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基于数据监测的配电网基础数据质量标准化管理的分析
引用本文:林钰杰,吴丽贤. 基于数据监测的配电网基础数据质量标准化管理的分析[J]. 微型电脑应用, 2020, 0(1): 127-129
作者姓名:林钰杰  吴丽贤
作者单位:广东电网有限责任公司佛山供电局
摘    要:经济的快速发展也让社会对电网建设、电能质量有了更高的要求,稳定有效的数据支撑对于电能服务工作具有重要的作用。智能配电网的发展中,数据点来源复杂,含有异常数据出现问题的可能性较高。例如2003年意大利的全国大停电、2006年的西欧大停电案例说明,配网调度工作需要有效地规划,才能用于支撑导切符合,保障配电网的安全稳定运行。配电网基础数据质量标准化管理可以在正确的配网数据下,进行高质量的调度工作,让业内配电网领域形成一套完善的数据监测与质量管理方案,以便于在电能施工用的过程中及时发现存在的质量问题,弥补潜在的损失,并最终为电能质量高级规划的实现提供数据支持和技术保障。

关 键 词:数据监测  配电网  基础数据  标准化管理

Analysis of Standardization Management of Basic Data Quality of Distribution Network Based on Data Monitoring
LIN Yujie,WU Lixian. Analysis of Standardization Management of Basic Data Quality of Distribution Network Based on Data Monitoring[J]. Microcomputer Applications, 2020, 0(1): 127-129
Authors:LIN Yujie  WU Lixian
Affiliation:(Foshan Power Supply Bureau,Guangdong Power Grid Co.Ltd.,Foshan 528000)
Abstract:The rapid development of the economy has also made the society have higher requirements for power grid construction and power quality. Stable and effective data support plays an important role in power service work. In the development of smart distribution networks, the sources of data points are complex, and there is a high possibility of problems with abnormal data. For example, in 2003, the national blackout in Italy and the blackout in Western Europe in 2006 also indicated that the dispatching work of the distribution network needs effective planning, which can be used to support the guidance and compliance, and to ensure the safe and stable operation of the distribution network. The basic data quality management of distribution network can carry out high-quality scheduling work under the correct distribution network data, and form a complete data monitoring and quality management plan in the field of distribution network in the industry, so as to facilitate the process of electric energy construction. In the timely discovery of existing quality problems, make up for potential losses, and ultimately provide data support and technical support for the implementation of advanced power quality planning.
Keywords:Data monitoring  Distribution network  Basic data  Standardization management
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