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Article type: Research Article
Authors: Wan, Yifeia | Huang, Qia | Wu, Yina; * | Li, Songlingb
Affiliations: [a] Guangxi Power Grid Co., Ltd, Nanning Guangxi, China | [b] Nanning Power Supply Bureau of Guangxi Power Grid Co., Ltd, Nanning Guangxi, China
Correspondence: [*] Corresponding author. Yin Wu, Guangxi Power Grid Co., Ltd, Nanning Guangxi 530000, China. E-mail: [email protected].
Abstract: By designing a digital power grid multi-source data security collaborative management platform, the system configuration problem of the OMS system and the power grid management platform for the main distribution network of the power grid is solved. A design method for the digital power grid multi-source data security collaborative management platform based on discrete particle swarm optimization algorithm is proposed. Based on the design concept of SOA, realize the overall design framework of the platform according to the design method of multi-layer technical system in the business presentation layer, business process and composition layer, service layer, component layer and resource layer, realize the basic layer design of the system management platform through the basic application platform design scheme of XML configuration, implement the query, processing and output representation of the grid’s multivariate data using B/S architecture protocol, and use the Spring Framework The platform software architecture is implemented using J2EE technology and multi module component design scheme. The discrete particle swarm optimization algorithm is used for the fusion and scheduling of multi-source data in the digital power grid. The interface design and functional construction of the power grid management platform are implemented in the OMS system of the power grid main distribution network, and the logical model of the transformation project is constructed to achieve platform optimization and construction. Tests have shown that the designed digital power grid multi-source data security collaborative management platform has good human-machine interaction, strong data fusion scheduling ability, reduced resource and subsystem coupling, and supports the flexibility of physical deployment and maintenance.
Keywords: Discrete particle swarm optimization algorithm, digital power grid, multi source data, safety, collaborative management platform, main distribution network OMS system of the power grid
DOI: 10.3233/JIFS-237849
Journal: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 4, pp. 7751-7761, 2024
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