Systems and methods for sequential power system model parameter estimation

Abstract

A system for sequential power system model calibration is provided. The system includes a computing device in communication with at least one sensor monitoring a power system. The computing device includes at least one processor in communication with at least one memory. The at least one processor is programmed to store a model of a device. The model includes a plurality of parameters. The at least one processor is also programmed to receive a plurality of events associated with the device, filter the plurality of events to generate a plurality of unique events, sequentially analyze the plurality of unique events to determine a set of calibrated parameters for the model, and update the model to include the set of calibrated parameters.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of priority to U.S. Provisional Patent Application No. 62 / 833,492, filed Apr. 12, 2019, entitled “SYSTEMS AND METHODS FOR SEQUENTIAL POWER SYSTEM MODEL PARAMETER ESTIMATION,” the entire contents and disclosure of which are incorporated by reference in its entirety.BACKGROUND[0002]The field of the invention relates generally to sequential power system model parameter estimation, and more particularly, to a system for modeling sequential power systems based on multiple events.[0003]During 1996 Western System Coordinating Council (WSCC) blackout, the planning studies conducted using dynamic models had predicted stable system operation, whereas the real system became unstable in a few minutes with severe swings. To ensure the models represent the real system accurately, North American Electric Reliability Coordinator (NERC) requires generators above 20 MVA to be tested every 5 years or 10 years (depending o...

AI Technical Summary

Benefits of technology

The patent describes a computer program that creates a model of a device by collecting events and filtering them to identify unique ones. It then uses these unique events to calibrate the model and update it with new parameters. The technical effect of this program is better accuracy and efficiency in analyzing and modeling devices.

Problems solved by technology

During 1996 Western System Coordinating Council (WSCC) blackout, the planning studies conducted using dynamic models had predicted stable system operation, whereas the real system became unstable in a few minutes with severe swings.

This method may cost $15,000-$35,000 per generator per test in the United States and includes both the cost of performing the test and the cost of taking the generator off-line.

A generator or load model built from one or two field tests may not be a good model, since it may overfit some specific event and lack the ability to fit the new, fresh measured load curves.

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