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电力大数据:2019,22(10):-
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电力大数据在配电网规划中的应用及效果
张凌跃, 王曼, 裴超, 任奎兆, 罗菁, 李承灿
(国网重庆电力公司江北供电分公司 重庆 401100)
Application and Effect of Power Big Data in Distribution Network Planning
Zhang Lingyue, Wang Man, Pei Chao, Ren KuiZhao, Luo Jing, Li Chengcan
(State Grid Chongqing Electric Power Company Jiangbei Power Supply Branch Chongqing 401100)
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投稿时间:2019-05-16    修订日期:2019-07-18
中文摘要: 当前配电网规划中存在的规划存在不合理、数据处理效果不佳、系统故障诊断效率偏低等问题,为提高配电网规划水平,本文结合大数据在电力系统应用的时代背景,提出电力大数据在配电网规划中的应用对策,并分析电力大数据在配电网规划中的应用效果。电力大数据在配电网规划中的应用具有重要意义,能够实现对配电数据的精准处理,对电网状态进行准确评估,同时也为配电网结构优化提供技术支持。具体应用过程中,应该在主动配电网数据调度、主动配电网数据规划管理、配电网电压数据规划管理中运用电力大数据,并把握技术要点,合理进行配电网规划。实际应用表明,电力大数据满足配电网规划需要,能够提高配电系统数据信息处理效果和系统故障诊断效率。
Abstract:In the current distribution network planning, the existing planning is unreasonable, the data processing effect is not good, and the system fault diagnosis efficiency is low. In order to improve the planning level of the distribution network, this paper combines the background of big data in the application of power system to propose power. The application of big data in distribution network planning, and analyze the application effect of power big data in distribution network planning. The application of power big data in distribution network planning is of great significance. It can realize the accurate processing of power distribution data, accurately evaluate the power grid status, and provide technical support for the optimization of distribution network structure. In the specific application process, power big data should be used in active distribution network data scheduling, active distribution network data planning management, distribution network voltage data planning management, and grasp the technical points to rationally carry out distribution network planning. The practical application shows that the power big data can meet the needs of distribution network planning, and can improve the data information processing effect and system fault diagnosis efficiency of the power distribution system.
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