基于大数据分析技术的电网智能调控分析方法

Power Grid Intelligent Control Analysis Method Based on Big Data Analysis Technology

传统的电力调度监控系统的调控效率不高,无法满足当前智能电网的需求,本研究设计出电网智能调控分析系统,应用大数据技术提高系统的存储容量和计算效率,建立统一的数据标准并实现各工作站的数据共享。基于FPGA设计出数据集中器连接了数据层和网络层,通过数据通信协议DTC与系统进行数据交换,时钟网络产生时钟信号与其他模块完成同步。调度工作站确定电网中各电力设备的最佳出力调度方案,使用多目标调度优化模型,并对分时电价机制下的用户响应进行建模分析。搭建实验环境进行测试,电网调度实验结果显示本研究系统电负荷需求响应结果中峰谷差降低了365.2kW,各单元的出力情况不断变化,保证电网运行成本最低。

The control efficiency of the traditional power dispatching and monitoring system is not high,which can not meet the needs of the current smart grid.In this study,an intelligent control and analysis system for the power grid is designed,which applies big data technology to improve the storage capacity and computing efficiency of the system,establishes a unified data standard and realizes the data sharing of each workstation.Based on field programmable gate array,a data concentrator is designed to connect the data layer and the network layer.Data is exchanged with the system through the communication protocol DTC,and the clock signal generated by the clock network is synchronized with other modules.The dispatching workstation determines the optimal dispatching scheme of the power equipment in the power network,uses the multi-objective dispatching optimization model,and models the user response under the time-of-use electricity price mechanism.The test results show that the peak-valley difference of the system is reduced by 365.2 kW,and the output of each unit is constantly changing to ensure the lowest operation cost of the power grid.