Simulation Initialization Method for AC/DC Hybrid Power Grid

In order to improve the initialization stability and convergence speed of large-scale AC / DC hybrid power grid, the artificial neural network is used to fit its complex impedance, harmonic, and control characteristics, and then nested into the three-phase fundamental power flow calculation framewor...

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Main Authors: Zhijun E, Zhenbin LI, Bangyu YANG, Wei LIU, Weiping YAO
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2022-08-01
Series:Zhongguo dianli
Subjects:
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202110006
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author Zhijun E
Zhenbin LI
Bangyu YANG
Wei LIU
Weiping YAO
author_facet Zhijun E
Zhenbin LI
Bangyu YANG
Wei LIU
Weiping YAO
author_sort Zhijun E
collection DOAJ
description In order to improve the initialization stability and convergence speed of large-scale AC / DC hybrid power grid, the artificial neural network is used to fit its complex impedance, harmonic, and control characteristics, and then nested into the three-phase fundamental power flow calculation framework based on the improved node method for iterative correction. At the same time, in order to improve the initialization efficiency of large-scale AC / DC hybrid power grid, a parallel initialization calculation method based on multi-port equivalence is proposed. The simulation results of IEEE33 bus and 330 bus AC / DC hybrid power grid with photovoltaic power stations are used to verify the effectiveness of the proposed method.
format Article
id doaj-art-2ece9068dd6645f9b0a51bd0e4352bfa
institution DOAJ
issn 1004-9649
language zho
publishDate 2022-08-01
publisher State Grid Energy Research Institute
record_format Article
series Zhongguo dianli
spelling doaj-art-2ece9068dd6645f9b0a51bd0e4352bfa2025-08-20T02:56:46ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492022-08-0155817818310.11930/j.issn.1004-9649.202110006zgdl-55-08-ezhijunSimulation Initialization Method for AC/DC Hybrid Power GridZhijun E0Zhenbin LI1Bangyu YANG2Wei LIU3Weiping YAO4State Grid Tianjin Electric Power Company, Tianjin 300143, ChinaState Grid Tianjin Electric Power Company, Tianjin 300143, ChinaState Grid Tianjin Electric Power Company, Tianjin 300143, ChinaState Grid Tianjin Electric Power Company, Tianjin 300143, ChinaState Grid Tianjin Electric Power Company, Tianjin 300143, ChinaIn order to improve the initialization stability and convergence speed of large-scale AC / DC hybrid power grid, the artificial neural network is used to fit its complex impedance, harmonic, and control characteristics, and then nested into the three-phase fundamental power flow calculation framework based on the improved node method for iterative correction. At the same time, in order to improve the initialization efficiency of large-scale AC / DC hybrid power grid, a parallel initialization calculation method based on multi-port equivalence is proposed. The simulation results of IEEE33 bus and 330 bus AC / DC hybrid power grid with photovoltaic power stations are used to verify the effectiveness of the proposed method.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202110006electromagnetic transient simulationinitializationac/dc hybrid power gridphotovoltaic power station
spellingShingle Zhijun E
Zhenbin LI
Bangyu YANG
Wei LIU
Weiping YAO
Simulation Initialization Method for AC/DC Hybrid Power Grid
Zhongguo dianli
electromagnetic transient simulation
initialization
ac/dc hybrid power grid
photovoltaic power station
title Simulation Initialization Method for AC/DC Hybrid Power Grid
title_full Simulation Initialization Method for AC/DC Hybrid Power Grid
title_fullStr Simulation Initialization Method for AC/DC Hybrid Power Grid
title_full_unstemmed Simulation Initialization Method for AC/DC Hybrid Power Grid
title_short Simulation Initialization Method for AC/DC Hybrid Power Grid
title_sort simulation initialization method for ac dc hybrid power grid
topic electromagnetic transient simulation
initialization
ac/dc hybrid power grid
photovoltaic power station
url https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202110006
work_keys_str_mv AT zhijune simulationinitializationmethodforacdchybridpowergrid
AT zhenbinli simulationinitializationmethodforacdchybridpowergrid
AT bangyuyang simulationinitializationmethodforacdchybridpowergrid
AT weiliu simulationinitializationmethodforacdchybridpowergrid
AT weipingyao simulationinitializationmethodforacdchybridpowergrid