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Research on the Integration and Fusion Technology of Distribution Network Data Resources Considering New Energy

Published: 26 March 2024 Publication History

Abstract

The essence of the construction and development of new power systems is to improve the functionality and performance of existing power systems, and the distribution network is the key to the functionality of the power system. Therefore, the upgrading and optimization of the distribution network is the key to the success of the modern energy revolution, and the development of the distribution network is also faced with management and technical challenges brought by new equipment and resources. This article proposes a distribution network data resource integration and fusion method that takes into account new energy, integrating the constantly emerging new power equipment and facilities as well as their corresponding data resources into existing power information management systems. Using the integrated distribution network data platform as the data base to support the deepening and development of distribution network business applications. Firstly, the data description characteristics of the new power equipment and facilities are sorted out, and the description rule system is extracted using the methods of power equivalence processing and equipment profiling. Due to the lack of standardized description rules for new energy equipment, it is necessary to reorganize and construct a corresponding description rule system. Then map and correspond its description rules with existing power information description rules, find its mapping method, and build a mapping rule library. Finally, based on the mapping rule library, the fusion of new energy data and existing distribution network data resources is achieved, and the accuracy and applicability of data resource fusion are verified by selecting real data from business application scenarios.

References

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ICITEE '23: Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering
November 2023
764 pages
ISBN:9798400708299
DOI:10.1145/3640115
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2024

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Author Tags

  1. Application validation
  2. Data mapping rules
  3. Data resource integration
  4. Distribution network
  5. New energy

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