In order to solve the problem of online inspection of distribution station operation and maintenance, a design method of automatic inspection system for smart distribution station based on cloud-edge collaboration is proposed. Firstly, the overall architecture of the smart distribution station automatic inspection system based on cloud-edge collaboration is designed. Then, the system software architecture is designed in detail through three major parts and 12 functions including cloud resource layer, system platform layer and application layer. Secondly, the hardware architecture of the smart station terminal is designed in detail through the construction of the secure access area and the configuration of the virtual server of the cloud master station. Thirdly, based on artificial intelligence speech recognition technology, the overall architecture of the voice inspection assistant is described. Finally, the software development and application show that there is important practical significance in improving the intelligent maintenance level of distribution network.
In order to solve the problem of identification and verification of topological relationship between feeder and distribution transformer in distribution network, an identification method of the feeder-transformer connection relationship in distribution network based on fault outage information inversion is proposed. Firstly, the identification model of feeder-transformer connection relationship is established through the single fault outage information set. Then, through the identification model of feeder-transformer connection relationship, the feeder fault standard outage information set and feeder fault real-time outage information set are established. Finally, the distribution transformer fault connection information set and distribution transformer missing connection information set are determined by the difference set between the feeder fault standard outage information set and feeder fault real-time outage information set. The example analysis shows that this method can identify the feeder-transformer relationship of distribution network based on the topology information and real-time fault alarm information of DMS. The method is simple and reliable, can better meet the actual needs of the site, and has good promotion value.
In order to solve the problem of long execution time of complex dispatching instruction ticket, an automatic generation method of parallel strategy for dispatching instructions in distribution network based on clustering and layering is proposed. Firstly, the associated device cluster model is established. The operating devices in different associated device clusters can be executed in parallel, and the devices in the same associated device cluster can be executed in hierarchical order. Secondly, based on the method of cluster analysis, the device parallel operation cluster adjacency table DPCT is generated. Finally, the parallel strategy generation of scheduling instructions based on layering is proposed, and a detailed calculation formula is given. The example analysis shows that the method described in this paper can significantly improve the efficiency of the rapid execution of complex large-scale scheduling instruction tickets. It can better meet the needs of onsite dispatching operation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.