Data-Driven Power Electronic Converter Modeling for Low Inertia Power System Dynamic Studies

被引：14

作者：

Guruwacharya, Nischal ^{[1
]}

Bhujel, Niranjan ^{[1
]}

Tamrakar, Ujjwol ^{[1
]}

Rauniyar, Manisha ^{[1
]}

Subedi, Sunil ^{[1
]}

Berg, Sterling E. ^{[1
]}

Hansen, Timothy M. ^{[1
]}

Tonkoski, Reinaldo ^{[1
]}

机构：

[1] South Dakota State Univ, Dept Elect Engn & Comp Sci, Brookings, SD 57007 USA

来源：

2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM) | 2020年

基金：

美国国家科学基金会;

关键词：

Converter-dominated electric power systems; data-driven modeling; grid-connected converters; system identification; VOLTAGE-SOURCE INVERTERS;

D O I：

10.1109/pesgm41954.2020.9281783

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

A significant amount of converter-based generation is being integrated into the bulk electric power grid to fulfill the future electric demand through renewable energy sources, such as wind and photovoltaic. The dynamics of converter systems in the overall stability of the power system can no longer be neglected as in the past. Numerous efforts have been made in the literature to derive detailed dynamic models, but using detailed models becomes complicated and computationally prohibitive in large system level studies. In this paper, we use a data-driven, black-box approach to model the dynamics of a power electronic converter. System identification tools are used to identify the dynamic models, while a power amplifier controlled by a real-time digital simulator is used to perturb and control the converter. A set of linear dynamic models for the converter are derived, which can be employed for system level studies of converter-dominated electric grids.

引用

页数：5

共 16 条

[1] Data-Driven Modeling of a Commercial Photovoltaic Microinverter [J].

Abbood, Hayder D. ;

Benigni, Andrea .

MODELLING AND SIMULATION IN ENGINEERING, 2018, 2018

[2]

Alskran F. A., 2014, THESIS

[3]

[Anonymous], 2020, IEEE Standard 1547-2018, DOI [DOI 10.1016/J.EGYR.2020.08.035.4IEEESTANDARDFORINTERCONNECTIONANDINTEROPERABILITYOFDISTRIBUTEDENERGYRESOURCESWITHASSOCIATEDELECTRICPOWERSYSTEMSINTERFACES, 10.1109/IEEESTD.2018.8332112]

[4] Energy Management and Optimization Methods for Grid Energy Storage Systems [J].