pmppt, catalog(W)110.44313.467578.102005

[i] MVO, multi-verse optimization.

Figure 6.

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

Table 6.

Optimization data at 1,000 W/m2

VariablesUnitCatalog dataMVO solution
Vmppt(V)41.6541.6500062
Rs(Ω)/0.2
P(W)/7.7617/10−5
Pmppt(W)578.102578.102077

[i] MVO, multi-verse optimization.

Table 7.

Optimization data for other solar irradiations

ParameterUnitValues
200 (W/m2)600 (W/m2)1,000 (W/m2)
Vmppt(V)40.160000641.300004841.6500062
Rs(Ω)0.199681440.200290.2
P(W)3.0929/10−64.8763/10−67.7617/10−5
Pmppt, MVO(W)110.4400031313.4670049578.102077
Pmppt, catalog(W)110.44313.467578.102077

[i] 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.

Table 8.

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

[i] MVO, multi-verse optimization.

Table 9.

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

[i] 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.

Table 10.

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

[i] GA, genetic algorithms; MVO, multi-verse optimization.

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

© 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.