Supplementary Control of Prime-Mover Speed Governors

Crary, S. B.; McClure, J. B.

doi:10.1109/t-aiee.1942.5058514

Cited by 12 publications

(2 citation statements)

References 6 publications

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“…The modelling of the turbine-governor is of great importance when studying frequency control and stability. Frequency response is an essential aspect of a power system performance [1]. In the literature, it is possible to find models of turbine-governors designed based on human knowledge and some modelling techniques with artificial intelligence such as fuzzy logic, neural networks and genetic algorithms.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Fuzzy C-Means Equivalent Turbine-Governor for Power System Frequency Response

Barrios-Gomez

Sanchez

González-Longatt

et al. 2022

Soft Computing for Data Analytics, Classification Model, and Control

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This research paper proposes a turbine-governor modelling technique based on equivalent FCM (Fuzzy C-Means) for a control area of an equivalent power system used for frequency response analysis. The FCM algorithm implementation is proposed to find an equivalent Fuzzy model of n turbine-governors that are in an area of the electric power system (EPS). The FCM algorithm is mainly used to generate the rules for the fuzzy model;

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Section: Introductionmentioning

confidence: 99%

Data-Driven Fuzzy C-Means Equivalent Turbine-Governor for Power System Frequency Response

Barrios-Gomez

Sanchez

González-Longatt

et al. 2022

Soft Computing for Data Analytics, Classification Model, and Control

View full text Add to dashboard Cite

show abstract

“…1237 studies for frequency control and stability of the electrical system. Thus, it is possible to understand that, the frequency response is a primary aspect of the performance of the power system (PS) [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

System identification applied to a single area electric power system under frequency response

Barrios

Sanchez

González-Longatt

et al. 2021

IJEECS

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This research paper proposes a methodology to apply identification methods to find a simplified model of three different governors in a single area electric power system (SAEPS). A SAEPS with different governors-turbine is presented: a hydraulic turbine, a steam turbine and a steam reheat turbine. In this same investigation, an analytic reduction has been performed, a fifth order system was found analytically, thus a transfer function equivalent to the three different governor-turbine elements was obtained, this equivalent transfer function models the complete behavior of the three devices. Two systems identification (SI) algorithms have been proposed to apply them to this generic subspace state-space (N4SID) and generalized poisson moment functionals (GPMF) electrical system, these presented similar results. The results of the performance and simulation analysis exhibit that using the SI technique, fifth, fourth and third-order systems were obtained that graphically show a very small estimation error compared to the original signal, this fact could be check simulating the simplified models using the same input-output data. The results are presented in a table that shows a comparison of the model respond the fifth, fourth, third and second-order systems.

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Prime Mover Speed Governors and the Interconnected System [includes discussion]

Ipsen

Norton

1953

Trans. AIEE, Part III: Power Appar. Syst.

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Supplementary Control of Prime-Mover Speed Governors

Cited by 12 publications

References 6 publications

Data-Driven Fuzzy C-Means Equivalent Turbine-Governor for Power System Frequency Response

Data-Driven Fuzzy C-Means Equivalent Turbine-Governor for Power System Frequency Response

System identification applied to a single area electric power system under frequency response

Prime Mover Speed Governors and the Interconnected System [includes discussion]

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