Harmonic Source Location and Identification in Radial Distribution Feeders: An Approach Based on Particle Swarm Optimization Algorithm
| العنوان: | Harmonic Source Location and Identification in Radial Distribution Feeders: An Approach Based on Particle Swarm Optimization Algorithm |
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| المؤلفون: | Mario Oleskovicz, Ricardo A. S. Fernandes, Ivan G.N. Silva |
| المصدر: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Computer science, media_common.quotation_subject, Particle swarm optimization, Radial distribution, AC power, Inertia, Computer Science Applications, Identification (information), Control and Systems Engineering, Harmonic, ENGENHARIA ELÉTRICA, Power quality, Electrical and Electronic Engineering, Algorithm, Information Systems, media_common |
| الوصف: | The location and identification of harmonic sources in radial distribution feeders are essential tasks since they improve the power quality monitoring and assist in mitigating issues resulting from harmonic distortions. Thus, this paper presents an approach based on particle swarm optimization algorithm with adaptive and individual inertia, which was used to locate and estimate the parameters (harmonic magnitudes, real and reactive power) of the harmonic source with the highest contribution. The proposed approach needs only 20 cycles in steady-state, considering the harmonic source pre-and post-connection as input data. In addition, this approach uses few meters to reduce the cost of investment. As a result, it was possible to locate the harmonic source, in the IEEE 34-bus test feeder, with absolute errors less than 1.78 km, using only three meters. Moreover, the harmonic source identification algorithm reached mean percentage relative errors of less than 3.7%. |
| تدمد: | 1941-0050 1551-3203 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6c188901eb550ae50dec373f79ee4b9 https://doi.org/10.1109/tii.2021.3108681 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....a6c188901eb550ae50dec373f79ee4b9 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19410050 15513203 |
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