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{"title":"Grounding Grids Corrosion Evaluation of Electrified Railway Based on Two-Stage Optimization Algorithm","authors":"Minwu Chen, Yanyang Zhang, Jiadong Han, Yu Cao, Shuai Wang","doi":"10.1002/tee.24219","DOIUrl":null,"url":null,"abstract":"<p>Due to the complex soil environment and continuous traction ground return, the electrified railway grounding grids (ERGG) are easily susceptible to corrosion, which seriously threatens the safe operation of the traction power supply system (TPSS). In this paper, the corrosion evaluation model is presented based on electrical network theory. In order to solve the equations with multi-variable and high-dimension characteristics of the model, a two-stage optimization (TSO) algorithm is proposed. In the first stage, the CPLEX solver (CPLEX optimizer produced by IBM) is adopted to obtain the resistance value of multiple branches, which provides the initial solver and search scope for the next step. In the second stage, the particle swarm optimization (PSO) algorithm is used to determine the optimal solution so as to minimize the node potential difference. Finally, a corrosion experimental system is designed and established to verify the effectiveness of the above algorithm. The results show that TSO algorithm can accurately diagnose the corrosion state of grounding conductors and adapt to the various scenarios of ERGG. © 2024 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 3","pages":"440-453"},"PeriodicalIF":1.0000,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEJ Transactions on Electrical and Electronic Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/tee.24219","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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Abstract
Due to the complex soil environment and continuous traction ground return, the electrified railway grounding grids (ERGG) are easily susceptible to corrosion, which seriously threatens the safe operation of the traction power supply system (TPSS). In this paper, the corrosion evaluation model is presented based on electrical network theory. In order to solve the equations with multi-variable and high-dimension characteristics of the model, a two-stage optimization (TSO) algorithm is proposed. In the first stage, the CPLEX solver (CPLEX optimizer produced by IBM) is adopted to obtain the resistance value of multiple branches, which provides the initial solver and search scope for the next step. In the second stage, the particle swarm optimization (PSO) algorithm is used to determine the optimal solution so as to minimize the node potential difference. Finally, a corrosion experimental system is designed and established to verify the effectiveness of the above algorithm. The results show that TSO algorithm can accurately diagnose the corrosion state of grounding conductors and adapt to the various scenarios of ERGG. © 2024 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
基于两阶段优化算法的电气化铁路接地网腐蚀评价
电气化铁路接地网由于复杂的土壤环境和连续的牵引回地,极易发生腐蚀,严重威胁着牵引供电系统的安全运行。本文提出了基于电网络理论的腐蚀评价模型。为了求解模型中具有多变量高维特征的方程组,提出了一种两阶段优化算法。第一阶段采用CPLEX求解器(IBM生产的CPLEX优化器)获取多支路的电阻值,为下一步提供初始求解器和搜索范围。第二阶段,采用粒子群优化(PSO)算法确定最优解,使节点电位差最小。最后,设计并建立了腐蚀实验系统,验证了上述算法的有效性。结果表明,TSO算法能够准确诊断接地导线的腐蚀状态,适应ERGG的各种场景。©2024日本电气工程师学会。Wiley期刊有限责任公司出版。
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