Influence Analysis of Voltage Stochastic Error on Similarity Calculation
The operation data, such as voltage data whose similarity has been analyzed to verify distribution network topology(DNT). However, many influence factors will affect voltage data, such as voltage stochastic error, clocks asynchrony and so on. This will result in the inaccuracy of similarity calculat...
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Published in | 2019 IEEE International Conference on Energy Internet (ICEI) pp. 201 - 205 |
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Main Authors | , , , , , , |
Format | Conference Proceeding |
Language | English |
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01.05.2019
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Abstract | The operation data, such as voltage data whose similarity has been analyzed to verify distribution network topology(DNT). However, many influence factors will affect voltage data, such as voltage stochastic error, clocks asynchrony and so on. This will result in the inaccuracy of similarity calculation and make trouble to verify DNT. This paper mainly focuses on the influence of voltage stochastic error on similarity calculation. Correlation analysis, morphology similarity distance(MSD) and dynamic time warping(DTW) are used to calculate similarity. The results of the three methods which used to calculate similarity have been analyzed and compared. Results show that in order to avoid obtaining wrong similarity calculation results, the correlation analysis should be recommended compared with MSD and DTW. |
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AbstractList | The operation data, such as voltage data whose similarity has been analyzed to verify distribution network topology(DNT). However, many influence factors will affect voltage data, such as voltage stochastic error, clocks asynchrony and so on. This will result in the inaccuracy of similarity calculation and make trouble to verify DNT. This paper mainly focuses on the influence of voltage stochastic error on similarity calculation. Correlation analysis, morphology similarity distance(MSD) and dynamic time warping(DTW) are used to calculate similarity. The results of the three methods which used to calculate similarity have been analyzed and compared. Results show that in order to avoid obtaining wrong similarity calculation results, the correlation analysis should be recommended compared with MSD and DTW. |
Author | Zhou, Kunpeng Cao, Kan Wan, Li Tang, Zeyang Wang, Wenna Cai, Defu Yu, Xiaodong |
Author_xml | – sequence: 1 givenname: Zeyang surname: Tang fullname: Tang, Zeyang email: whu_tzy@126.com organization: Electric Power Research Institute State Grid Hubei Electric Power Co., Ltd – sequence: 2 givenname: Kunpeng surname: Zhou fullname: Zhou, Kunpeng organization: Electric Power Research Institute State Grid Hubei Electric Power Co., Ltd – sequence: 3 givenname: Kan surname: Cao fullname: Cao, Kan organization: Electric Power Research Institute State Grid Hubei Electric Power Co., Ltd – sequence: 4 givenname: Defu surname: Cai fullname: Cai, Defu organization: Electric Power Research Institute State Grid Hubei Electric Power Co., Ltd – sequence: 5 givenname: Li surname: Wan fullname: Wan, Li organization: Electric Power Research Institute State Grid Hubei Electric Power Co., Ltd – sequence: 6 givenname: Xiaodong surname: Yu fullname: Yu, Xiaodong organization: Electric Power Research Institute State Grid Hubei Electric Power Co., Ltd – sequence: 7 givenname: Wenna surname: Wang fullname: Wang, Wenna organization: Electric Power Research Institute State Grid Hubei Electric Power Co., Ltd |
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Snippet | The operation data, such as voltage data whose similarity has been analyzed to verify distribution network topology(DNT). However, many influence factors will... |
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SubjectTerms | Correlation correlation analysis Correlation coefficient DTW Morphology MSD Network topology Power systems similarity calculation stochastic error Topology |
Title | Influence Analysis of Voltage Stochastic Error on Similarity Calculation |
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