{"id":9797,"date":"2026-08-09T14:39:12","date_gmt":"2026-08-09T06:39:12","guid":{"rendered":"\/jase\/?post_type=tkuisotope&#038;p=9797"},"modified":"2026-08-09T16:03:46","modified_gmt":"2026-08-09T08:03:46","slug":"jase-202611-34-030","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202611-34-030","title":{"rendered":"Research on abnormal detection of transmission lines in high-risk areas on the distribution network side under extreme weather conditions"},"content":{"rendered":"\n<div class=\"wp-block-tkuwpbs5-bs5-row row article-info\">\n<div class=\"wp-block-tkuwpbs5-bs5-column col-md-3 align-self-start\">\n<p><i class=\"fa fa-folder\" aria-hidden=\"true\"><\/i>&nbsp;<a href=\"\/jase\/?page_id=807\" data-type=\"page\" data-id=\"807\">2026<\/a><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-tkuwpbs5-bs5-column col-md-3 align-self-start\">\n<p><i class=\"fa fa-folder-open\" aria-hidden=\"true\"><\/i>&nbsp;<a href=\"\/jase\/?page_id=9439\" data-type=\"page\" data-id=\"9439\">Volume 34<\/a><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-tkuwpbs5-bs5-column col-md-6 align-self-start\">\n<div class=\"wp-block-tkuwpbs5-bs5-div dv_publish\" data-aos=\"normal\"><div class=\"wp-block-post-date\"><time datetime=\"2026-08-09T14:39:12+08:00\">2026-08-09<\/time><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-tkuwpbs5-bs5-row row\">\n<div class=\"wp-block-tkuwpbs5-bs5-column col-md-5 align-self-start\">\n<div class=\"wp-block-tkuwpbs5-bs5-div au-ol\" data-aos=\"normal\">\n<p>Anjiang Liu<a href=\"mailto:leeli@hust.edu.cn\"><i class=\"fa fa-envelope\"><\/i><\/a>, Youzhuo Zheng, Di Weng, Hengrong Zhang, and Xinhao Li<\/p>\n\n\n\n<p style=\"font-size:14px\">Electric Power Research Institute, Guizhou Power Grid Co., Ltd, Guiyang, 550002, China<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-tkuwpbs5-bs5-div\" style=\"margin-top:var(--wp--preset--spacing--40)\" data-aos=\"normal\">\n<p>Received: May 04, 2026<br>Accepted:&nbsp;July 12, 2026<br>Publication Date:&nbsp;August 09, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-tkuwpbs5-bs5-column col-md-7 align-self-start clk=\u5716\u7247\"><img decoding=\"async\" src=\"\/jase\/wp-content\/uploads\/2026\/08\/34_030.jpg\" class=\"img-fluid img-fluid mx-auto d-block\" alt=\"\u4e0a\u50b3\u5716\u7247\">\n\n\n<p class=\"has-text-align-center\">Three&nbsp;scenarios of the&nbsp;recovery&nbsp;process&nbsp;<\/p>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-small-font-size\"><i class=\"fab fa-creative-commons\"><\/i>&nbsp;<strong>Copyright&nbsp;<\/strong>The Author(s). This is an open access article distributed under the terms of the&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" target=\"_blank\">Creative Commons Attribution&nbsp;License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n<p>Download Citation:\u00a0 <a href=\"\/jase\/wp-content\/uploads\/2026\/08\/V34.0030.txt\" data-type=\"attachment\" data-id=\"9813\" target=\"_blank\" rel=\"noreferrer noopener\">BibTeX <\/a>| <a rel=\"noreferrer noopener\" href=\"http:\/\/dx.doi.org\/10.6180\/jase.202611_34.030\" target=\"_blank\">http:\/\/dx.doi.org\/10.6180\/jase.202611_34.030<\/a>\u00a0\u00a0<\/p>\n\n\n\n<p class=\"btn btn-primary article-btn\"><a href=\"\/jase\/wp-content\/uploads\/2026\/08\/030_2026_0599_V34.pdf\" data-type=\"attachment\" data-id=\"9783\" target=\"_blank\" rel=\"noreferrer noopener\">Download PDF<\/a><\/p>\n\n\n\n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>This paper presents an integrated electric-gas energy system fault recovery method based on bidirectional coupled devices. Simulation examples of an IEEE 13-node electric system and a 6-node natural gas system are used to validate the effectiveness of the method. YALMIP is used to model the simulations in the MATLAB environment, while CPLEX is used to solve the optimization issue. Three recovery strategies are compared under the system failure scenarios: independent failure recovery, failure recovery with GFT coupling only, and failure recovery taking into account both GFT and P2G coupling. The power and natural gas systems are bi-directionally coupled through one GFT and one P2G device. The outcomes demonstrate that the recovery strategy that incorporates the consideration of two-way coupled devices can greatly enhance the recovery of natural gas and electricity loads. Scenario 3\u2019 s total recovery is 41,488.12, which is 66.64% and 55.94% of Scenario 1 and Scenario 2\u2019 s respective recoveries. Through a detailed analysis of the changes in network topology and the output of energy conversion equipment during the recovery process, the resilience and effectiveness of the method presented in this study under various fault scenarios are confirmed.<\/p>\n\n\n\n<p><em>Keywords:&nbsp;integrated electric-gas energy system, fault recovery, two-way coupling, GFT, P2G, supply reliability<\/em>.