Diagnosis of Deviation Indicators of Distribution Network Engineering Based on Fuzzy Petri Net
With the rapid development of distribution network engineering in recent years, the data of various control indicators for construction of distribution network projects has also become more diverse and complex. At the same time, it is hard to identify the deviation indicators of the distribution net...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2022-07-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202011033 |
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| author | Haozheng YU Zhaolun PAN Ke LI Peng ZHOU Xinzhi GUO Huijun SUN Jinxiong YU Cunbin LI |
| author_facet | Haozheng YU Zhaolun PAN Ke LI Peng ZHOU Xinzhi GUO Huijun SUN Jinxiong YU Cunbin LI |
| author_sort | Haozheng YU |
| collection | DOAJ |
| description | With the rapid development of distribution network engineering in recent years, the data of various control indicators for construction of distribution network projects has also become more diverse and complex. At the same time, it is hard to identify the deviation indicators of the distribution network projects due to the limited data processing capabilities, which leads to poor identification and location of some long-standing deviation indicators in the distribution network projects. Based on the theory of fuzzy Petri net, a diagnosis model is designed for the deviation indicators of distribution network projects, and the method for determining the real-time data of each indicator in the process of construction of the distribution network projects is analyzed. A case study is carried out for determining the deviation indicators of the distribution network project, which can provide a good reference for project management personnel to manage the distribution network engineering in a timely and effective manner. |
| format | Article |
| id | doaj-art-92bc74d567734a42bf82fa31d5510976 |
| institution | OA Journals |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2022-07-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-92bc74d567734a42bf82fa31d55109762025-08-20T02:05:19ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492022-07-01557677310.11930/j.issn.1004-9649.202011033zgdl-55-yuhaozhengDiagnosis of Deviation Indicators of Distribution Network Engineering Based on Fuzzy Petri NetHaozheng YU0Zhaolun PAN1Ke LI2Peng ZHOU3Xinzhi GUO4Huijun SUN5Jinxiong YU6Cunbin LI7State Grid Henan Electric Power Co., Ltd. Economic and Technology Research Institute, Zhengzhou 450000, ChinaNorth China Electric Power University, Beijing 102206, ChinaState Grid Henan Electric Power Co., Ltd. Economic and Technology Research Institute, Zhengzhou 450000, ChinaState Grid Henan Electric Power Co., Ltd. Zhengzhou 450000, ChinaState Grid Henan Electric Power Co., Ltd. Economic and Technology Research Institute, Zhengzhou 450000, ChinaNorth China Electric Power University, Beijing 102206, ChinaNorth China Electric Power University, Beijing 102206, ChinaNorth China Electric Power University, Beijing 102206, ChinaWith the rapid development of distribution network engineering in recent years, the data of various control indicators for construction of distribution network projects has also become more diverse and complex. At the same time, it is hard to identify the deviation indicators of the distribution network projects due to the limited data processing capabilities, which leads to poor identification and location of some long-standing deviation indicators in the distribution network projects. Based on the theory of fuzzy Petri net, a diagnosis model is designed for the deviation indicators of distribution network projects, and the method for determining the real-time data of each indicator in the process of construction of the distribution network projects is analyzed. A case study is carried out for determining the deviation indicators of the distribution network project, which can provide a good reference for project management personnel to manage the distribution network engineering in a timely and effective manner.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202011033fuzzy petri netdistribution network engineeringproject managementdeviation indicator diagnosisreal-time data |
| spellingShingle | Haozheng YU Zhaolun PAN Ke LI Peng ZHOU Xinzhi GUO Huijun SUN Jinxiong YU Cunbin LI Diagnosis of Deviation Indicators of Distribution Network Engineering Based on Fuzzy Petri Net Zhongguo dianli fuzzy petri net distribution network engineering project management deviation indicator diagnosis real-time data |
| title | Diagnosis of Deviation Indicators of Distribution Network Engineering Based on Fuzzy Petri Net |
| title_full | Diagnosis of Deviation Indicators of Distribution Network Engineering Based on Fuzzy Petri Net |
| title_fullStr | Diagnosis of Deviation Indicators of Distribution Network Engineering Based on Fuzzy Petri Net |
| title_full_unstemmed | Diagnosis of Deviation Indicators of Distribution Network Engineering Based on Fuzzy Petri Net |
| title_short | Diagnosis of Deviation Indicators of Distribution Network Engineering Based on Fuzzy Petri Net |
| title_sort | diagnosis of deviation indicators of distribution network engineering based on fuzzy petri net |
| topic | fuzzy petri net distribution network engineering project management deviation indicator diagnosis real-time data |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202011033 |
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