电网智能调度中的大数据及应用场景研究

随着风光储等新能源广泛接入，电网调度运行过程中涉及到海量、多类型、复杂度高的数据，将电网运行数据转化为知识是智能调度发展的必然趋势。为满足大数据全景深度分析的应用需求，文章从数据来源、数据特点、应用趋势等方面对智能调度数据进行了深入分析和总结，结合智能调度的新需求。分析大数据技术在智能调度领域的潜在应用场景。为实现单一数据源无法实现的准确、安全、经济等目标综合最优的智能化分析和决策提供参考。

Research of on Big Data and its Application Scenarios in Grid Intelligent Dispatching Field

With the widespread access of distributed energy resources wind, light storage and other new energy sources, power dispatching has involved massive, multi-type, high complexity of the data, Transforming transforming power data into knowledge is the inevitable trend of intelligent scheduling dispatching development. For application of to meet the requirements to of deep and overall comprehensive big data analysis, this paper analyses and summaries data in intelligent dispatching field according to from the data sources, data characteristics, application trend and etc, considering intelligent scheduling new requirements of intelligent dispatching, analyzes potential application scenarios of big data technology in the field of intelligent dispatching, to provides a reference of realizing intelligent analysis and decision making with comprehensive optimal objectives of accuracy, security, economic and others, which single data source can not be achieved by single data source.