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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
 and 
Chao Yan

Chao Yan

State Grid Hebei Marketing Services CenterShijiazhuang, China
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Yan, Chao
  
Mar 19, 2025
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Published Online: Mar 19, 2025
Received: Oct 06, 2024
Accepted: Feb 03, 2025
DOI: https://doi.org/10.2478/amns-2025-0548
Keywords
© 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
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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