Method, for monitoring power system power oscillation in real time, based on SCADA (supervisory control and data acquisition) data

Abstract

The invention relates to method, for monitoring power system power oscillation in real time, based on SCADA (supervisory control and data acquisition) data. The method includes the steps of firstly, calling a real-time database interface of an EMS (enhanced message system) to obtain an active value of power equipment; secondly, calling an oscillation feature iterative function, inputting new data on the basis of a previous state, calculating feature quantity of active oscillating of one grid equipment, comparing with a preset fixed value, and returning equipment state; thirdly, detecting whether opposite terminal equipment of a local terminal is marked to be in an oscillating state or not, and if so, judging that power oscillation occurs in a power system; and fourthly, if power oscillation occurs, calling a warning interface of the EMS system for warning. By the method, data accuracy is improved, practicality level is improved, investment is saved greatly, and convenience and practicality are achieved.

Description

technical field [0001] The invention is a method for real-time monitoring of power system power oscillation based on SCADA data, which belongs to the innovative technology of the method for real-time monitoring of power system power oscillation based on SCADA data. Background technique [0002] In the power system, when the generators run in parallel through the transmission line to supply power, continuous oscillation between the rotors of the generator may occur under certain operating conditions, and at the same time cause corresponding oscillations in the bus voltage and power on the transmission line, which affects the power balance. Normal transmission, in severe cases, the power system will lose synchronization and cause serious consequences such as collapse. Because the frequency of this continuous oscillation is very low, generally between 0.1 and 2.5Hz, it is usually called low-frequency oscillation. Since the direct cause involves the swing between the rotors of t...

AI Technical Summary

Problems solved by technology

[0007]Contrary to RTU, PMU is not a conventional collection device for plant construction, it needs to be specially deployed, and is generally only deployed in plants with serious stability problems. Although the system has increased investment and connected a large number of PMU devices, the problem of limited PMU distribution and incomplete monitoring range is still very prominent

[0008]2) Inadequate maintenance and low data accuracy

[0009]Because the PMU is an additional device for remote data collection, it has little impact on the real-time operation of the power grid. There are deviations in operation, which often cause data problems

[0010]The master station often accesses PMU data by building a special WAMS (Wide Area Measurement System) system, which is difficult to integrate with the EMS system, and these The system usually lacks professional staff and maintenance is difficult

[0011]3) The technology is complex and difficult to implement

[0012] The PMU needs to be deployed at the station, and the collection volume can only be obtained by connecting with the primary equipment of the factory station. It is also necessary to establish a special channel to connect with the master station system, which is equivalent to Re-deploy a complete set of data acquisition architecture, and the master station also needs to build a dedicated WAMS system to process and analyze data, which is very complicated technology

[0013] The application analysis of the master station system adopts a relatively complex algorithm. Currently, there are many studies on low-frequency oscillation analysis, but all of them must be based on the integrity and accuracy of the data , but because of the lack of this aspect, various algorithm theories cannot run correctly in the end, and the system has problems in user experience and integration, which are often difficult to be practical

[0014]4) Implementation costs are too high

[0015]The wide-area monitoring system needs to rebuild the data collection framework, and the factory station needs to specially deploy PMU devices. The application of the main station system is complicated, which will inevitably lead to a significant increase in implementation costs

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