基于COA算法优化大数据传输PDU及TPDU参数的保信主站通信方式

doi:10.11930/j.issn.1004-9649.202408057

摘要/Abstract

摘要：

针对故障录波大数据传输过程中的重要参数协议数据单元（protocol data unit，PDU）及传输层数据协议单元（transport protocol data unit，TPDU），提出应用长鼻浣熊算法（coati optimization algorithm，COA）优化技术的保信主子站通信方式。基于保信系统网络架构及其PDU以及TPDU参数对网络流量的影响，建立考虑录波通信时长约束与瞬时流量约束的最大流量通信模型，同时引入COA算法进行参数优化，实现该背景下最优带宽配置。开展多类别变电站通信业务测试，并考虑极限情况下通信网络压力测试，所提方法能有效提升变电站信息传输能力以及可靠性。

关键词: 保信系统, 故障录波, 通信限制

Abstract:

Aiming at the important parameters of protocol data unit (PDU) and transport protocol data unit (TPDU) in the process of fault and big data transmission, this paper proposes a communication mode of the main substation with guaranteed confidence based on the optimization technique of coati optimization algorithm (COA). Based on network architecture of the guarantee system and its PDU and TPDU parameters, this paper establishes a maximum flow communication model considering the constraints of recording communication duration and instantaneous flow, and COA algorithm is introduced to optimize the parameters, so as to realize the optimal bandwidth configuration under this background. The test of multi-category substation communication services is carried out and the stress test of communication network under extreme conditions is considered. The proposed method can effectively improve the information transmission capability and reliability of the substation.

Key words: relay protection information system, fault recorder, communication constraints

阳斌, 甄家林, 刘玮, 熊威. 基于COA算法优化大数据传输PDU及TPDU参数的保信主站通信方式[J]. 中国电力, 2025, 58(6): 83-89.

YANG Bin, ZHEN Jialin, LIU Wei, XIONG Wei. The Communication Mode of The Master Station Based on COA Algorithm to Optimize PDU and TPDU Parameters of Large Data Transmission[J]. Electric Power, 2025, 58(6): 83-89.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202408057

https://www.electricpower.com.cn/CN/Y2025/V58/I6/83

图/表 6

图 1 保信系统网络架构

Fig.1 NETWORK ARCHITECTURE OF RELAY INFORMATION SYSTEM

图 2 基于COA算法的参数优化流程

Fig.2 Parameter optimization process based on COA algorithm

图 3 无TPDU发送间隔多站召唤录波流量

Fig.3 No TPDU delay interval multi-station summoning recording traffic

图 4 TPDU发送间隔6 ms多站召唤录波流量

Fig.4 Variable remote signaling pressure superimposed large file summoning recording traffic

图 5 子主站断开重连后总召并叠加录波文件召唤录波流量

Fig.5 Reconnecting while summoning the traffic of the recording file

图 6 两主站同时召唤定值录波流量

Fig.6 The two masters summon a fixed amount of recorded traffic at the same time

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