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Dynamic Equivalence Method for Large-scale Power Systems Based on the Random Forest Algorithm
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Aoyu LEI1, Jun LI2, Yong MEI1, Ning TONG2, Yu WANG2, Wei WU3
Electric Drive | 2025, 55(4) : 26 - 32
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Electric Drive | 2025, 55(4): 26-32
Dynamic Equivalence Method for Large-scale Power Systems Based on the Random Forest Algorithm
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Aoyu LEI1, Jun LI2, Yong MEI1, Ning TONG2, Yu WANG2, Wei WU3
Affiliations
  • 1 CSG Power Dispatching Control Center,Guangzhou 510663,Guangdong,China
  • 2 School of Automation,Guangdong University of Technology,Guangzhou 510006,Guangdong,China
  • 3 CSG Electrical Power Research Institute,Guangzhou 510663,Guangdong,China
Published: 2025-04-20 doi: 10.19457/j.1001-2095.dqcd25254
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The stability analysis of power system transient voltage,power angle,and frequency is often based on short-time-scale electromechanical transient simulation,which requires a relatively accurate large-scale simulation model,which not only has low simulation efficiency but also takes a long time,thus giving rise to the demand for dynamic equivalence of large power grids. However,as the proportion of new energy increases,the power system gradually presents some unique characteristics of new power systems,with more significant differences in system inertia,frequency spatiotemporal distribution,and frequency modulation resource distribution. Conventional dynamic equivalence methods based on slow coherence theory are gradually difficult to ensure accuracy. To solve these problems,based on previous work,a large power grid dynamic equivalence method based on random forest algorithm was proposed. First,the large power system was divided into the study area and the external area. Then the external area on the opposite side of the study area tie line was equivalent to several nonlinear dynamic loads controlled by the random forest algorithm. The random forest algorithm was trained using the original model tie line's voltage/reactive power and frequency/active power relationships. A joint simulation model based on PSS/E and Matlab platform was established to achieve equivalent simplified electromechanical transient simulation,and Python environment was used to achieve information exchange and simulation control between them. Simplified results for the Northeastern United States power grid was presented and compared them with existing methods. The results show that the proposed method can effectively balance simulation accuracy and control stability.

large-scale power system  /  dynamic equivalence  /  random forest algorithm  /  parallel simulation
Aoyu LEI, Jun LI, Yong MEI, Ning TONG, Yu WANG, Wei WU. Dynamic Equivalence Method for Large-scale Power Systems Based on the Random Forest Algorithm[J]. Electric Drive, 2025 , 55 (4) : 26 -32 . DOI: 10.19457/j.1001-2095.dqcd25254
Year 2025 volume 55 Issue 4
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Article Info
doi: 10.19457/j.1001-2095.dqcd25254
  • Receive Date:2023-07-18
  • Online Date:2025-10-30
  • Published:2025-04-20
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  • Received:2023-07-18
  • Revised:2023-07-21
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Affiliations
    1 CSG Power Dispatching Control Center,Guangzhou 510663,Guangdong,China
    2 School of Automation,Guangdong University of Technology,Guangzhou 510006,Guangdong,China
    3 CSG Electrical Power Research Institute,Guangzhou 510663,Guangdong,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
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种数
Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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