Quantification of Non-stationary Power Quality Events: A New Index Based on $\ell_p$-norm of Energy
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866912073407004672 |
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| author | Hafiz, Faizal Naik, Chirag La Torre, Davide Swain, Akshya |
| author_facet | Hafiz, Faizal Naik, Chirag La Torre, Davide Swain, Akshya |
| contents | The present study proposes a new index to quantify the severity of non-stationary power quality (PQ) disturbance events. In particular, the severity of PQ events is estimated from their energy distribution in temporal-frequency space. The index essentially measures the $\ell_p$-norm between the energy distributions of an event and the nominal voltage signal. The efficacy of the new index is demonstrated considering a wide class of major non-stationary PQ events, including sag, swell, interruptions, oscillatory transients, and simultaneous events. The results of this investigation, with simulated, real and experimental data, convincingly demonstrate that the proposed index is generic, monotonic, easy to interpret, and can accurately quantify the severity of non-stationary events. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_11442 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Quantification of Non-stationary Power Quality Events: A New Index Based on $\ell_p$-norm of Energy Hafiz, Faizal Naik, Chirag La Torre, Davide Swain, Akshya Systems and Control The present study proposes a new index to quantify the severity of non-stationary power quality (PQ) disturbance events. In particular, the severity of PQ events is estimated from their energy distribution in temporal-frequency space. The index essentially measures the $\ell_p$-norm between the energy distributions of an event and the nominal voltage signal. The efficacy of the new index is demonstrated considering a wide class of major non-stationary PQ events, including sag, swell, interruptions, oscillatory transients, and simultaneous events. The results of this investigation, with simulated, real and experimental data, convincingly demonstrate that the proposed index is generic, monotonic, easy to interpret, and can accurately quantify the severity of non-stationary events. |
| title | Quantification of Non-stationary Power Quality Events: A New Index Based on $\ell_p$-norm of Energy |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2410.11442 |