罗毅初, 祝钧, 姚远, 杨家俊. 集成多源数据的配电网低电压智能管理系统[J]. 电力信息与通信技术, 2023, 21(6): 43-51. DOI: 10.16543/j.2095-641x.electric.power.ict.2023.06.07
引用本文: 罗毅初, 祝钧, 姚远, 杨家俊. 集成多源数据的配电网低电压智能管理系统[J]. 电力信息与通信技术, 2023, 21(6): 43-51. DOI: 10.16543/j.2095-641x.electric.power.ict.2023.06.07
LUO Yichu, ZHU Jun, YAO Yuan, YANG Jiajun. Intelligent Management System for Low Voltage in Distribution Network With Integrated Multi-source Data[J]. Electric Power Information and Communication Technology, 2023, 21(6): 43-51. DOI: 10.16543/j.2095-641x.electric.power.ict.2023.06.07
Citation: LUO Yichu, ZHU Jun, YAO Yuan, YANG Jiajun. Intelligent Management System for Low Voltage in Distribution Network With Integrated Multi-source Data[J]. Electric Power Information and Communication Technology, 2023, 21(6): 43-51. DOI: 10.16543/j.2095-641x.electric.power.ict.2023.06.07

集成多源数据的配电网低电压智能管理系统

Intelligent Management System for Low Voltage in Distribution Network With Integrated Multi-source Data

  • 摘要: 为适应数字电网的发展需求,提升低压配电网的管理水平,文章设计了集成多源数据的配电网低电压智能管理系统。首先,设计了系统的总体架构,满足了集成多源数据、高效开发、易于拓展等功能需求;然后,对系统的各个功能模块进行介绍,包括数据处理、拓扑识别、低电压预测、无功优化等模块,各模块互相独立、相互协调,不仅满足目前智能化管理低压配电网的要求,同时预留接口,满足未来升级拓展的需求;阐述了各个模块的智能化关键技术,为智能化系统的建设提供有效的解决方案;最后,通过给出一个应用实例验证系统的可行性与有效性。

     

    Abstract: To meet the development demand of digital power grid and improve the management level of low-voltage distribution network, this paper develops a low-voltage intelligent management system of distribution network. Firstly, this paper designs the overall architecture of the system to meet the needs of integrating multiple sources of data, easy expansion, and efficient development. Then, each functional module of the software system is introduced, including data processing, topology identification, low voltage prediction, reactive power optimization and other modules, each module is independent and coordinated with each other, which not only meets the current demand of intelligent management of LV distribution network, but also reserves interfaces to meet the future requirements. Moreover, the intelligent key technologies of each module are elaborated to provide effective solutions for the construction of intelligent systems. Finally, an application example is given to verify the feasibility and effectiveness of the software.

     

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