摘要
As an important part of the construction of smart grids, distribution network fault location technology has received widespread attention to improve the level of grid automation. However, the complex structure and poor measurement conditions of distribution network have seriously restricted its application. By applying the synchronous vector information of Phasor Measurement Unit (PMU), this article proposes an optimization-based method to determine the fault location for distribution networks and realizes the fault location of various types. In this method, the voltage and current synchronous vector information provided by the PMU constitutes the optimization objective functions based on the voltage-current relationship. By solving these functions, the fault section and the accurate fault location can be obtained. In addition, the effectiveness of the proposed method when PMU information is missing is also discussed. The simulation results of PSCAD software show that the method is effective for various fault types in distribution network with distributed generation, and is still possible to provide effective fault section and accurate fault location in case of information loss.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings - 10th China International Conference on Electricity Distribution |
| 主期刊副标题 | Innovative Distribution Systems for Carbon Neurality, CICED 2022 |
| 出版商 | IEEE Computer Society |
| 页 | 1361-1365 |
| 页数 | 5 |
| ISBN(电子版) | 9781665452687 |
| DOI | |
| 出版状态 | 已出版 - 2022 |
| 活动 | 10th China International Conference on Electricity Distribution, CICED 2022 - Changsha, 中国 期限: 7 9月 2022 → 8 9月 2022 |
丛书
| 姓名 | China International Conference on Electricity Distribution, CICED |
|---|---|
| 卷 | 2022-September |
| ISSN(印刷版) | 2161-7481 |
| ISSN(电子版) | 2161-749X |
会议
| 会议 | 10th China International Conference on Electricity Distribution, CICED 2022 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Changsha |
| 时期 | 7/09/22 → 8/09/22 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 7 经济适用的清洁能源
学术指纹
探究 'Optimization Based Distribution Network Fault Location Method Using PMU Information' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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