A Master-Substation Information Interaction Method Applied to Power System State Estimation

Abstract

The invention provides a main / substation information interaction method applied to power system state estimation. The method comprises the following steps: step 1, a main scheduling station receives a data message with a substation topology model and equipment measurement quality state analysis result transmitted by a substation; step 2, the main scheduling station transmits the equipment measurement quality state analysis result in the received data message to the main station state estimation for measurement weight modification, compares substation topology identification result with topology analysis result of a same factory station corresponding to the main station state estimation, executes the step 3 when the comparative result is not accordant, and ends the interaction process of the substation and the main scheduling station when the comparative result is accordant; step 3, the main scheduling station transmits a detailed model request to the substation; step 4, the substation transmits a substation telecommand value with switch and disconnecting link position information to the main scheduling station, and the main scheduling station performs detailed model verification. By adopting the method provided by the invention, the telecommand identification and telemetering quality state result of substation state estimation are sufficiently utilized to perform on-line state estimation calculation, and the accuracy in topology analysis and estimation calculation of substation state estimation is improved.

Description

technical field [0001] The invention relates to the field of power system calculation, in particular to a master-substation information interaction method applied to power system state estimation. Background technique [0002] The complexity of the power grid structure is increasing, the scale of the power grid is getting larger and larger, the use of a large number of new equipment and devices and the gradual integration of new energy sources have brought huge challenges to the state control, strategy analysis and operation control of the power grid. The traditional experience-based, offline Analytical scheduling methods have made it increasingly difficult for dispatchers to control the power grid, which has increased the need for online analysis capabilities. [0003] State estimation is the cornerstone of online analysis of power systems, and the accuracy and rationality of the data section it provides is the feasible and credible basis for real-time analysis, early warni...

AI Technical Summary

Problems solved by technology

Due to the lack of effective communication between the master station and the sub-station information, the state estimation of the traditional master station passively receives a limited amount of real-time data information obtained by SCADA from the front end, and the measurement preprocessing method based on the rule method cannot reliably detect suspicious remote signals and telemetry. Accurate identification and positioning of the data lead to errors in the topology of the power grid and partial contamination of the grid estimation results

[0005] In recent years, with the construction of digital smart substations, more and more information has been rapidly collected, including comprehensive automation, phasor measurement unit (PMU), protection and online monitoring information of various smart primary equipment. Station-side multi-source data can be used for The state estimation of the main station provides data support, but in the current centralized state estimation method of the main station, the main station cannot effectively use the massive information of the sub-stations

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