Application method for automatic statistics and multi-dimensional visualization display of power network dispatch data

Abstract

The invention provides an application method for automatic statistics and multi-dimensional visualization display of power network dispatching data. The method obtains power network basic account dataand power network operation data by establishing a data interface with a SCADA system and a power network production system. After the data is obtained, and combs the running data fields. The main operation data fields are: day, month, annual maximum current, month, annual maximum current time and year-on-year comparison, day, month, annual maximum load time and year-on-year comparison, day, month, annual maximum load rate, day, month, annual load rate, month, annual minimum current and time, allowable current load, daily current curve, day, month, electricity quantity, month and year-on-yearcomparison, etc. At the same time, when the power network operation data changes abnormally, the red prompt will appear automatically, and all kinds of data have the function of modification.

Description

technical field [0001] The invention relates to the field of power system management, and more specifically, to an automatic statistics and multi-dimensional visualization display application method for power grid dispatching data. Background technique [0002] Power grid equipment in operation generates a large amount of operation scheduling data all the time, such as voltage, current, load, power and other operating data generated by the equipment in real time; at the same time, a lot of operational statistical data will be derived from the real-time data, such as the highest interval voltage and minimum voltage, the highest and lowest current in the interval, the highest and lowest load in the interval, the accumulated electricity in the interval, the highest and lowest load ratio in the interval, the average load ratio and load ratio in the interval, and other data; in addition, the above data need to pass through different Statistics are carried out at different levels,...

AI Technical Summary

Problems solved by technology

[0003] In the traditional way, power grid operators need to obtain point-by-point queries through the SCADA (Supervisory Control And Data Acquisition, SCADA) system, and analyze them manually, which requires a lot of manpower and material resources, and the efficiency is low, which seriously restricts the level of power grid management

At the same time, when the functional management departments of the power grid, such as equipment, marketing, and planning departments need power grid-related data, they need to extract relevant data through SCADA through the power grid dispatching department, and then integrate and analyze the relevant data before exporting relevant data to relevant departments. Manual transmission of data by multiple departments requires put in a lot of work

In addition, in order to grasp the operation of the power grid, the upper-level power grid managers need to analyze from all-round and multi-dimensional data. Traditional manual statistics have problems such as low efficiency, difficulty in ensuring accuracy, and difficulty in ensuring timely completion.

[0004] Based on the above analysis, there is an urgent need for a technology that can realize automatic statistics of power grid dispatching data and display it in a multi-dimensional and all-round way to solve the problems of low efficiency and difficulty in ensuring the accuracy of traditional dispatching operators' manual statistics. a need to be addressed

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