基于大数据分析的电力营销信息管理系统参数自动配置方法

Automatic Parameter Configuration Method of Electric Power Marketing Information Management System Based on Big Data Analysis

电力营销信息管理系统参数复杂化程度加深,约束条件众多,无法形成系统智能自动参数配置,以DCS人工手动关键参数设置为主,弊端明显。结合海量参数特征分析结果,提出基于大数据分析的电力营销信息管理系统参数自动配置方法。引入数据挖掘技术,在电力营销信息管理系统大数据参数分析的基础上,推断获取重要特征参数。结合挖掘的参数特征,推导系统参数最优输出传递函数,结合约束条件,给出参数自动化配置判断阙值。仿真实验结果表明,所提方法能够有效降低参数自动化配置时间和费用,提升系统稳定性。

The parameters of electric power marketing information management system are more complicated,and there are many constraints,so it is unable to form the system intelligent automatic parameter configuration.Combined with the results of massive parameter feature analysis,this paper proposes an automatic parameter configuration method of power marketing information management system based on big data analysis.Based on the big data parameter analysis of power marketing information management system,data mining technology is introduced to infer and obtain important characteristic parameters.Combined with the characteristics of mining parameters,the optimal output transfer function of system parameters is derived.Combined with constraints,the judgment threshold of automatic parameter configuration is given.Simulation results show that the proposed method can effectively reduce the time and cost of parameter automatic configuration and improve the system stability.