System for estimating distributive state of intelligent transformer station

Abstract

The invention discloses a system for estimating a distributive state of an intelligent transformer station. The system comprises a scheduling center state estimation platform and a distributive state estimation plant terminal platform, and the distributive state estimation plant terminal platform comprises a transformer station real-time database, a transformer station graphic topology analysis module, a transformer station state estimation module and a distributive state estimation database. The transformer station graphic topology analysis module carries out transformer station topology analysis on station internal remote signaling on the basis of a power grid model static database maintained at a station terminal, relationship of topology connection and node device connection of station internal switch nodes and device parameters to form transformer station internal system topology; the transformer station state estimation module carries out transformer station state estimation on the station internal telemetry information and calculates credibility quality grade of information; and the distributive state estimation database is used for transmitting measurement data to a scheduling center state estimation real-time database through a transformer station communication server and a scheduling data network and simultaneously receiving information of the scheduling center state estimation real-time database. According to the system for estimating the distributive state of the intelligent transformer station, disclosed by the invention, the reliability and the accuracy of transformer station basic data can be improved, and the processing on secondary information defects is accelerated.

Description

technical field [0001] The invention belongs to the field of substation automation and provides a distributed state estimation technology applied to intelligent substations. Background technique [0002] State estimation is also called filtering, which uses the redundancy of the real-time measurement system to improve data accuracy, automatically eliminates error information caused by random interference, and estimates or forecasts the operating state (or orbit) of the system. [0003] In recent years, the upsurge of research on smart grid has risen around the world, and the State Grid Corporation of China has carried out research on intelligent dispatching, which has promoted the process of research and construction of smart grid in my country. With the actual application of advanced applications such as dynamic security early warning and pre-control, scheduling plan security check, and reactive power and voltage optimization control, the problem of inaccurate basic data ha...

AI Technical Summary

Problems solved by technology

With the actual application of advanced applications such as dynamic security early warning and pre-control, scheduling plan security check, and reactive power and voltage optimization control, the problem of inaccurate basic data has gradually been exposed, mainly manifested in topology errors and bad measurement data. As a result, the state estimation is unavailable or unreliable, which restricts the practical application of advanced applications, thereby reducing the power grid operators' ability to judge and control the power grid operating state

Due to the defect of the dispatch center information, even through the improvement of the state estimation model and algorithm, it is impossible to fundamentally solve the problem of the accuracy of the basic data of the dispatch center

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