Open Access

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

Guoze Xu

Guoze Xu

Huaneng (Gansu) New Energy Co., LtdLanzhou, China
Search for this author on
Sciendo|Google Scholar
Xu, Guoze
 and 
Dong Wang

Dong Wang

Huaneng (Gansu) New Energy Co., LtdLanzhou, China
Search for this author on
Sciendo|Google Scholar
Wang, Dong
  
Feb 03, 2025
Modelling and optimisation of photovoltaic power generation systems based on artificial intelligence algorithms's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Published Online: Feb 03, 2025
Received: Aug 31, 2024
Accepted: Dec 25, 2024
DOI: https://doi.org/10.2478/amns-2025-0011
Keywords
© 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%
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
Journal RSS Feed