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Modelling and optimisation of photovoltaic power generation systems based on artificial intelligence algorithms

Guoze Xu

Guoze Xu

Huaneng (Gansu) New Energy Co., LtdLanzhou, China
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Sciendo|Google Scholar
Xu, Guoze
 und 
Dong Wang

Dong Wang

Huaneng (Gansu) New Energy Co., LtdLanzhou, China
Suche nach diesem Autor auf
Sciendo|Google Scholar
Wang, Dong
  
03. Feb. 2025
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Online veröffentlicht: 03. Feb. 2025
Eingereicht: 31. Aug. 2024
Akzeptiert: 25. Dez. 2024
DOI: https://doi.org/10.2478/amns-2025-0011
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© 2025 Guoze Xu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

The composition of photovoltaic power generation system
The composition of photovoltaic power generation system

Figure 2.

Working principle diagram of boost chopper circuit
Working principle diagram of boost chopper circuit

Figure 3.

Step-up chopper circuit model
Step-up chopper circuit model

Figure 4.

Photovoltaic cell P-U and I-U characteristic curves with temperature of 25°C
Photovoltaic cell P-U and I-U characteristic curves with temperature of 25°C

Figure 5.

Photovoltaic cell P-U and I-U characteristic curves with solar intensity of 1000W/m2
Photovoltaic cell P-U and I-U characteristic curves with solar intensity of 1000W/m2

Figure 6.

Photovoltaic cell voltage and power output curves with different solar intensity
Photovoltaic cell voltage and power output curves with different solar intensity

Figure 7.

Photovoltaic cell voltage and power output curves with different temperature
Photovoltaic cell voltage and power output curves with different temperature

Figure 8.

Maximum power working equivalent circuit of photovoltaic cells
Maximum power working equivalent circuit of photovoltaic cells

Figure 9.

MPPT process diagram
MPPT process diagram

Figure 10.

Performance of PVS under Pattern-1 for PSO and PSO-MPPT algorithm
Performance of PVS under Pattern-1 for PSO and PSO-MPPT algorithm

Figure 11.

Performance of PVS under Pattern-2 for PSO and PSO-MPPT algorithm
Performance of PVS under Pattern-2 for PSO and PSO-MPPT algorithm

Figure 12.

Performance of PVS under Pattern-3 for PSO and PSO-MPPT algorithm
Performance of PVS under Pattern-3 for PSO and PSO-MPPT algorithm

Figure 13.

Performance of PVS under Pattern-4 for PSO and PSO-MPPT algorithm
Performance of PVS under Pattern-4 for PSO and PSO-MPPT algorithm

PSO-MPPT shading modes of PVS under different sun illumination (G)

Shading mode Module 1 Module 2 Module 3 Module 4
Gin(W/m2) Gin(W/m2) Gin(W/m2) Gin(W/m2)
Pattern-1 1000 1000 1000 1000
Pattern-2 1000 750 500 250
Pattern-3 750 500 250 150
Pattern-4 500 400 200 150

Comparative practical power (Ppv) and efficiency drawn by PSO-MPPT and PSO

Pattern PSO-MPPT PSO
Ppv Efficiency Ppv Efficiency
Pattern-1 235.22 99.78% 232.15 98.48%
Pattern-2 115.40 99.60% 113.05 97.57%
Pattern-3 78.32 99.59% 75.25 95.69%
Pattern-4 65.12 99.54% 64.03 97.88%
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