CONVERTER PARAMETERIZED CONSTANT ADMITTANCE MODELING METHOD BASED ON CROSS INITIALIZATION

Patent №

US 11,449,653

Granted

2022-09-20

Filed 2021

Owner

SOUTHEAST UNIVERSITY

Lab

AI components

2

planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17605589

A converter parameterized constant admittance modeling method based on a cross initialization including the following steps: (1) performing parameterized modeling on a converter, wherein switches are modeled using a parametric historical current source constant admittance model and other components are modeled using a traditional electromagnetic transient simulation integral model in the converter; (2) detecting whether state switching occurs, performing cross initialization correction when occurring; (3) determining model parameters, and establishing an equivalent admittance matrix and an injection current source of a whole grid, to obtain an electromagnetic transient simulation equivalent model; (4) solving a network tide according to a basic solving equation I=YU to obtain an electromagnetic transient model simulation result of the converter at current time; and (5) calculating an equivalent admittance matrix and an injection current source at next time through a current network state quantity, and returning to step (2) until a simulation terminates.

PlanningAI hardwareG06F 30/20G06F 30/367G06F 17/11G06F 2111/10G06F 2113/04G06F 2119/06

AI classification

Planning1.00
AI hardware0.69
Machine learning0.05
Evolutionary computation0.01
Vision0.00
Knowledge representation0.00
Natural language0.00
Speech0.00

Ownership

SOUTHEAST UNIVERSITY

assignment · 578910454

Assignors

GU, WEI, CAO, YANG, ZOU, DEHU, LI, KE, SHI, KUN

On an employer assignment, the assignors are typically the inventors.

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