Research on Power Grid Data Asset Management Based on Big Data BI Analysis – The Role of Renewable Energy Technologies

Du Zhong, Yao Haiyan
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Abstract

With the advancement of the industrial Internet of Things era, and the use of renewable energy technologies, smart grid has become the main form of power grid, and data has become a key link. The problem of data islands is common, and the data value, especially the commercial value, has yet to be tapped. This phenomenon is particularly prominent in power grid enterprises. Therefore, a data management model and method for power grid enterprises are proposed. The model aims at data asset management of power grid enterprises, reveals the process of extracting, modeling, analyzing and value mining of power grid data based on big data BI technology, and puts forward a practical and easy-to-land data asset management method, which really solves the problems of how to collect, store, manage and use data. Finally, taking the linkage between power marketing data and power grid planning in a certain area of Hangzhou, Zhejiang Province as a specific scenario, the BI analysis conclusion of relevant marketing data is displayed, which realizes the echo of conventional application and advanced application, reduces investment practically, improves economic benefits, and demonstrates the feasibility and scientificity of the method.
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基于大数据BI分析的电网数据资产管理研究——可再生能源技术的作用
随着工业物联网时代的推进,以及可再生能源技术的使用,智能电网已成为电网的主要形式,数据已成为关键环节。数据孤岛问题普遍存在,数据价值尤其是商业价值有待挖掘。这种现象在电网企业中尤为突出。为此,提出了一种电网企业的数据管理模型和方法。该模型针对电网企业的数据资产管理,揭示了基于大数据BI技术对电网数据进行提取、建模、分析和价值挖掘的过程,提出了一种实用、易落地的数据资产处理方法,真正解决了数据的收集、存储、管理和使用问题。最后,以浙江省杭州市某地区电力营销数据与电网规划的联动为具体场景,展示了相关营销数据的BI分析结论,实现了常规应用与先进应用的呼应,切实减少了投资,提高了经济效益,论证了该方法的可行性和科学性。
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来源期刊
Strategic Planning for Energy and the Environment
Strategic Planning for Energy and the Environment Environmental Science-Environmental Science (all)
CiteScore
1.50
自引率
0.00%
发文量
25
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