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Optimization of power regulation strategy for distributed photovoltaic users based on improved genetic algorithm

Yangrui Zhang

Yangrui Zhang

State Grid Hebei Marketing Services CenterShijiazhuang, China
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Zhang, Yangrui
, 
Kai Liu

Kai Liu

State Grid Hebei Marketing Services CenterShijiazhuang, China
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Liu, Kai
, 
Peng Ren

Peng Ren

State Grid Hebei Marketing Services CenterShijiazhuang, China
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Ren, Peng
 e 
Chao Yan

Chao Yan

State Grid Hebei Marketing Services CenterShijiazhuang, China
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Yan, Chao
  
19 mar 2025
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Pubblicato online: 19 mar 2025
Ricevuto: 06 ott 2024
Accettato: 03 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0548
Parole chiave
© 2025 Yangrui Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Photovoltaic prediction
Photovoltaic prediction

Figure 2.

Control simulation results under fixed strategy
Control simulation results under fixed strategy

Figure 3.

The regulatory simulation results under the economic scheduling strategy
The regulatory simulation results under the economic scheduling strategy

Figure 4.

Simulation power consumption curve
Simulation power consumption curve

Economic benefit

Photovoltaic capacity Parallel pattern Purchase cost Sales revenue Integrated income
1kW Spontaneous use of spare electricity 9.52 8.71 -0.81
Direct online 12.72 12.38 -0.34
2kW Spontaneous use of spare electricity 9.58 14.86 5.28
Direct online 12.85 20.05 7.2
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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