دورية أكاديمية
Power Identification of Distributed Generation Based on Back-Propagation Neural Network
| العنوان: | Power Identification of Distributed Generation Based on Back-Propagation Neural Network |
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| المؤلفون: | Peng Fang, Liu Yang, Wang Feng, Li Chong, Wang Luhao, Cheng Xingong, Zong Xiju |
| المصدر: | E3S Web of Conferences, Vol 256, p 01037 (2021) |
| بيانات النشر: | EDP Sciences, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Environmental sciences |
| مصطلحات موضوعية: | Environmental sciences, GE1-350 |
| الوصف: | Distributed generator (DG) is widely used and applied due to the energy and environment issues. Distributed photovoltaic generation is a typical kind of DG. Its output power is random and fluctuant, which has great influence on the safe, stable and economic operation of power system. Thus it is necessary to identify the power generated by the distributed photovoltaic generation. This paper proposes a power identification method based on BP Neural Network. The sample data comes from simulation by PSCAD and consists of current and active power that are measured in the branch of distributed network connected with DG and active power generated by the DG. The training is based on Matlab. Simulation results verify that the BP Neural Network can identify active power of DG accurately. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English French |
| تدمد: | 2267-1242 |
| العلاقة: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/32/e3sconf_posei2021_01037.pdfTest; https://doaj.org/toc/2267-1242Test |
| DOI: | 10.1051/e3sconf/202125601037 |
| الوصول الحر: | https://doaj.org/article/be4c352a5cca4cbe8447bfd70df2a307Test |
| رقم الانضمام: | edsdoj.be4c352a5cca4cbe8447bfd70df2a307 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22671242 |
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| DOI: | 10.1051/e3sconf/202125601037 |