Computing the Load Margin of Power Systems Using Golden Jackal Optimization DOI Open Access
Murilo E. C. Bento

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 644 - 649

Published: Jan. 1, 2024

The Load Margin (LM) is an important stability index applied in power systems. calculation of LM has always been associated with voltage studies, but the increase load can also cause emergence poorly damped oscillation modes studied at small signals that destabilize system. This article proposes optimization model to determine considering jointly and signal thresholds. bio-inspired algorithm called Golden Jackal Optimization solve model. IEEE 39-bus test system used for case studies discussions.

Language: Английский

Elevator fault diagnosis based on digital twin and PINNs-e-RGCN DOI Creative Commons
Qibing Wang,

Laien Chen,

Gang Xiao

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 28, 2024

The rapid development of urbanization has led to a continuous rise in number elevators. This elevator failures from time time. At present, although there are some studies on fault diagnosis, they more or less limited by the lack data make research superficial. For such complex special equipment as elevator, it is difficult obtain reliable and sufficient train diagnosis model. To address this issue, paper first establishes numerical model vertical vibration for elevators with three degrees freedom. obtained motion equations then used constraints acquire simulated through PINNs. Next, proposed e-RGCN employed diagnosis. Finally, experimental validation shows that accuracy participation digital twins exceeds 90%, reaches 96.61%, significantly higher than other comparative models.

Language: Английский

Citations

10
Internet of Things Application in an Automated Irrigation Prototype Powered by Photovoltaic Energy DOI Creative Commons
Rafael C. Borges, Carlos Henrique Beuter,

Vitória C. Dourado

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(9), P. 2219 - 2219

Published: May 5, 2024

Small-scale agriculture is important. However, there are still limitations regarding the implementation of technologies in small-scale due to high costs accompanying them. Therefore, it essential seek viable and low-cost solutions since insertion agriculture, especially irrigated guarantees sustainable expansion production capacity. The present work applied Internet Things concept an automated irrigation system powered by photovoltaic panels. materials used prototype consisted Arduino Uno R3, ESP8266 development board, a soil moisture sensor, current voltage flow humidity temperature sensor. was designed take readings send them Adafruit platform IO. Furthermore, programmed perform remote control, enabling this be activated from distant points through platform. medium proved efficient for monitoring control system. This indicates that possible use small systems.

Language: Английский

Citations

4
A Multistage Algorithm for Estimating Electromechanical Modes of Power Systems DOI Open Access
Murilo E. C. Bento

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 662 - 667

Published: Jan. 1, 2024

Low-frequency oscillation modes of electromechanical origin, when they have low damping rates, can affect the stability power systems. The Identification these is essential to preserve continuous and safe operation This paper proposes a multistage algorithm determine signals collected by Phasor Measurement Units (PMUs) in proposed composed four processes at each stage an mode estimated evaluated. Case studies real PMU signal were conducted discussed.

Language: Английский

Citations

1
Load Margin Assessment of Power Systems using Recurrent Neural Network and Greylag Goose Optimization DOI Open Access
Murilo E. C. Bento

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 656 - 661

Published: Jan. 1, 2024

The complexity of operating power systems requires the development methods capable assisting in system monitoring. Voltage Stability Margin or Load (LM) represents an index that informs how much system's load level can increase without causing a case instability. LM is determined using voltage stability criteria, but low-frequency modes arise with increasing and cause This article proposes method based on Recurrent Neural Networks (RNNs) for monitoring LM. Furthermore, metaheuristic called Greylag Goose Optimization applied to choose buses whose measurements will be RNN inputs.

Language: Английский

Citations

1
Design of a resilient wide-area damping controller using time delays DOI
Murilo E. C. Bento

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: July 5, 2024

Language: Английский

Citations

0
PMU-Based Power System Stabilizer Design Using Coati Optimization Algorithm DOI Open Access
Murilo E. C. Bento

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 650 - 655

Published: Jan. 1, 2024

Language: Английский

Citations

0
Computing the Load Margin of Power Systems Using Golden Jackal Optimization DOI Open Access
Murilo E. C. Bento

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 644 - 649

Published: Jan. 1, 2024

The Load Margin (LM) is an important stability index applied in power systems. calculation of LM has always been associated with voltage studies, but the increase load can also cause emergence poorly damped oscillation modes studied at small signals that destabilize system. This article proposes optimization model to determine considering jointly and signal thresholds. bio-inspired algorithm called Golden Jackal Optimization solve model. IEEE 39-bus test system used for case studies discussions.

Language: Английский

Citations

0