Virtual Visualization of Generator Operation Condition through Generator Capability Curve

Autor: Chun-Yao Lee, Maickel Tuegeh
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Energies, Vol 14, Iss 1, p 185 (2021)
Druh dokumentu: article
ISSN: 1996-1073
DOI: 10.3390/en14010185
Popis: Besides achieving an optimal scheduling generator, the operation safety of the generator itself needs to be focused on. The development of the virtual visualization of a generator capability curve simulation to visualize the operation condition of a generator is proposed in this paper. In this paper, a neural network is applied to redraw the original generator’s capability curve. The virtual visualization of a generator’s capability curve can simulate the generator’s operating condition considering the limitation of the constraints on the various elements of the generator. Furthermore, it is able to show the various possibilities that occur in the operation of a generator in reality, and it can even simulate special conditions which are based on various conditions.
Databáze: Directory of Open Access Journals
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