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A new approach to parameter identification of generation unit equipped with brushless exciter using estimated field voltage
•The open-loop parameter estimation of the SG and EXS using a new method that estimates field voltage signal.•High accuracy and low computation burden of total parameter estimation process compared to the existing open-loop and closed-loop approaches, respectively.•Using experimental setup and on-li...
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Published in: | International journal of electrical power & energy systems 2022-10, Vol.141, p.108122, Article 108122 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •The open-loop parameter estimation of the SG and EXS using a new method that estimates field voltage signal.•High accuracy and low computation burden of total parameter estimation process compared to the existing open-loop and closed-loop approaches, respectively.•Using experimental setup and on-line tests to verify the applicability of the proposed approach.
Parameter estimation of power plants is one of the main challenges of power system studies. Among different components of a power plant, excitation system (EXS) has great importance because of its effect on dynamic stability of power systems. Thus, it is vital to have accurate models of EXSs for power system dynamic studies. Since the field voltage and current are not accessible in brushless EXSs, parameter estimation of them is more difficult and challenging. Therefore, a new method is proposed in this paper to estimate field voltage signal using other measurements of the synchronous generator (SG). The proposed method is carried out through three stages; 1) parameter estimation of the SG using load rejection tests, 2) field voltage estimation, and 3) parameter estimation of EXS. The proposed method is applied to a 147 MVA industrial gas unit. The estimated model outputs are compared to the experimental results to show the accuracy and effectiveness of the proposed method. |
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ISSN: | 0142-0615 1879-3517 1879-3517 |
DOI: | 10.1016/j.ijepes.2022.108122 |