Solar, wind and their hybridization integration for multi-machine power system oscillation controllers optimization: a review
Massive growth in global electrical energy demand has necessitated a genuine exploration
and integration of solar and wind energy into the electrical power mix. This incorporation …
and integration of solar and wind energy into the electrical power mix. This incorporation …
[HTML][HTML] Stability improvement of the PSS-connected power system network with ensemble machine learning tool
Stability is a primary requirement of the electrical power system for its flawless, secure, and
economical operation. Low-frequency oscillations (LFOs), commonly seen in interconnected …
economical operation. Low-frequency oscillations (LFOs), commonly seen in interconnected …
Improvement of low-frequency oscillation damping in power systems using a deep learning technique
Over the last few years, machine learning tools have significantly progressed and attracted
extensive applications in many parts of contemporary life. The power sector is one of the …
extensive applications in many parts of contemporary life. The power sector is one of the …
Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations
Generally, power systems experience a variety of disturbances that can result in low
frequency electromechanical oscillations. These low frequency oscillations (LFOs) take …
frequency electromechanical oscillations. These low frequency oscillations (LFOs) take …
A Survey of the AVOA Metaheuristic Algorithm and its Suitability for Power System Optimization and Damping Controller Design
The performance of metaheuristic optimization techniques is system-dependent, it is
essential to ascertain the suitability of an algorithm before its application. This study surveys …
essential to ascertain the suitability of an algorithm before its application. This study surveys …
Oscillation damping neuro-based controllers augmented solar energy penetration management of power system stability
The appropriate design of the power oscillation damping controllers guarantees that
distributed energy resources and sustainable smart grids deliver excellent service subjected …
distributed energy resources and sustainable smart grids deliver excellent service subjected …
Real-time solution of PSS parameter tuning by GA-ANFIS in stabilizing the electrical power system
The power system industry is one of the pioneers in implementing machine learning (ML)
methods which have acquired a lot of attention across various facets of contemporary life …
methods which have acquired a lot of attention across various facets of contemporary life …
Comparative analysis of machine learning approaches in enhancing power system stability
The low‐frequency oscillations (LFOs) are usually considered as the slow‐poisoning issues
for electric power networks as they can cause system blackout if not resolved in time …
for electric power networks as they can cause system blackout if not resolved in time …
The FCM-guided deep learning model for low-frequency oscillation damping for electric power networks
M Shafiullah - Neural Computing and Applications, 2024 - Springer
Abstract Machine learning (ML) techniques have gained substantial attention in many
aspects of contemporary life during the last several years. As part of the digital revolution …
aspects of contemporary life during the last several years. As part of the digital revolution …
Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification
Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of
transportation. They function by converting electrical energy into mechanical energy using …
transportation. They function by converting electrical energy into mechanical energy using …