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基于大数据和云空间技术的电力系统变电检修策略研究

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随着经济高速发展,对电力需求及电能质量提出了新的要求;电力系统规模不断扩大,对系统安全提出了更高的要求.变电检修作为电力系统运行维护的重要环节,可以有效地保障系统的稳定运行和供电可靠性.该文针对传统变电检修策略的不足,提出了一种基于大数据和云空间技术的新型电力系统变电检修策略.该研究通过数据采集与预处理、数据存储与管理、数据挖掘与分析以及数据可视化等手段对大量历史数据进行挖掘和分析,并且通过数据驱动的决策支持和智能化工具的应用,实现变电设备的在线监测和健康状况评估预测,从而提高变电检修的针对性和效率,降低检修成本,为电力系统的安全、稳定运行提供有力保障.
Research of Power System Substation Maintenance Strategies Based on Big Data and Cloud Space Technology
Our country's economy is in a stage of rapid development,and new requirements are constantly being put forward for the development of electricity.The scale of the power system is constantly expanding,which puts higher demands on the safe and stable operation of the power system.Substation maintenance,as an important part of power system operation and maintenance,can effectively ensure the stable operation of the system and the reliability of power supply.This article proposes a new power system substation maintenance strategy based on big data and cloud space technology to address the shortcomings of traditional substation maintenance strategies.By mining and analyzing a large amount of historical data,online monitoring and prediction of equipment can be achieved,thereby improving the pertinence and efficiency of substation maintenance,reducing maintenance costs,and providing strong guarantees for the safe and stable operation of the power system.

big datacloud space technologyremote controlsubstation maintenanceoperational research

路赵、王红全、田园、史振伟、郭靖

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乌兰察布供电公司,内蒙古乌兰察布 012000

大数据 云空间技术 远程监控 变电检修 策略研究

2024

电力大数据
贵州电力试验研究院 贵州省电机工程学会

电力大数据

影响因子:0.047
ISSN:2096-4633
年,卷(期):2024.27(10)