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考虑资源弹性配置的配电网保护控制终端协同任务分配方法

Collaborative task allocation method for protection and control intelligent terminal in distribution networks considering elastic allocation of resources
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摘要 随着新型电力系统的发展,利用智能终端处理愈发复杂的配电网保护控制任务时,对资源供给与需求的平衡要求越来越高。因此,文中提出一种考虑资源弹性配置的配电网保护控制终端(protect and control intelligent terminal,PCIT)协同任务优化分配方法。首先,阐述多终端协同的技术架构,并建立基于容器的PCIT的弹性资源模型、任务处理模型。其次,提出双层模型用于优化保护控制任务在终端间的协同分配、资源的弹性调度,并利用隐枚举法对该模型进行求解,从而充分发挥任务处理时资源的灵活性,提升任务处理性能。最后,算例验证了文中所提方法的可行性与先进性,各智能终端计算资源的占用率降低约28.85%,任务平均处理延时减少约4.12%。 With the development of new power systems,the protection and control tasks of distribution networks have become increasingly complex.When intelligent terminals are employed to handle these tasks,the requirements for balancing resource supply and demand have become move stringent.Therefore,a collaborative task allocation method for protection and control intelligent terminals(PCIT)in distribution networks considering elastic allocation of resources is proposed in this paper.Firstly,the technical architecture of multi-terminal collaboration is elaborated,and the container-based elastic resource model and task processing model within the terminal are established.Secondly,a two-layer model is proposed to optimize the cooperative assignment of protection control tasks among terminals and the elastic scheduling of resources.The implicit enumeration method is used to solve the model,so as to give full play to the flexibility of resources and improve the performance of task processing.Finally,the arithmetic example verifies the feasibility and advancement of the proposed method.The occupancy rate of computing resources of each intelligent terminal is reduced by about 28.85%,and the average processing delay of tasks is reduced by about 4.12%.
作者 刘媛媛 陈元榉 蔡泽祥 刘文泽 屈径 胡凯强 LIU Yuanyuan;CHEN Yuanju;CAI Zexiang;LIU Wenze;QU Jing;HU Kaiqiang(School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,China;China Southern Power Grid Power Technology Co.,Ltd.,Guangzhou 510630,China)
出处 《电力工程技术》 北大核心 2024年第5期100-111,共12页 Electric Power Engineering Technology
基金 广东省重点领域研发计划资助项目(2019B1111-09002)。
关键词 资源弹性配置 保护控制终端(PCIT) 容器 协同优化 双层模型 隐枚举法 resource elastic allocation protection and control intelligent terminal(PCIT) container collaborative optimization double-layer model implicit enumeration method
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