The challenges of low voltage distribution system state estimation—an application oriented review
Global trends such as the growing share of renewable energy sources in the generation mix,
electrification, e-mobility, and the increasing number of prosumers reshape the electricity …
electrification, e-mobility, and the increasing number of prosumers reshape the electricity …
Thyristor controlled series compensator for the solution of reactive power management problem
Over the years the optimization in various areas of power system has immensely attracted
the attention of power engineers and researchers. Reactive power management (RPM) …
the attention of power engineers and researchers. Reactive power management (RPM) …
Solution for reactive power planning problem using salp swarm algorithm
In this article, a Salp Swarm Algorithm (SSA) technique has been proposed for the optimal
coordination of interconnected power network grids (RPP). It has successfully implemented …
coordination of interconnected power network grids (RPP). It has successfully implemented …
Assessment of evolutionary optimization techniques applications in modern power systems
This paper presents the latest work in the field of optimization of modern power system
systems networks. Optimization is an efficient tool and an easy way to solve the complex …
systems networks. Optimization is an efficient tool and an easy way to solve the complex …
Analysis of voltage sag in DFIG based wind power system
The focus of this work is to analyse the effect of the voltage sag in wind turbine system with a
double-fed induction generator. Voltage slope is a short decrease in voltage rms, generally …
double-fed induction generator. Voltage slope is a short decrease in voltage rms, generally …
Deep learning aided interval state prediction for improving cyber security in energy internet
With the development of advanced information and communication technologies, the electric
power grid has been moving forward into an energy internet for improving operational …
power grid has been moving forward into an energy internet for improving operational …
Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods
Power system state estimation is being faced with different types of anomalies. These might
include bad data caused by gross measurement errors or communication system failures …
include bad data caused by gross measurement errors or communication system failures …
Power system anomaly detection and classification utilizing WLS-EKF state estimation and machine learning
Power system state estimation is being faced with different types of anomalies. These might
include bad data caused by gross measurement errors or communication system failures …
include bad data caused by gross measurement errors or communication system failures …
Optimization of neural network parameters by Stochastic Fractal Search for dynamic state estimation under communication failure
H Mosbah, ME El-Hawary - Electric Power Systems Research, 2017 - Elsevier
A powerful metaheuristic technique is proposed that uses a mathematical concept called
Stochastic Fractal Search (SFS) to ensure fast convergence along with accuracy. This paper …
Stochastic Fractal Search (SFS) to ensure fast convergence along with accuracy. This paper …
Unscented Kalman Filter based interval state estimation of cyber physical energy system for detection of dynamic attack
Abstract Information and communication technologies (ICTs) introduce many Internet-based
entry points that pose potential risks to cyber physical energy system (CPES). Therefore, it is …
entry points that pose potential risks to cyber physical energy system (CPES). Therefore, it is …