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Application of data-driven user-transformer relationship identification technology in load control of station area

Published: 31 July 2024 Publication History

Abstract

With the rapid development of the new power system, the proportion of distributed new energy and new power load in the intelligent distribution area increases, which brings great challenges to the lean operation of the low-voltage power distribution system. This paper systematically sorts out the typical classification and regulation requirements of load regulation at the present stage, discusses its advantages and disadvantages, applicability and implementation difficulties, and proposes a data-driven load regulation framework for low-voltage transformer area. Through sensing and processing the data of intelligent sensing equipment and measuring equipment provided by intelligent acquisition devices, and integrating topological recognition technology, accurate user-transformer relationship relationship is obtained. It provides a research idea for the fine regulation and implementation of low-voltage transformer area load.

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    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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    Published: 31 July 2024

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    Author Tags

    1. data-driven
    2. load control
    3. topology identification
    4. user-transformer relationship identification

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