Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Johnny Rengifo"'
Autor:
Luis A. Pesantes, Ruben Hidalgo-Leon, Johnny Rengifo, Miguel Torres, Jorge Aragundi, Jose Cordova-Garcia, Luis F. Ugarte
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 12, Iss 2, Pp 488-499 (2024)
In rural territories, the communities use energy sources based on fossil fuels to supply themselves with electricity, which may address two main problems: greenhouse gas emissions and high fuel prices. Hence, there is an opportunity to include renewa
Externí odkaz:
https://doaj.org/article/a7969cd320d644deaed5b181b2f4f415
Publikováno v:
Energies, Vol 17, Iss 10, p 2241 (2024)
Electric motors play a fundamental role in various industries, and their relevance is strengthened in the context of the energy transition. Having efficient tools and techniques to detect and diagnose faults in electrical machines is crucial, as is p
Externí odkaz:
https://doaj.org/article/be0b90b66e914c01aeb7c37ad582afd4
Autor:
Manuel S. Alvarez-Alvarado, Johnny Rengifo, Rommel M. Gallegos-Núñez, José G. Rivera-Mora, Holguer H. Noriega, Washington Velasquez, Daniel L. Donaldson, Carlos D. Rodríguez-Gallegos
Publikováno v:
Energies, Vol 15, Iss 22, p 8565 (2022)
As the installation of solar-photovoltaic and wind-generation systems continue to grow, the location must be strategically selected to maintain a reliable grid. However, such strategies are commonly subject to system adequacy constraints, while syste
Externí odkaz:
https://doaj.org/article/082945f90dfa49d8b5387566e26a0c36
Publikováno v:
2022 IEEE International Conference on Industrial Technology (ICIT).
Publikováno v:
2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America).
The non-technical losses are an important problem for the electric networks in the Region. However, its detection is possible using data mining. This work presents the implementation of clustering algorithms to detect non-technical losses using deman
Autor:
Johnny Rengifo, Jose M. Aller
Publikováno v:
2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD).
This paper presents an efficiency estimation method for inverter-fed induction motors using a rotor currents observer. A recursive linear combination of stator currents and previous rotor currents' values are used to calculate the currents. The deep-
Publikováno v:
ICIT
This paper presents a parameter estimation method for a permanent magnet synchronous machine (PMSM) based on the instantaneous input impedance, which is defined as a function of the instantaneous voltage and current space vectors fixed to the rotor r
Publikováno v:
2019 IEEE Fourth Ecuador Technical Chapters Meeting (ETCM).
The paper presents the implementation of a nonlinear Automatic Voltage Regulator (AVR) for a synchronous generator supplying a passive load. The AVR is designed using the feedback exact linearization of the synchronous machine dynamic equations fixed
Fuzzy Predictive DTC of Induction Machines With Reduced Torque Ripple and High-Performance Operation
Publikováno v:
IEEE Transactions on Power Electronics. 33:2580-2587
This paper proposes an enhanced strategy for direct torque control (DTC) combining artificial intelligent (AI) and predictive algorithms. The advantages of this merge are in the solution of closed-loop controlled induction machine (IM) problems. Pred
Publikováno v:
2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM).
This paper presents the study of the effect of increasing the penetration of Doubly Fed Induction Generators (DFIG) in the transient stability performance of a power system using a detailed model of the DFIG including the back to back converter that