Analysis of power system transient stability characteristics with the application of massive transient stability simulation data

A large number of simulation results will be generated during the calculation of the power system digital simulation. Manual analysis of massive numerical results is inefficient and error-prone. Besides, some imperceptible operating rules of power system operating mode may be ignored. In order to so...

Full description

Bibliographic Details
Main Authors: Haocheng Yang, Kunkun Niu, Dechao Xu, Shuwen Xu
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472100113X
_version_ 1831637273497567232
author Haocheng Yang
Kunkun Niu
Dechao Xu
Shuwen Xu
author_facet Haocheng Yang
Kunkun Niu
Dechao Xu
Shuwen Xu
author_sort Haocheng Yang
collection DOAJ
description A large number of simulation results will be generated during the calculation of the power system digital simulation. Manual analysis of massive numerical results is inefficient and error-prone. Besides, some imperceptible operating rules of power system operating mode may be ignored. In order to solve these problems, a transient stability assessment method based on deep learning is proposed in this paper. By analyzing simulation data, the relationship between power grid stability characteristics and the set operation mode is constructed. According to these research results, the calculation and analysis of power system transient stability will be effectively supported.
first_indexed 2024-12-19T06:48:24Z
format Article
id doaj.art-b8f01d2f593d48f88c603f8ee52317c4
institution Directory Open Access Journal
issn 2352-4847
language English
last_indexed 2024-12-19T06:48:24Z
publishDate 2021-04-01
publisher Elsevier
record_format Article
series Energy Reports
spelling doaj.art-b8f01d2f593d48f88c603f8ee52317c42022-12-21T20:31:50ZengElsevierEnergy Reports2352-48472021-04-017111117Analysis of power system transient stability characteristics with the application of massive transient stability simulation dataHaocheng Yang0Kunkun Niu1Dechao Xu2Shuwen Xu3Sichuan Provincial Key Lab of Power System Wide Area Measurement and Control, School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China; Corresponding author.Sichuan Provincial Key Lab of Power System Wide Area Measurement and Control, School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaState Key Laboratory of Power Grid Safety and Energy Conservation (China Electric Power Research Institute), Haidian District, Beijing 100192, ChinaState Key Laboratory of Power Grid Safety and Energy Conservation (China Electric Power Research Institute), Haidian District, Beijing 100192, ChinaA large number of simulation results will be generated during the calculation of the power system digital simulation. Manual analysis of massive numerical results is inefficient and error-prone. Besides, some imperceptible operating rules of power system operating mode may be ignored. In order to solve these problems, a transient stability assessment method based on deep learning is proposed in this paper. By analyzing simulation data, the relationship between power grid stability characteristics and the set operation mode is constructed. According to these research results, the calculation and analysis of power system transient stability will be effectively supported.http://www.sciencedirect.com/science/article/pii/S235248472100113XPower systemTransient stability simulationBig data
spellingShingle Haocheng Yang
Kunkun Niu
Dechao Xu
Shuwen Xu
Analysis of power system transient stability characteristics with the application of massive transient stability simulation data
Energy Reports
Power system
Transient stability simulation
Big data
title Analysis of power system transient stability characteristics with the application of massive transient stability simulation data
title_full Analysis of power system transient stability characteristics with the application of massive transient stability simulation data
title_fullStr Analysis of power system transient stability characteristics with the application of massive transient stability simulation data
title_full_unstemmed Analysis of power system transient stability characteristics with the application of massive transient stability simulation data
title_short Analysis of power system transient stability characteristics with the application of massive transient stability simulation data
title_sort analysis of power system transient stability characteristics with the application of massive transient stability simulation data
topic Power system
Transient stability simulation
Big data
url http://www.sciencedirect.com/science/article/pii/S235248472100113X
work_keys_str_mv AT haochengyang analysisofpowersystemtransientstabilitycharacteristicswiththeapplicationofmassivetransientstabilitysimulationdata
AT kunkunniu analysisofpowersystemtransientstabilitycharacteristicswiththeapplicationofmassivetransientstabilitysimulationdata
AT dechaoxu analysisofpowersystemtransientstabilitycharacteristicswiththeapplicationofmassivetransientstabilitysimulationdata
AT shuwenxu analysisofpowersystemtransientstabilitycharacteristicswiththeapplicationofmassivetransientstabilitysimulationdata