Open Access

Construction of a framework for real-time evaluation of regulation effect of distributed photovoltaic users based on multi-source data fusion

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Mar 19, 2025

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Figure 1.

Resident load and output of distributed Power supply in a certain area
Resident load and output of distributed Power supply in a certain area

Figure 2.

The load response curve in scenario 1
The load response curve in scenario 1

Figure 3.

The load response curve in scenario 2
The load response curve in scenario 2

Figure 4.

Simulation scheme of our scheme
Simulation scheme of our scheme

Figure 5.

Distribution proportion
Distribution proportion

Analysis of experimental results in multiple scenarios

Scenario Minimum net load/kw Maximum net load/kw Maximum peak valley difference/kw The power of the undenied/kWh
Before adjustable load involvement -305.9 1484.6 1790.0 -530.5
After adjustable load involvement Scenario1 -85.4 1185.3 1271.2 -120.8
Scenario2 -81.6 1154.0 1235.7 -56.0

The comparison of economic benefits of the four schemes

Date Weather Scheme1 (yuan) Scheme2 (yuan) Scheme3 (yuan) Ours (yuan)
9/1 Sunny 30.975 32.753 27.730 27.074
9/2 Rainy -14.587 -14.457 -8.092 -7.007
9/3 Sunny 30.975 32.770 30.428 27.075
9/4 Cloudy 5.843 6.596 8.627 13.537
9/5 Sunny 30.976 32.784 27.728 27.074
9/6 Rainy -14.586 -14.463 -8.082 -7.006
9/7 Sunny 30.956 32.794 32.455 32.468
Sum. 100.552 108.777 110.794 113.215
Revenue growth 8.180% 10.186% 12.593%

Household load parameters

Category Device Rated power/kw
Adjustable load Electric vehicle 3.5
Rice cooker 0.7
Electric hot water heater 3
Washing machine 0.5
Air conditioner 2.8
Rigid load TV 0.6*3
Others 2
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