具有双重时延的电力信息物理系统的同步控制

宋晴 ,  李琰 ,  葛耀东 ,  徐天奇

科学技术与工程 ›› 2024, Vol. 24 ›› Issue (4) :1522-1529

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科学技术与工程 ›› 2024, Vol. 24 ›› Issue (4) :1522-1529 DOI: 10.12404/j.issn.1671-1815.2302372
电工技术

具有双重时延的电力信息物理系统的同步控制

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Synchronous Control of Cyber Power Physical System with Double Latency

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摘要

随着电力系统的安全可靠运行越来越依赖于通信系统,时间延迟也成为影响电力信息物理系统同步的主要因素之一。针对具有双重时延的电力信息物理系统(cyber physical power system, CPPS)的同步问题,设计控制器解决时延对系统同步的影响。首先,搭建具有双重时延的电力信息物理系统模型,然后根据系统模型设计出控制器,并通过构造Lyapunov函数证明控制器的有效性。对于大规模的系统,提出自适应牵制同步控制器,即将控制器添加到按照结构熵筛选出的牵制节点集的节点。结构熵可以解决当节点度相同时牵制节点的选择问题。最后通过两个算例验证了所提方法的可行性。

Abstract

As the safe and reliable operation of the power system becomes more and more dependent on the communication system, time delay has become one of the main factors affecting the synchronization of the cyber physical power system. Aiming at the synchronization problem of cyber physical power system (CPPS) with double delay, the controller was designed to solve the influence of delay on system synchronization. Firstly, a model of the cyber physical power system with double delay was constructed, and then, the controller was designed according to the system model, and the effectiveness of the controller was proved by constructing the Lyapunov function. For large-scale systems, an adaptive containment synchronous controller was proposed, that is, the controller was added to the node of the set of containment nodes filtered according to the structural entropy. Structural entropy can solve the problem of pinning the selection of nodes when the degree of nodes is the same. Finally, two examples were used to verify the feasibility of the proposed method.

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宋晴, 李琰, 葛耀东, 徐天奇. 具有双重时延的电力信息物理系统的同步控制[J]. 科学技术与工程, 2024, 24(4): 1522-1529 DOI:10.12404/j.issn.1671-1815.2302372
SONG Qing, LI Yan, GE Yao-dong, XU Tian-qi. Synchronous Control of Cyber Power Physical System with Double Latency[J]. Science Technology and Engineering, 2024, 24(4): 1522-1529 DOI:10.12404/j.issn.1671-1815.2302372

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基金资助

国家自然科学基金(62062068)

云南省中青年学术和技术带头人后备人才项目(202305AC160077)

云南省教育厅科学基金(2023Y0501)

云南民族大学2022年硕士研究生科研创新基金(2022SKY007)

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