Study on analysis and decision support system of power grid operation considering meteorological environment based on big data and GIS

2016 China International Conference on Electricity Distribution (CICED) Pub Date : 2016-09-26 DOI:10.1109/CICED.2016.7576045

Li Li, Xu Yao-qiang, Wang Xing-zhi, Wang Kai

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引用次数: 1

Abstract

It is significant to obtain the impacts of meteorology on power grid effectively in power grid operation and planning. This paper attempts to offer a approach to analyzing the effect of meteorological environment on the power grid, not only meteorological hazard but also conventional meteorological environment such as air pollution and temperature. In this article the business requirements about the impacts of meteorological environment on power grid are discussed firstly, and then integrated analysis and decision support system including four main functions and three layers are designed to satisfy the requirement. Further, considering the characteristics of meteorology and power system, a approach which can extract the meteorological influence on power grid and the internal correlation features on a hybrid correlation mining is proposed. Finally visualization technology of integrated GIS and big data is used to show the analysis results by a multidimensional way. The performance of the proposed method has been evaluated by case studies, with an effectiveness and correctness result.

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基于大数据和GIS的考虑气象环境的电网运行分析决策支持系统研究

有效获取气象对电网的影响对电网运行和规划具有重要意义。本文试图提供一种分析气象环境对电网影响的方法，不仅包括气象灾害，还包括大气污染、温度等常规气象环境。本文首先讨论了气象环境对电网影响的业务需求，然后设计了包含四个主要功能、三个层次的综合分析与决策支持系统。在此基础上，结合气象和电力系统的特点，提出了一种混合关联挖掘中提取气象对电网的影响及其内部相关特征的方法。最后利用GIS与大数据相结合的可视化技术，对分析结果进行多维度的展示。通过实例验证了该方法的有效性和正确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 China International Conference on Electricity Distribution (CICED)

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