Online Identification of Synchronous Generator Electromechanical Parameters for Intelligent Control Problems

IF 0.3 Q4 ENERGY & FUELS
M. Frolov, R.Yu. Stepanovich, N. N. Lizalek, I. Dulov
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引用次数: 0

Abstract

The control system intelligence is determined by the ability to adapt to changing circuit-mode parameters. This approach is especially relevant for emergency automation, because the emer-gency depends on the huge number of factors. In addition, an accident can develop in cascade, causing uncontrolled and multiple changes in the grid topology and mode parameters. The for-mation of the control actions volume of emergency automatics is carried out on the basis of the computing of the mode on mathematical models of electrical grids, the accuracy of which de-termines the adequacy of the actions of automation, so the models verifying problem arises, in-cluding electromechanical parameters determining of the grid elements. The aim of the research is to develop methods for parameter identification of synchronous generators. The paper pre-sents two methods for identifying the synchronous generator constant inertia and the method for identifying the synchronous inductive resistance. The research of the proposed methods was carried out on the digital model assembled in MatLab Simulink, where the 200 MVA 13.8 kV generator was simulated. In addition, the research was performed using the physical electrody-namic model. The parameters of the generator 3000 VA 230 V were determined. The results of parameters determining by the classical methods of open-circuit and short-circuit are presented. The significance of these methods is that the generator is connected to the grid and is in an op-eration mode. This will make possible to form and refine the model online in accordance with the circuit-mode situation, which will increase the control actions adequacy.
面向智能控制问题的同步发电机机电参数在线辨识
控制系统的智能由适应不断变化的电路模式参数的能力决定。这种方法与应急自动化特别相关,因为应急机构取决于大量因素。此外,事故可能会级联发展,导致电网拓扑结构和模式参数发生不受控制的多次变化。应急自动化控制动作量的确定是在电网数学模型上计算模式的基础上进行的,其准确性决定了自动化动作的充分性,因此产生了模型验证问题,包括电网元件的机电参数确定。本研究的目的是开发同步发电机参数识别的方法。本文提出了两种识别同步发电机恒定惯量的方法和识别同步感应电阻的方法。在MatLab Simulink中组装的数字模型上对所提出的方法进行了研究,并对200MVA 13.8kV发电机进行了仿真。此外,该研究还采用了物理动力学模型。确定了发电机3000 VA 230 V的参数。给出了用经典开路法和短路法确定参数的结果。这些方法的意义在于发电机连接到电网并处于运行模式。这将使根据电路模式情况在线形成和完善模型成为可能,这将提高控制动作的充分性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.70
自引率
33.30%
发文量
38
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