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Collaborative Design and Implementation of Inter-provincial and Intra-provincial Power Settlement Business Based on Service Mesh

Published: 01 June 2024 Publication History

Abstract

With the continuous progress of the country's deepening of the reform of the electric power system, the pace of construction of the national unified power market continues to accelerate, and the overall market framework of the national unified power market of "unified market, two-level operation" has been basically completed. At present, the cross-provincial power spot market and the four provinces and one city power spot market in East China have gradually carried out trial operation, and the operation of the spot market will bring about the transformation of the settlement mechanism, and the inter-provincial settlement in East China will change from monthly settlement to daily settlement. The new generation of power settlement system has introduced the latest IT technologies such as cloud computing, microservices and big data. In order to better improve the rapid collaboration of multi-level power settlement business, this paper proposes a collaborative design scheme for inter-provincial and intra-provincial power settlement business based on the service grid technology framework. This scheme optimizes the execution efficiency of complex service invocation when the power settlement system evolves from a single architecture to a distributed architecture. Through testing in multiple scenarios, it is verified that the scheme can reduce the structural complexity of inter-provincial and intra-provincial power settlement business processing, optimize the server usage cost, improve the performance and execution response speed of inter-provincial and intra-provincial system application. It is a good choice to optimize and improve the distributed power settlement system.

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    ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management
    November 2023
    1156 pages
    ISBN:9798400716478
    DOI:10.1145/3656766
    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: 01 June 2024

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