A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP
Aiming at the low accuracy of traditional voltage sag source positioning methods, this paper proposes a new location method based on HHT and GA-BP. Firstly, the EEMD(ensemble empirical mode decomposition) Hilbert-Huang Transform (HHT) is used to process the voltage and current during the fault perio...
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2022-03-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202007250 |
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| _version_ | 1850037346060206080 |
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| author | Zhen YANG Yuchao MA Li LI Xin LI Ziying MA |
| author_facet | Zhen YANG Yuchao MA Li LI Xin LI Ziying MA |
| author_sort | Zhen YANG |
| collection | DOAJ |
| description | Aiming at the low accuracy of traditional voltage sag source positioning methods, this paper proposes a new location method based on HHT and GA-BP. Firstly, the EEMD(ensemble empirical mode decomposition) Hilbert-Huang Transform (HHT) is used to process the voltage and current during the fault period, and the effective eigenvalues - the current real part Icosθ and system trajectory slope k are obtained. Then the GA-BP neural network is used to classify the effective eigenvalues to get the initial location of the voltage sag source. And then, the moth to flame optimization (MFO) algorithm is used to solve the mathematical model of voltage and current of the fault line, so that the precise location of the voltage sag source is obtained. At the same time, the fault types are distinguished according to the relationship between the three-phase voltage amplitudes. Finally, a simulation model of a dual power supply system is used to verify the proposed method, and the simulation results show that the proposed method has high accuracy and precision in positioning and can precisely locate the voltage sag source. |
| format | Article |
| id | doaj-art-9b5a1e809a6f47619b1801b3b772ec02 |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2022-03-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-9b5a1e809a6f47619b1801b3b772ec022025-08-20T02:56:52ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492022-03-015539710410.11930/j.issn.1004-9649.202007250zgdl-54-7-yangzhenA Novel Method for Voltage Sag Source Location Based on HHT and GA-BPZhen YANG0Yuchao MA1Li LI2Xin LI3Ziying MA4Faculty of Electrical and Control Engineering, Liaoning Technical University, Xingcheng 125105, ChinaFaculty of Electrical and Control Engineering, Liaoning Technical University, Xingcheng 125105, ChinaFuxin Power Supply Company of State Grid Liaoning Power Co.,Ltd., Fuxin 123000, ChinaFaculty of Electrical and Control Engineering, Liaoning Technical University, Xingcheng 125105, ChinaTangshan Fengnan District Power supply Branch of State Grid Jibei Electric Power Co., Ltd., Tangshan 063000, ChinaAiming at the low accuracy of traditional voltage sag source positioning methods, this paper proposes a new location method based on HHT and GA-BP. Firstly, the EEMD(ensemble empirical mode decomposition) Hilbert-Huang Transform (HHT) is used to process the voltage and current during the fault period, and the effective eigenvalues - the current real part Icosθ and system trajectory slope k are obtained. Then the GA-BP neural network is used to classify the effective eigenvalues to get the initial location of the voltage sag source. And then, the moth to flame optimization (MFO) algorithm is used to solve the mathematical model of voltage and current of the fault line, so that the precise location of the voltage sag source is obtained. At the same time, the fault types are distinguished according to the relationship between the three-phase voltage amplitudes. Finally, a simulation model of a dual power supply system is used to verify the proposed method, and the simulation results show that the proposed method has high accuracy and precision in positioning and can precisely locate the voltage sag source.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202007250ensemble empirical mode decompositionhilbert transformationga-bp neural networkreal part of currentthe slope trajectory of the system |
| spellingShingle | Zhen YANG Yuchao MA Li LI Xin LI Ziying MA A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP Zhongguo dianli ensemble empirical mode decomposition hilbert transformation ga-bp neural network real part of current the slope trajectory of the system |
| title | A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP |
| title_full | A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP |
| title_fullStr | A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP |
| title_full_unstemmed | A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP |
| title_short | A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP |
| title_sort | novel method for voltage sag source location based on hht and ga bp |
| topic | ensemble empirical mode decomposition hilbert transformation ga-bp neural network real part of current the slope trajectory of the system |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202007250 |
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