Results 71 to 80 of about 1,062 (162)

High-resolution Dataset of Electric Vehicle Charging Responses Under Varied Power Quality Disturbances. [PDF]

Sci Data
Li H, Zhang Y, Yang S, Liu X.
europepmc   +1 more source

Advanced FCS-MPC strategy for optimized control and efficiency in photovoltaic inverters. [PDF]

Sci Rep
Dekhane A, Djellad A, Farhat M, Khouzam A, Logerais PO, Takruri M, Al-Qaisi A.   +6 more
europepmc   +1 more source

Power system security and protection considering the integration of new energy power plants. [PDF]

Sci Rep
Wang S, Liu D, Su W, Zhang X, Hui S.
europepmc   +1 more source

Multiscale detection of power quality disturbances and cyber intrusions in smart grids using NSCT and frequency band scalograms. [PDF]

Sci Rep
Sinha P, Paul K, Snehalika S, Kasireddy I, Krishna AB, Naga Malleswara Rao DS, Shuaibu HA, Ustun TS.   +7 more
europepmc   +1 more source

Fuzzy-logic-controlled DVR for enhancing the fault resilience of wind energy conversion systems. [PDF]

Sci Rep
Nori AM, Abdulabbas AK, Al Garni HZ, Mbasso WF, Alruwaili M, ELrashidi A.   +5 more
europepmc   +1 more source

Real-Time Transient Voltage and Frequency Sensing Strategy for Resilience Enhancement of PV-Storage Systems in Weak Grids. [PDF]

Sensors (Basel)
Ji Y, Liu Z, Gu X, Huo C, Zhang Z, Tang S, Mei J, Huang C.   +7 more
europepmc   +1 more source

Hybrid AI and semiconductor approaches for power quality improvement. [PDF]

Sci Rep
Chinthaginjala R, Srinivasulu A, Agrawal A, Kim TH, Tera SP, Ahmad S.   +5 more
europepmc   +1 more source

Deep reinforcement learning-based controller for DC-link voltage regulation and voltage sag compensation in a solar PV-integrated UPQC system. [PDF]

Sci Rep
Sravani M, Sobhan PVS.
europepmc   +1 more source

Dynamic Lissajous patterns for real time identification and localization of power quality disturbance. [PDF]

Sci Rep
Sinha P, Snehalika S, Gatla RK, Shashavali P, Kumar DG, Kasireddy I, Naga Malleswara Rao DS, Shuaibu HA, Ustun TS.   +8 more
europepmc   +1 more source

Power quality disturbance identification using hybrid deep learning in renewable energy systems. [PDF]

Sci Rep
Peruman PM, Ayyar K.
europepmc   +1 more source