Power Identification of Distributed Generation Based on Back-Propagation Neural Network
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 nece...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/32/e3sconf_posei2021_01037.pdf |
| _version_ | 1818647861438447616 |
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| author | Peng Fang Liu Yang Wang Feng Li Chong Wang Luhao Cheng Xingong Zong Xiju |
| author_facet | Peng Fang Liu Yang Wang Feng Li Chong Wang Luhao Cheng Xingong Zong Xiju |
| author_sort | Peng Fang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T01:09:16Z |
| format | Article |
| id | doaj.art-be4c352a5cca4cbe8447bfd70df2a307 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-17T01:09:16Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-be4c352a5cca4cbe8447bfd70df2a3072022-12-21T22:09:11ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012560103710.1051/e3sconf/202125601037e3sconf_posei2021_01037Power Identification of Distributed Generation Based on Back-Propagation Neural NetworkPeng Fang0Liu Yang1Wang Feng2Li Chong3Wang Luhao4Cheng Xingong5Zong Xiju6School of Electrical Engineering, University of JinanState Grid Shandong Electric Power Research InstituteState Grid Shandong Electric Power Research InstituteState Grid Intelligence Technology Co., LTDSchool of Electrical Engineering, University of JinanSchool of Electrical Engineering, University of JinanSchool of Electrical Engineering, University of JinanDistributed 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/32/e3sconf_posei2021_01037.pdf |
| spellingShingle | Peng Fang Liu Yang Wang Feng Li Chong Wang Luhao Cheng Xingong Zong Xiju Power Identification of Distributed Generation Based on Back-Propagation Neural Network E3S Web of Conferences |
| title | Power Identification of Distributed Generation Based on Back-Propagation Neural Network |
| title_full | Power Identification of Distributed Generation Based on Back-Propagation Neural Network |
| title_fullStr | Power Identification of Distributed Generation Based on Back-Propagation Neural Network |
| title_full_unstemmed | Power Identification of Distributed Generation Based on Back-Propagation Neural Network |
| title_short | Power Identification of Distributed Generation Based on Back-Propagation Neural Network |
| title_sort | power identification of distributed generation based on back propagation neural network |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/32/e3sconf_posei2021_01037.pdf |
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