基于一种集控站监控信息预测和优化模型研究与分析

Research and analysis on a model for predicting and optimizing monitoring information of centralized control stations

集控站作为电网运行的重要部分,连接着调度系统和变电站,其监控信息准确性和效能性的发挥尤为关键。为了更进一步提升集控站监控信息的审核效率,采用“专家库+改进蚁群算法”的方式,实现集控站监控信息表内容的预测和优化。通过构建集控站监控信息预测和优化模型,一方面面向信息行业属性,采用MapReduce分析机制,构建专家库,实现监控信息预测功能;另一方面依托蚁群算法建模,构建改进型信息全局优化模型。通过实验分析,该模型不仅提升了冗繁的监控信息分析预测能力,而且增强了电网集控场景下的监控信息优化效能。

As an important part of the power grid operation,the centralized control station connects the dispatch system and the substation,and the accuracy and effectiveness of its monitoring information is particularly crucial.In order to further improve the audit efficiency of monitoring information in the centralized control station,this article adopts the method of“expert database+improved ant colony algorithm”to achieve prediction and optimization of the content of the monitoring information table in the centralized control station.By constructing the monitoring information prediction and optimization model of centralized control station,on one hand,facing the attributes of information industry,MapReduce analysis mechanism is used to build expert database to realize the monitoring information prediction function;on the other hand,an improved global optimization model of information is constructed based on ant colony algorithm modeling.Through the experimental analysis,the model not only improves the analysis and prediction ability of tedious monitoring information,but also enhances the optimization efficiency of monitoring information in the centralized control scenario of power grid.