Electric Power Construction

Parameter Identification Method for Distribution Systems with a High Proportion of Distributed Renewable Energy

WEI Wei, JI Wenwen, HUANG Xu, JIN Xiaolong, HUANG Pan

Electric Power Construction, 2025, 46(5): 96-111. DOI: 10.12204/j.issn.1000-7229.2025.05.009

场景	参数	e_Mean/%	e_Max/%	e_Var/%
2	X_T	3.77	4.61	0.73
2	k_T	3.17	4.40	0.72
3	X_T	5.53	6.79	0.75
3	k_T	5.21	6.43	0.72
4	X_T	7.28	8.36	0.84
4	k_T	7.21	8.44	0.72
5	X_T	8.46	9.87	0.91
5	k_T	8.22	9.44	0.73
6	X_T	9.47	10.97	1.70
6	k_T	8.83	10.60	1.58

Table 4 Transformer parameter metrics under scenario 2— 6

Other figure/table from this article

Fig. 1 Voltage fluctuation comparison chart before and after connecting distributed power sources
Fig. 2 Schematic diagram of distribution system CT installation location
Fig. 3 Distribution line model
Fig. 4 Distribution Transformer Model
Fig. 5 Distribution system topology schematic
Fig. 6 Flowchart of AEKF algorithm for parameter identification
Fig. 7 Temperature variation curve on a certain day in tianjin
Table 1 Scenario Setting Situation
Table 2 Line parameter identification index results under scenario 1
Table 3 Transformer parameter identification index results under scenario 1
Fig. 8 Comparison of e_Mean for R
Fig. 9 Comparison of e_Mean for X
Fig. 10 Comparison of e_Mean for B
Fig. 11 Comparison of e_Max for R
Fig. 12 Comparison of e_Max for X
Fig. 13 Comparison of e_Max for B
Fig. 14 Comparison of e_Var for R
Fig. 15 Comparison of e_Var for X
Fig. 16 Comparison of e_Varfor B
Fig. 17 Time comparison
Fig. 18 Comparison of e_Mean for R under different methods
Fig. 19 Comparison of e_Mean for X under different methods
Fig. 20 Comparison of e_Mean for B under different methods
Table 5 Transformer e_Mean under scenarios 7—9
Fig. 21 Comparison of e_Mean for voltage magnitude
Fig. 22 Comparison of e_Mean for voltage angle
Fig. A1 Topology structure of a 10 kV system in Tianjin
Fig. A2 Calculation of active power P and reactive power Q with measurement error percentage