arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2412.01751eess.SYcs.SY
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考虑基于永磁同步发电机(PMSG)的风力发电机的电厂控制器通信时延估计

Estimation of the Plant Controller Communication Time-Delay Considering PMSG-Based Wind Turbines

Pablo Marchi, Pablo Gill Estevez, Alejandro Otero, Cecilia Galarza

AI总结:

针对逆变器与电厂控制器间通信时延引发风电场振荡的问题,提出基于永磁同步发电机(PMSG)风力发电机数学模型动态状态估计、利用PMU数据的鲁棒时延估计算法,经外部故障场景验证,可在线识别适合控制器模型的时延。

摘要:

逆变器与电厂控制器之间的通信控制时延可由两者间通信链路的多种相关因素引起。在不良条件下,高时延值会导致风电场产生振荡,进而影响电力系统的其他部分。本研究提出一种新的鲁棒方法,供风力发电机利用相量测量单元(PMU)数据估计通信控制时延值。研究考虑了多种模拟外部故障的场景,并基于风力发电机数学模型的动态状态估计评估算法性能。本文表明,可对时延进行表征,为输电系统运营商提供在线工具,以识别动态研究中所用电厂控制器模型的最适合通信时延。

英文摘要:

The communication control delay between the inverters and the power plant controller can be caused by several factors related to the communication link between them. Under undesirable conditions, high delay values can produce oscillations in the wind power plant that can affect the rest of the power system. In this work, we present a new robust methodology for wind turbines to estimate the value of the communication control delay using PMU data. Several scenarios are considered where external faults are simulated and the performance of the algorithm is evaluated based on dynamic state estimation of the mathematical model of the wind turbine. In this paper, we have shown that the characterization of the delay can be performed offering the transmission system operator an online tool to identify the most suited communication delay for the plant controller models used in dynamic studies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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