Fault Diagnosis Knowledge Reasoning of Switching Network in Distributed Generation Based on Petri Net

  • Ziquan Liu Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China
  • Xueqiong Zhu Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China
  • Jingtan Ma Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China
  • Hui Fu State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China
  • Ke Zhao Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China
  • Chengbo Hu Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China
Keywords: Knowledge Reasoning, Distributed Generation, Petri Net, Fault Diagnosis

Abstract

Telephone network based on IMS technology has been widely applied in power production and dispatching communication, especially in distributed power stations. Analysis and positioning failure of IMS network is arduous, because it’s dependent on IP data communication network. In this paper, we first introduced IMS switching network architecture and distributed generation communication network architecture, analyzed and summarized all kinds of network malfunction. Combining typical IMS network fault connection relations, we introduced an improved Petri net fault handling model and reasoning method. The diagnosis and positioning results could reflect the defects of equipment logic functions. This method on fault diagnosis and location of substation network has been proved to be effective through practical application.

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Author Biographies

Ziquan Liu, Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China

Ziquan Liu is an engineer of Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd. He received his Ph.D. degree of Huazhong University of Science and Technology. He studies in image recognition technology and power equipment status evaluation.

Xueqiong Zhu, Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China

Xueqiong Zhu is an engineer of Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd. He received his Ph.D. degree of Southeast University (SEU). He studies in electric Internet of Things and Artificial Intelligence.

Jingtan Ma, Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China

Jingtan Ma is an engineer of Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd. He received his Ph.D. degree of Xi’an Jiaotong University. He studies in research on state evaluation technology of switching equipment.

Hui Fu, State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China

Hui Fu is an engineer of State Grid Jiangsu Electric Power Co., Ltd. She received her master degree of South China University of Technology (SCUT).She studies in power equipment condition evaluation.

Ke Zhao, Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China

Ke Zhao is an engineer of Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd. He received his master degree of Tsinghua University. He studies in switching equipment condition evaluation.

Chengbo Hu, Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 210000, China

Chengbo Hu is a senior engineer of Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd. deputy director of Power Transmission and Transformation Technology Center as well as deputy director of Artificial Intelligence Laboratory of Power System of State Grid Corporation (Jiangsu).

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Published
2021-11-18
Section
Renewable Power and Energy Systems