Analytical Frequency Security Indicators for Two-Region Interconnected Power Systems

Frequency spatial distribution characteristics of interconnected power systems are highlighted, resulting in significant regional frequency differences and inter-region tie-line power fluctuations, posing a threat to frequency security operation. For two-region interconnected power systems, analytic...

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Main Authors: Qiang Zhang, Xinwei Li, Guorong Lan, Xiangxu Wang, Jiakai Shen, Hui Zeng, Peng Yuan, Xiaoheng Zhang, Weidong Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10623177/
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author Qiang Zhang
Xinwei Li
Guorong Lan
Xiangxu Wang
Jiakai Shen
Hui Zeng
Peng Yuan
Xiaoheng Zhang
Weidong Li
author_facet Qiang Zhang
Xinwei Li
Guorong Lan
Xiangxu Wang
Jiakai Shen
Hui Zeng
Peng Yuan
Xiaoheng Zhang
Weidong Li
author_sort Qiang Zhang
collection DOAJ
description Frequency spatial distribution characteristics of interconnected power systems are highlighted, resulting in significant regional frequency differences and inter-region tie-line power fluctuations, posing a threat to frequency security operation. For two-region interconnected power systems, analytical expressions for regional frequency and inter-regional tie-line power are derived based on the low-order frequency response model. By dividing the fast-varying part and the slow-varying part of the above analytical expressions, analytical frequency security indicators including nadir value, quasi-steady-state value, maximum rate value of regional frequency, and peak value, quasi-steady-state value of inter-regional tie-line power are derived. By dividing the fast-varying part and slow-varying part of the aforementioned analytical expressions, we further derived analytical frequency security indicators, including nadir value, quasi-steady-state value, maximum rate value of regional frequency, and peak value, quasi-steady-state value of inter-area tie-line power. Through case studies based on the IEEE 2-region 4-machine system, the results indicate that the obtained analytical frequency security indicators can accurately describe the frequency dynamics following a major disturbance for two-region interconnected power systems.
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institution Kabale University
issn 2169-3536
language English
publishDate 2024-01-01
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series IEEE Access
spelling doaj-art-d92746327aae407ea5a01ec21a3f79ec2025-08-20T03:29:23ZengIEEEIEEE Access2169-35362024-01-011210764510765510.1109/ACCESS.2024.343828610623177Analytical Frequency Security Indicators for Two-Region Interconnected Power SystemsQiang Zhang0Xinwei Li1Guorong Lan2https://orcid.org/0009-0002-8303-2843Xiangxu Wang3https://orcid.org/0000-0001-6336-7959Jiakai Shen4https://orcid.org/0000-0002-5602-0903Hui Zeng5Peng Yuan6Xiaoheng Zhang7Weidong Li8https://orcid.org/0000-0002-1780-8431State Grid Liaoning Electric Power Research Institute, Shenyang, ChinaState Grid Liaoning Electric Power Research Institute, Shenyang, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian, ChinaChina Electric Power Research Institute, Beijing, ChinaState Grid Liaoning Electric Power Research Institute, Shenyang, ChinaState Grid Liaoning Electric Power Research Institute, Shenyang, ChinaState Grid Liaoning Electric Power Research Institute, Shenyang, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian, ChinaFrequency spatial distribution characteristics of interconnected power systems are highlighted, resulting in significant regional frequency differences and inter-region tie-line power fluctuations, posing a threat to frequency security operation. For two-region interconnected power systems, analytical expressions for regional frequency and inter-regional tie-line power are derived based on the low-order frequency response model. By dividing the fast-varying part and the slow-varying part of the above analytical expressions, analytical frequency security indicators including nadir value, quasi-steady-state value, maximum rate value of regional frequency, and peak value, quasi-steady-state value of inter-regional tie-line power are derived. By dividing the fast-varying part and slow-varying part of the aforementioned analytical expressions, we further derived analytical frequency security indicators, including nadir value, quasi-steady-state value, maximum rate value of regional frequency, and peak value, quasi-steady-state value of inter-area tie-line power. Through case studies based on the IEEE 2-region 4-machine system, the results indicate that the obtained analytical frequency security indicators can accurately describe the frequency dynamics following a major disturbance for two-region interconnected power systems.https://ieeexplore.ieee.org/document/10623177/Frequency security indicatorsinterconnected power systemsfrequency nadirinter-regional tie-line poweranalytical method
spellingShingle Qiang Zhang
Xinwei Li
Guorong Lan
Xiangxu Wang
Jiakai Shen
Hui Zeng
Peng Yuan
Xiaoheng Zhang
Weidong Li
Analytical Frequency Security Indicators for Two-Region Interconnected Power Systems
IEEE Access
Frequency security indicators
interconnected power systems
frequency nadir
inter-regional tie-line power
analytical method
title Analytical Frequency Security Indicators for Two-Region Interconnected Power Systems
title_full Analytical Frequency Security Indicators for Two-Region Interconnected Power Systems
title_fullStr Analytical Frequency Security Indicators for Two-Region Interconnected Power Systems
title_full_unstemmed Analytical Frequency Security Indicators for Two-Region Interconnected Power Systems
title_short Analytical Frequency Security Indicators for Two-Region Interconnected Power Systems
title_sort analytical frequency security indicators for two region interconnected power systems
topic Frequency security indicators
interconnected power systems
frequency nadir
inter-regional tie-line power
analytical method
url https://ieeexplore.ieee.org/document/10623177/
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AT xiangxuwang analyticalfrequencysecurityindicatorsfortworegioninterconnectedpowersystems
AT jiakaishen analyticalfrequencysecurityindicatorsfortworegioninterconnectedpowersystems
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