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在电力系统分布式能源协同控制场景中，精确的时延估计对电网稳定运行至关重要。以往的时延估计方法灵活性欠佳或难以适应复杂工况，因此提出一种面向智能电网分布式能源协同控制业务的时延估计周期调整方法。该方法基于网络链路报文收发与监测机制，借助网络端口记录报文发送与接收时间，精准计算时延差值，利用滑动窗口监测报文发送过程，将采集到的时延差值有序累积，构建时延差值队列，精确检测并量化时延抖动程度，依据抖动频率以及预设的调整因子对时延估计周期进行动态优化，进一步提升时延估计精度。实验结果显示，与最小均方自适应时延估计方法相比，所提方法整体时延测量误差均值降低约13.43%，标准差降低近17.11%；与变步长LMS自适应滤波算法相比，所提方法整体时延测量误差均值降低约3.84%，标准差降低近6.47%，有效提高了时延测量精度。
Abstract：In adistributed energy collaborative control scenario of power system,the accurate delay estimation is crucial to the stable operation of power grid. In the previous delay estimation methods,the corresponding flexibility is poor or it is difficult to adapt to complex working conditions. Therefore,a delay estimation cycle adjustment method for smart grid distributed energy collaborative control services is proposed. This method is based on the network link message sending/receiving and monitoring mechanism,records the message sending and receiving time by means of network ports,and accurately calculates the delay difference value. It uses the sliding window to monitor the message sending process,accumulates the collected delay difference value in an orderly manner,builds a delay difference value queue,and accurately detects and quantifies the delay jitter degree. In addition,it dynamically optimizes the delay estimation period based on the jitter frequency and preset adjustment factors,thus further improvingthe delay estimation accuracy. Experimental results show thatthe proposed method can reducethe overall mean delay measurement error and standard deviationby about 13.43% andnearly 17.11% respectivelycompared with the minimum mean square adaptive delay estimation method,and by about 3.84% and nearly 6.47% respectively compared with the variable step-size LMS adaptive filtering algorithm.
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基本信息:
DOI：10.19635/j.cnki.csu-epsa.001638
中图分类号:TM712
引用信息:
[1]郑雅文,顾衍璋,阳浩,等.电力系统分布式能源协同控制的时延估计周期调整方法[J].电力系统及其自动化学报,2026,38(02):76-84.DOI:10.19635/j.cnki.csu-epsa.001638.
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