<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper discusses the design and implementation of the grid intelligent micro-application, involving two core aspects: technical architecture and data architecture. First, the article successfully constructs the basic framework of grid intelligent micro-application, which realizes distribution network equipment’s inspection, operation, and maintenance control functions. It further establishes a collaborative regulation model for digital distribution network micro-applications, focuses on calculating and analyzing distribution banding operations, and proposes a precise specification for the methods easily confused in actual operations. The focus of the study includes comparative analysis of voltage and current overrun probabilities before and after regulation to assess the effectiveness of micro-applications in load forecasting and anomaly warning. The results show that using digital distribution micro-applications significantly reduced the likelihood of overruns at most weak points of the grid by an average of 68%, while the year-on-year reduction of anomalies reached 35%. In addition, the micro-application achieved over 90% accuracy in charge prediction, an impressive performance. By simplifying the distribution operation process, this study significantly improves the feedback speed and efficiency of field operation information, which is of great practical significance and application value for the digital construction of power grid distribution network.</p>
</abstract>

This paper discusses the design and implementation of the grid intelligent micro-application, involving two core aspects: technical architecture and data architecture. First, the article successfully constructs the basic framework of grid intelligent micro-application, which realizes distribution network equipment’s inspection, operation, and maintenance control functions. It further establishes a collaborative regulation model for digital distribution network micro-applications, focuses on calculating and analyzing distribution banding operations, and proposes a precise specification for the methods easily confused in actual operations. The focus of the study includes comparative analysis of voltage and current overrun probabilities before and after regulation to assess the effectiveness of micro-applications in load forecasting and anomaly warning. The results show that using digital distribution micro-applications significantly reduced the likelihood of overruns at most weak points of the grid by an average of 68%, while the year-on-year reduction of anomalies reached 35%. In addition, the micro-application achieved over 90% accuracy in charge prediction, an impressive performance. By simplifying the distribution operation process, this study significantly improves the feedback speed and efficiency of field operation information, which is of great practical significance and application value for the digital construction of power grid distribution network.

Research on Digital Distribution Network Micro-application and Precise Control of Distribution Operations Based on Grid Resource Business Center

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper discusses the design and implementation of the grid intelligent micro-application, involving two core aspects: technical architecture and data...

Research on Digital Distribution Network Micro-application and Precise Control of Distribution Operations Based on Grid Resource Business Center

Pubblicato online: 26 feb 2024

Pagine: -

Ricevuto: 10 gen 2024

Accettato: 17 gen 2024

DOI: https://doi.org/10.2478/amns-2024-0479

Parole chiave
Distribution network micro-application, Distribution operation, Load forecasting, Anomaly warning, cooperative regulation and control

© 2024 Yi Xu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on Digital Distribution Network Micro-application and Precise Control of Distribution Operations Based on Grid Resource Business Center

Pubblicato online: 26 feb 2024

Pagine: -

Ricevuto: 10 gen 2024

Accettato: 17 gen 2024

DOI: https://doi.org/10.2478/amns-2024-0479

Parole chiaveDistribution network micro-application, Distribution operation, Load forecasting, Anomaly warning, cooperative regulation and control

© 2024 Yi Xu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Distribution network micro-application, Distribution operation, Load forecasting, Anomaly warning, cooperative regulation and control