| With the rapid development of smart grid technology and the constant upgrading of grid measurement devices,the power system has shifted from the traditional physical network to the information physical integration network supported by large data of power.The integration of power grid and data information network also brings new challenges to the modeling of power evaluation system: on the one hand,a large amount of measurement data can not directly enter the information network for analysis,it needs to be extracted out of valuable information through the clustering method and quickly sent to the information network;on the other hand,diversified grid measurement breaks through the barriers of traditional power system physical layer operation analysis,highlights the interaction and impact of grid operation environment and power system operation,it puts forward higher requirements for integrated modeling of environment and power grid.Based on the electrical quantity and non-electrical quantity measurement information of the power grid,the power system operation model is used to model the operation of the power system,which can effectively exploit the power big data to realize the grid state assessment closer to the actual operation and strengthen the operation control of the power system.It is of great significance to strengthen the operation control and dispatch analysis ability of power system.Firstly,this paper uses the cluster analysis method to clean and extract the power system measurement big data,and reduce the storage and calculation pressure of the data processing node.Aiming at the characteristics of wide power transmission system and long data transmission distance,a cloud computing model for power data parallel computing is proposed,which reduces the time lag of data long-distance transmission,improves the calculation efficiency of the control center,realizes real-time data analysis of large power grid,and constructs a high-speed and effective information network model of power system.Secondly,the parameters estimation models of transmission network,distribution network and power transformer are established by using the power system measurement data.And the real-time calculated dynamic parameters are used to replace the traditional power grid structural parameters,which provides more accurate guarantee for power system analysis and control.Based on the multi-element micrometeorological measurement data and operation measurement data of power grid,a micro-meteorological-transmission line parameter fitting evaluation model and a temperature-transformer load fitting evaluation model are established.This model can monitor the operation conditions of transmission lines and transformers in real time,and make on-line early warning of abnormal operation of power grid equipment by real-time measurement.Meanwhile,this model is verified by the actual network data of a power grid in Northeast China,which effectively identifies the operational faults that cannot be detected by the inspection during grid operation.Finally,using the idea of cyber-physical system,the power physical network and the information network are normalized and modeled,and the power system cyber-physical evaluation system based on multi-grid measurement is established.The measurement information is cleaned,transformed and transmitted by using the coupling network,and the control information is acted on the physical network by using the feedback network.he model makes full use of the power big data to realize real-time online evaluation of the power system operating equipment and closed-loop control of the grid operation,improving the stability and safety of the power system operation. |
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