Synchronized measurement method for urban distribution networks based on proportional-integral control
In the context of the rising prevalence of renewable energy, the need for precise and synchronized measurements in urban distribution networks has become increasingly critical. Conventional synchronization techniques, which predominantly depend on Global Navigation Satellite System (GNSS) timing sig...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1378913/full |
| _version_ | 1797291934467751936 |
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| author | Xiaodong Yin Jicheng Yu Siyuan Liang Junjie Liu Jian Wang Cheng Liu Wangwang Ding |
| author_facet | Xiaodong Yin Jicheng Yu Siyuan Liang Junjie Liu Jian Wang Cheng Liu Wangwang Ding |
| author_sort | Xiaodong Yin |
| collection | DOAJ |
| description | In the context of the rising prevalence of renewable energy, the need for precise and synchronized measurements in urban distribution networks has become increasingly critical. Conventional synchronization techniques, which predominantly depend on Global Navigation Satellite System (GNSS) timing signals, are often plagued by significant sampling time errors. Addressing this challenge, this study introduces an innovative automatic synchronization measurement method employing proportional-integral (PI) control. This method is composed of three integral components: the monitoring of local clock phases via pulses per second (PPS) signals, modulation of the clock phase through a PI controller, and the estimation of grid phasors from the synchronized sampled data. The test results of this method on a hardware platform demonstrate its capability to significantly reduce the sampling error from 2 × 10−3 V to an impressive 1 × 10−5 V, while also meeting the requirements of the synchronized phasor measurement standards outlined in C37.118.1. These advancements underscore the significant potential of PI-controlled simultaneous sampling in enhancing the operational efficiency and reliability of urban distribution networks, particularly in environments with a high integration of renewable energy sources. |
| first_indexed | 2024-03-07T19:44:56Z |
| format | Article |
| id | doaj.art-ee5b2c25d34f49008f27f7efd20e10be |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-07T19:44:56Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-ee5b2c25d34f49008f27f7efd20e10be2024-02-29T04:30:29ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-02-011210.3389/fenrg.2024.13789131378913Synchronized measurement method for urban distribution networks based on proportional-integral controlXiaodong Yin0Jicheng Yu1Siyuan Liang2Junjie Liu3Jian Wang4Cheng Liu5Wangwang Ding6China Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaIn the context of the rising prevalence of renewable energy, the need for precise and synchronized measurements in urban distribution networks has become increasingly critical. Conventional synchronization techniques, which predominantly depend on Global Navigation Satellite System (GNSS) timing signals, are often plagued by significant sampling time errors. Addressing this challenge, this study introduces an innovative automatic synchronization measurement method employing proportional-integral (PI) control. This method is composed of three integral components: the monitoring of local clock phases via pulses per second (PPS) signals, modulation of the clock phase through a PI controller, and the estimation of grid phasors from the synchronized sampled data. The test results of this method on a hardware platform demonstrate its capability to significantly reduce the sampling error from 2 × 10−3 V to an impressive 1 × 10−5 V, while also meeting the requirements of the synchronized phasor measurement standards outlined in C37.118.1. These advancements underscore the significant potential of PI-controlled simultaneous sampling in enhancing the operational efficiency and reliability of urban distribution networks, particularly in environments with a high integration of renewable energy sources.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1378913/fullproportional-integral controlsynchronized samplingoptimizing sampling accuracysynchronized phasor estimationurban distribution networks |
| spellingShingle | Xiaodong Yin Jicheng Yu Siyuan Liang Junjie Liu Jian Wang Cheng Liu Wangwang Ding Synchronized measurement method for urban distribution networks based on proportional-integral control Frontiers in Energy Research proportional-integral control synchronized sampling optimizing sampling accuracy synchronized phasor estimation urban distribution networks |
| title | Synchronized measurement method for urban distribution networks based on proportional-integral control |
| title_full | Synchronized measurement method for urban distribution networks based on proportional-integral control |
| title_fullStr | Synchronized measurement method for urban distribution networks based on proportional-integral control |
| title_full_unstemmed | Synchronized measurement method for urban distribution networks based on proportional-integral control |
| title_short | Synchronized measurement method for urban distribution networks based on proportional-integral control |
| title_sort | synchronized measurement method for urban distribution networks based on proportional integral control |
| topic | proportional-integral control synchronized sampling optimizing sampling accuracy synchronized phasor estimation urban distribution networks |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1378913/full |
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