电力营销系统用电需求信息自动提取技术

Automatic extraction technology of power demand information in electric power marketing system

通过对电力营销系统用电需求信息自动提取,提高信息的识别和统计分析能力,提出基于自适应分区调度和模糊信息融合的电力营销系统用电需求信息自动提取技术。采用统计分析模型构建电力营销系统用电需求信息的特征量空间分布结构模型,结合描述性约束统计分析方法进行用电需求信息的自适应调度。提取电力营销系统用电需求信息的线谱特征量,采用尺度分解方法对提取的线谱特征量进行特征分解,对分解的后的特征进行属性关联性融合处理,结合模糊判断方法进行特征辨识,实现对电力营销系统用电需求信息自动提取。仿真结果表明,采用该方法进行电力营销系统用电需求信息自动提取的准确度较高,分辨能力较强,提高了对用电需求信息的统计分析能力。

Through the automatic extraction of electricity demand information in electric power marketing system,we can improve the ability of information recognition and statistical analysis. This paper presents an automatic power demand information extraction technique based on adaptive zoning scheduling and fuzzy information fusion in electric power marketing system. The statistical analysis model is used to construct the spatial distribution model of power demand information and the descriptive constraint statistical analysis method is used to carry out the adaptive dispatching of the demand information. The line spectrum characteristic quantity of power marketing system is extracted,the feature quantity of line spectrum is decomposed by scale decomposition method,and the feature after decomposing is processed by attribute correlation fusion. Based on the fuzzy judgment method,the information of electricity demand in power marketing system can be automatically extracted. The simulation results show that this method has high accuracy and strong resolution for automatic extraction of electricity demand information in electric power marketing system,and improves the ability of statistical analysis of power consumption information.