Identification Method of Dynamic Parameters of Distribution Network Lines
Accurate network parameters are of great importance for the accurate control of the power distribution network (PDN). In fact, the line parameters of the PDN are always affected by external operating conditions. However, most of the line parameters in the PDN account are static parameters. In order...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2022/5358965 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832568124472295424 |
|---|---|
| author | Bin Li Jiayang Ma Ke Hu Ye Hai Jiang Hao Jiao Jinming Chen |
| author_facet | Bin Li Jiayang Ma Ke Hu Ye Hai Jiang Hao Jiao Jinming Chen |
| author_sort | Bin Li |
| collection | DOAJ |
| description | Accurate network parameters are of great importance for the accurate control of the power distribution network (PDN). In fact, the line parameters of the PDN are always affected by external operating conditions. However, most of the line parameters in the PDN account are static parameters. In order to obtain the dynamic parameters that reflect the line operating condition, this study presents a method that uses only the RMS voltage of the first section of the line and the RMS voltage and power at the low-voltage side of the transformer. This study introduces the processing method of abnormal measurement data, constructs a derivative-free identification equation represented by a matrix, and uses the designed loss function combined with a heuristic method to solve the equation. An actual feeder is used in the experimental part. The experimental data show that the method has some antipower noise ability, and the identification accuracy of this method is better than that of the genetic algorithm and random search algorithm. |
| format | Article |
| id | doaj-art-0ced585b82064e7d9b00c9c5f4d518f3 |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-0ced585b82064e7d9b00c9c5f4d518f32025-02-03T00:59:36ZengWileyInternational Transactions on Electrical Energy Systems2050-70382022-01-01202210.1155/2022/5358965Identification Method of Dynamic Parameters of Distribution Network LinesBin Li0Jiayang Ma1Ke Hu2Ye Hai Jiang3Hao Jiao4Jinming Chen5Nanjing Institute of TechnologyNanjing Institute of TechnologyChongqing University of Posts and TelecommunicationsNanjing Institute of TechnologyState Grid Jiangsu Electric Power Co Ltd.State Grid Jiangsu Electric Power Co Ltd.Accurate network parameters are of great importance for the accurate control of the power distribution network (PDN). In fact, the line parameters of the PDN are always affected by external operating conditions. However, most of the line parameters in the PDN account are static parameters. In order to obtain the dynamic parameters that reflect the line operating condition, this study presents a method that uses only the RMS voltage of the first section of the line and the RMS voltage and power at the low-voltage side of the transformer. This study introduces the processing method of abnormal measurement data, constructs a derivative-free identification equation represented by a matrix, and uses the designed loss function combined with a heuristic method to solve the equation. An actual feeder is used in the experimental part. The experimental data show that the method has some antipower noise ability, and the identification accuracy of this method is better than that of the genetic algorithm and random search algorithm.http://dx.doi.org/10.1155/2022/5358965 |
| spellingShingle | Bin Li Jiayang Ma Ke Hu Ye Hai Jiang Hao Jiao Jinming Chen Identification Method of Dynamic Parameters of Distribution Network Lines International Transactions on Electrical Energy Systems |
| title | Identification Method of Dynamic Parameters of Distribution Network Lines |
| title_full | Identification Method of Dynamic Parameters of Distribution Network Lines |
| title_fullStr | Identification Method of Dynamic Parameters of Distribution Network Lines |
| title_full_unstemmed | Identification Method of Dynamic Parameters of Distribution Network Lines |
| title_short | Identification Method of Dynamic Parameters of Distribution Network Lines |
| title_sort | identification method of dynamic parameters of distribution network lines |
| url | http://dx.doi.org/10.1155/2022/5358965 |
| work_keys_str_mv | AT binli identificationmethodofdynamicparametersofdistributionnetworklines AT jiayangma identificationmethodofdynamicparametersofdistributionnetworklines AT kehu identificationmethodofdynamicparametersofdistributionnetworklines AT yehaijiang identificationmethodofdynamicparametersofdistributionnetworklines AT haojiao identificationmethodofdynamicparametersofdistributionnetworklines AT jinmingchen identificationmethodofdynamicparametersofdistributionnetworklines |