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Utility Harmonic Impedance Estimation Method Considering Time-varying Characteristics of Background Harmonics
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Xiaoming WANG1, Hao ZHENG2, Wenguang ZHAO1, Yi WEN3, Mingxing ZHU  Senior Member, CPSS3, Tong DING3
Journal of Power Supply | 2025, 23(3) : 36 - 46
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Journal of Power Supply | 2025, 23(3): 36-46
• Special Issue on Analysis and Control of Power Quality in New Power Systems •
Utility Harmonic Impedance Estimation Method Considering Time-varying Characteristics of Background Harmonics
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Xiaoming WANG1, Hao ZHENG2, Wenguang ZHAO1, Yi WEN3, Mingxing ZHU  Senior Member, CPSS3, Tong DING3
Affiliations
  • 1.Electric Power Research Institute, State Grid Anhui Electric Power Co., Ltd., Hefei 230601, China
  • 2.State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China
  • 3.School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
Published: 2025-05-30 doi: 10.13234/j.issn.2095-2805.2025.3.36
Outline
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An accurate estimation of utility harmonic impedance is the key to harmonic source determination. Most of the existing methods are based on the premise that the background harmonics keep constant or fluctuate smoothly. However, the background harmonic voltage or utility harmonic impedance generally exhibits unsmooth fluctuation patterns in the novel power system, and there are even abrupt changes in some time sections, which leads to large calculation errors in the existing methods. To solve this problem, an estimation method for utility harmonic impedance considering the time-varying characteristics of background harmonics is proposed. First, this method identifies multiple abrupt change points of background harmonics by means of the binary sliding T maximum, and the measured harmonic data at a point of common coupling (PCC) is divided into several intervals of continuous unsmooth fluctuation accordingly. Then, with the consideration of the small variation of background harmonics between adjacent sampling points, utility harmonic impedance estimation is carried out based on the principle of comprehensive minimum fluctuation within each data interval, and the matrix sparse technique is introduced to reduce the computational time complexity. Finally, simulations and field data are adopted to conduct a comparative analysis, and results indicate that compared with the existing methods, the proposed method can more accurately estimate the utility harmonic impedance and demonstrate a higher computational efficiency.

Utility harmonic impedance  /  abrupt change in background harmonics  /  continuous unsmooth fluctuation  /  binary sliding T maximum  /  comprehensive minimum fluctuation
王小明, 郑浩, 赵文广, 文一, 朱明星中国电源学会高级会员, 丁同. 计及背景谐波时变特征的系统谐波阻抗估计方法. 电源学报, 2025 , 23 (3) : 36 -46 . DOI: 10.13234/j.issn.2095-2805.2025.3.36
Xiaoming WANG, Hao ZHENG, Wenguang ZHAO, Yi WEN, Mingxing ZHU, Tong DING. Utility Harmonic Impedance Estimation Method Considering Time-varying Characteristics of Background Harmonics[J]. Journal of Power Supply, 2025 , 23 (3) : 36 -46 . DOI: 10.13234/j.issn.2095-2805.2025.3.36
  • Science and Technology Program of State Grid Corporation of China(52120524000X)
Year 2025 volume 23 Issue 3
48
7
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.3.36
  • Receive Date:2024-10-21
  • Online Date:2026-10-26
  • Published:2025-05-30
Article Data
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History
  • Received:2024-10-21
  • Revised:2024-11-22
  • Accepted:2024-12-05
Funding
Science and Technology Program of State Grid Corporation of China(52120524000X)
Affiliations
    1.Electric Power Research Institute, State Grid Anhui Electric Power Co., Ltd., Hefei 230601, China
    2.State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China
    3.School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
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Percentage of
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属
Genus
种数
Number of
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Percentage of total
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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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