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Machine learning-based state prediction and optimization of orthogonal iterative abort strategy for unbalanced power grids

Lei Wu

Lei Wu

State Grid Lianyungang Power Supply CompanyLianyungang, China
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Wu, Lei
, 
Weixiang He

Weixiang He

State Grid Lianyungang Power Supply CompanyLianyungang, China
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He, Weixiang
 and 
Rui Sun

Rui Sun

State Grid Lianyungang Power Supply CompanyLianyungang, China
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Sun, Rui
  
Mar 21, 2025
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Published Online: Mar 21, 2025
Received: Nov 11, 2024
Accepted: Feb 24, 2025
DOI: https://doi.org/10.2478/amns-2025-0618
Keywords
© 2025 Lei Wu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

The grid current and work and reactive power of the equilibrium current control
The grid current and work and reactive power of the equilibrium current control

Figure 2.

The grid current and work and reactive power of our method
The grid current and work and reactive power of our method

Figure 3.

The similarity of history and the verification of the nuclear section
The similarity of history and the verification of the nuclear section

Figure 4.

The convergence of state prediction calculation
The convergence of state prediction calculation

Figure 5.

The difference of the initial calculation of redistributed trend and planning trend
The difference of the initial calculation of redistributed trend and planning trend

The results of the prediction of the operation section of the grid

Project Bus qualification (%) Line qualification (%) Voltage qualification (%)
Reforecast 99.31 89.81 98.66

The parameters of the simulation system

Parameter Value Parameter Value
Udc/V 500 C/μF 60
LS/mH 15 S*/(Kv·A) 15
Rs/Ω 0.2 f/Hz 60
Lg/mH 3

The comparison of the control of the balance of the grid

Time/s Current inequality Active fluctuation/W Reactive fluctuation/war
Balance current control Ours Balance current control Ours Balance current control Ours
0~0.1 0.02 0.02 50 50 70 70
0.1~0.2 0.08 0.08 838 611 1083 1002

Initial forecast results

Project Bus qualification (%) Line qualification (%) Voltage qualification (%)
Single cross matching 88.98 72.33 87.59
Similar day matching 96.21 85.05 99.38
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