<\/p>\n\n\n\n<div style=\"height:2rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-tkuwpbs5-bs5-div ref_ol\" data-aos=\"normal\">\n<ol>\n<li>[1] N. M. Sami and M. Naeini, (2024) \u201cMachine Learning Applications in Cascading Failure Analysis in Power Systems: A Review\u201d Electric Power Systems Research 232: 110415. DOI: 10.1016\/j.epsr.2024.110415.<\/li>\n<li>[2] X. Fu et al., (2023) \u201cTolerance Analysis of Cyber-Manufacturing Systems to Cascading Failures\u201d ACM Transactions on Internet Technology 23(4): 1\u201323. DOI: 10.1145\/3579847.<\/li>\n<li>[3] B. Rolf et al., (2023) \u201cA Review on Reinforcement Learning Algorithms and Applications in Supply Chain Management\u201d International Journal of Production Research 61(20): 7151\u20137179. DOI: 10.1080 \/ 00207543.2022.2140221.<\/li>\n<li>[4] L. He et al., (2023) \u201cResearch Progress of Microwave Plasma Ignition and Assisted Combustion\u201d Chinese Journal of Aeronautics 36(12): 53\u201376. DOI: 10.1016\/j.cja.2023.04.029.<\/li>\n<li>[5] J. P. Futalef et al. \u201cAn Importance Function to Generate Scenarios for Training a Grey-Box Model for the Computational Risk Assessment of Cyber-Physical Systems\u201d. In: Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023). 2023, 2130\u20132137. DOI: 10.3850\/978-981-18-8071-1_P684-cd.<\/li>\n<li>[6] Y. Li et al., (2023) \u201cDynamic Prediction and Driving Factors of Carbon Emission in Beijing, China, under Carbon Neutrality Targets\u201d Atmosphere 14(5): 798. DOI: 10.3390\/atmos14050798.<\/li>\n<li>[7] S. Ghorbany, S. Yousefi, and E. Noorzai, (2024) \u201cEvaluating and Optimizing Performance of Public\u2013Private Partnership Projects Using Copula Bayesian Network\u201d Engineering, Construction and Architectural Management 31(1): 290\u2013323. DOI: 10.1108 \/ ECAM-05-2022-0492.<\/li>\n<li>[8] J. Fang, D. Liu, and K. T. Chi. \u201cPredicting Onset Time of Cascading Failure in Power Systems Using a Neural Network-Based Classifier\u201d. In: Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS). 2022, 3522\u20133526. DOI: 10.1109\/ISCAS48785.2022.9937800.<\/li>\n<li>[9] A. Varbella, B. Gjorgiev, and G. Sansavini, (2023) \u201cGeometric Deep Learning for Online Prediction of Cascading Failures in Power Grids\u201d Reliability Engineering &amp; System Safety 237: 109341. DOI: 10.1016\/j.ress.2023.109341.<\/li>\n<li>[10] S. He et al., (2022) \u201cFast Identification of Vulnerable Set for Cascading Failure Analysis in Power Grid\u201d IEEE Transactions on Industrial Informatics 19(4): 5645\u20135655. DOI: 10.1109\/TII.2022.3202917.<\/li>\n<li>[11] X. Li, T. Pan, and K. Pan, (2022) \u201cIdentification of Key Components after Unintentional Failures for Cascading Failure Protection\u201d IEEE Transactions on Network Science and Engineering 10(2): 1003\u20131014. DOI: 10.1109\/TNSE.2022.3225459.<\/li>\n<li>[12] R. Feng, (2024) \u201cMulti-Scale Deep Learning-Based University Financial System: Hardware Design and Database Integration\u201d Journal of Combinatorial Mathematics and Combinatorial Computing 120: 337\u2013344. DOI: 10.61091\/jcmcc120-30.<\/li>\n<li>[13] Z. Guo et al., (2023) \u201cA Review on Simulation Models of Cascading Failures in Power Systems\u201d iEnergy 2(4): 284\u2013296. DOI: 10.23919\/IEN.2023.0039.<\/li>\n<li>[14] Y. Liu, T. Wang, and J. Guo, (2022) \u201cIdentification of Vulnerable Branches Considering Spatiotemporal Characteristics of Cascading Failure Propagation\u201d Energy Reports 8: 7908\u20137916. DOI: 10.1016\/j.egyr.2022.06.016.<\/li>\n<li>[15] S. Lonapalawong et al., (2022) \u201cInterpreting the Vulnerability of Power Systems in Cascading Failures Using Multi-Graph Convolutional Networks\u201d Frontiers of Information Technology &amp; Electronic Engineering 23(12): 1848\u20131861. DOI: 10.1631\/FITEE.2200035.<\/li>\n<\/ol>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"author":3,"template":"wp-custom-template-detail-4-aricles","meta":{"_uag_custom_page_level_css":""},"categories":[12,1682,6],"tags":[1712],"acf":[],"uagb_featured_image_src":[],"uagb_author_info":{"display_name":"\u6797\u923a\u6db5","author_link":"\/jase\/?author=3"},"uagb_comment_info":0,"uagb_excerpt":"&nbsp;Copyright&nbsp;The Author(s). This is an open access article distributed under the terms of the&nbsp;Creative Commons Attribution&nbsp;License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited. Download Citation:\u00a0 BibTeX | http:\/\/dx.doi.org\/10.6180\/jase.202611_34.030\u00a0\u00a0 Download PDF This paper presents an integrated electric-gas energy system fault recovery method&hellip;","_links":{"self":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/tkuisotope\/9797"}],"collection":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/tkuisotope"}],"about":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/types\/tkuisotope"}],"author":[{"embeddable":true,"href":"\/jase\/index.php?rest_route=\/wp\/v2\/users\/3"}],"wp:attachment":[{"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9797"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9797"},{"taxonomy":"post_tag","embeddable":true,"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9797"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}