{"title":"具有不确定性和网络攻击的电动汽车充电站电流共享控制策略","authors":"Xu Tian, Chuanyu Jiang, Benhua Qian, Rui Wang","doi":"10.1049/esi2.12120","DOIUrl":null,"url":null,"abstract":"<p>Although the electric vehicle supplied through distributed generators (DGs) is one of the most promising methods to reduce carbon emission and has been widely studied, the accurate current sharing regarding multi-bus DC charging stations considering uncertainties and network attacks is rarely studied. Based on this, a fully distributed current sharing control strategy is presented, which can improve the reliability of system under denial of service (DoS). Firstly, the DC charging station system (DCCSS) with uncertainties is modelled. Primary control is designed to provide stable voltage and inaccurate current sharing. Furthermore, the state-space function considering power coupling among different DC buses is built, which lays the foundation for the design of the following control. Then, the model of DoS attacks is proposed. Based on this, the fully distributed consensus control is proposed to achieve the accurate current sharing for DCCSS under DoS. Meanwhile, a method for solving the control gain without global information is given and proved. Moreover, it can be solved by LMI toolbox. As a comparison, a common control strategy is introduced that only considers the uncertainties. Finally, the feasibility of the proposed method is verified through comparison of simulation results.</p>","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"6 3","pages":"230-241"},"PeriodicalIF":1.6000,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.12120","citationCount":"0","resultStr":"{\"title\":\"Current sharing control strategy with uncertainties and network attacks for electric vehicle charging station\",\"authors\":\"Xu Tian, Chuanyu Jiang, Benhua Qian, Rui Wang\",\"doi\":\"10.1049/esi2.12120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Although the electric vehicle supplied through distributed generators (DGs) is one of the most promising methods to reduce carbon emission and has been widely studied, the accurate current sharing regarding multi-bus DC charging stations considering uncertainties and network attacks is rarely studied. Based on this, a fully distributed current sharing control strategy is presented, which can improve the reliability of system under denial of service (DoS). Firstly, the DC charging station system (DCCSS) with uncertainties is modelled. Primary control is designed to provide stable voltage and inaccurate current sharing. Furthermore, the state-space function considering power coupling among different DC buses is built, which lays the foundation for the design of the following control. Then, the model of DoS attacks is proposed. Based on this, the fully distributed consensus control is proposed to achieve the accurate current sharing for DCCSS under DoS. Meanwhile, a method for solving the control gain without global information is given and proved. Moreover, it can be solved by LMI toolbox. As a comparison, a common control strategy is introduced that only considers the uncertainties. Finally, the feasibility of the proposed method is verified through comparison of simulation results.</p>\",\"PeriodicalId\":33288,\"journal\":{\"name\":\"IET Energy Systems Integration\",\"volume\":\"6 3\",\"pages\":\"230-241\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.12120\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Energy Systems Integration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/esi2.12120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Energy Systems Integration","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/esi2.12120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
摘要
尽管通过分布式发电机(DGs)为电动汽车供电是减少碳排放的最有前途的方法之一,并已被广泛研究,但考虑到不确定性和网络攻击的多总线直流充电站的精确分流却很少被研究。基于此,本文提出了一种全分布式分流控制策略,可提高拒绝服务(DoS)下的系统可靠性。首先,对具有不确定性的直流充电站系统(DCCSS)进行建模。设计了初级控制,以提供稳定的电压和不准确的电流共享。此外,还建立了考虑不同直流母线间功率耦合的状态空间函数,为后续控制的设计奠定了基础。然后,提出了 DoS 攻击模型。在此基础上,提出了全分布式共识控制,以实现 DoS 下 DCCSS 的精确电流共享。同时,给出并证明了无全局信息控制增益的求解方法。此外,该方法可通过 LMI 工具箱求解。作为对比,介绍了一种只考虑不确定性的普通控制策略。最后,通过对仿真结果的比较,验证了所提方法的可行性。
Current sharing control strategy with uncertainties and network attacks for electric vehicle charging station
Although the electric vehicle supplied through distributed generators (DGs) is one of the most promising methods to reduce carbon emission and has been widely studied, the accurate current sharing regarding multi-bus DC charging stations considering uncertainties and network attacks is rarely studied. Based on this, a fully distributed current sharing control strategy is presented, which can improve the reliability of system under denial of service (DoS). Firstly, the DC charging station system (DCCSS) with uncertainties is modelled. Primary control is designed to provide stable voltage and inaccurate current sharing. Furthermore, the state-space function considering power coupling among different DC buses is built, which lays the foundation for the design of the following control. Then, the model of DoS attacks is proposed. Based on this, the fully distributed consensus control is proposed to achieve the accurate current sharing for DCCSS under DoS. Meanwhile, a method for solving the control gain without global information is given and proved. Moreover, it can be solved by LMI toolbox. As a comparison, a common control strategy is introduced that only considers the uncertainties. Finally, the feasibility of the proposed method is verified through comparison of simulation results.