A Branch-independence-based Reliability Assessment Approach for Transmission Systems
This paper proposes a branch-independence-based reliability assessment approach for transmission systems. The approach consists of branch decoupling and state-space partition techniques. By integrating an impact-increment-based reliability index calculation model and the proposed branch decoupling t...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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IEEE
2023-01-01
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Series: | Journal of Modern Power Systems and Clean Energy |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9673694/ |
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author | Shuonan Hou Pei Zhang Wei Zhang Qian Xiao Xiaonan Liu |
author_facet | Shuonan Hou Pei Zhang Wei Zhang Qian Xiao Xiaonan Liu |
author_sort | Shuonan Hou |
collection | DOAJ |
description | This paper proposes a branch-independence-based reliability assessment approach for transmission systems. The approach consists of branch decoupling and state-space partition techniques. By integrating an impact-increment-based reliability index calculation model and the proposed branch decoupling technique, a proportion of sampled contingency states no longer need to be analyzed using the time-consuming optimal power flow (OPF) algorithm. In this way, the technique speeds up the calculation of reliability indices. Since first-order contingency states have a high probability of being sampled, we propose a state-space partition technique to replace first-order contingency state simulation with first-order contingency state enumeration. Consequently, the calculation of reliability indices is further accelerated by avoiding a large amount of repetitive OPF analyses during simulation process without affecting reliability index accuracy. The validity and applicability of our approach are verified using the IEEE 118-bus and IEEE 145-bus systems. Numerical results indicate that the proposed approach can improve computational efficiency without decreasing accuracy. |
first_indexed | 2024-04-09T21:23:26Z |
format | Article |
id | doaj.art-14ffd8cdcf50465089f3ee3a03aaa170 |
institution | Directory Open Access Journal |
issn | 2196-5420 |
language | English |
last_indexed | 2024-04-09T21:23:26Z |
publishDate | 2023-01-01 |
publisher | IEEE |
record_format | Article |
series | Journal of Modern Power Systems and Clean Energy |
spelling | doaj.art-14ffd8cdcf50465089f3ee3a03aaa1702023-03-27T23:00:46ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202023-01-0111265166110.35833/MPCE.2021.0002429673694A Branch-independence-based Reliability Assessment Approach for Transmission SystemsShuonan Hou0Pei Zhang1Wei Zhang2Qian Xiao3Xiaonan Liu4Key Laboratory of Smart Grid of Ministry of Education, Tianjin University,Tianjin,ChinaSchool of Electrical Engineering, Beijing Jiaotong University,Beijing,ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications,Beijing,ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University,Tianjin,ChinaState Grid Tianjin Electric Power Research Institute,Tianjin,ChinaThis paper proposes a branch-independence-based reliability assessment approach for transmission systems. The approach consists of branch decoupling and state-space partition techniques. By integrating an impact-increment-based reliability index calculation model and the proposed branch decoupling technique, a proportion of sampled contingency states no longer need to be analyzed using the time-consuming optimal power flow (OPF) algorithm. In this way, the technique speeds up the calculation of reliability indices. Since first-order contingency states have a high probability of being sampled, we propose a state-space partition technique to replace first-order contingency state simulation with first-order contingency state enumeration. Consequently, the calculation of reliability indices is further accelerated by avoiding a large amount of repetitive OPF analyses during simulation process without affecting reliability index accuracy. The validity and applicability of our approach are verified using the IEEE 118-bus and IEEE 145-bus systems. Numerical results indicate that the proposed approach can improve computational efficiency without decreasing accuracy.https://ieeexplore.ieee.org/document/9673694/Branch decouplingimpact incrementoptimal power flow (OPF)reliability assessmentstate-space partitiontransmission system |
spellingShingle | Shuonan Hou Pei Zhang Wei Zhang Qian Xiao Xiaonan Liu A Branch-independence-based Reliability Assessment Approach for Transmission Systems Journal of Modern Power Systems and Clean Energy Branch decoupling impact increment optimal power flow (OPF) reliability assessment state-space partition transmission system |
title | A Branch-independence-based Reliability Assessment Approach for Transmission Systems |
title_full | A Branch-independence-based Reliability Assessment Approach for Transmission Systems |
title_fullStr | A Branch-independence-based Reliability Assessment Approach for Transmission Systems |
title_full_unstemmed | A Branch-independence-based Reliability Assessment Approach for Transmission Systems |
title_short | A Branch-independence-based Reliability Assessment Approach for Transmission Systems |
title_sort | branch independence based reliability assessment approach for transmission systems |
topic | Branch decoupling impact increment optimal power flow (OPF) reliability assessment state-space partition transmission system |
url | https://ieeexplore.ieee.org/document/9673694/ |
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