Critical clearing time determination of EGAT system using artificial neural networks

Optimal coordination of dual‐setting directional over‐current relays in multi‐source meshed active distribution networks considering transient stability

“…where H is the inertia time constant. Different transient stability assessment frameworks for multi-machine systems are presented in several kinds of literature [38,39]. In this study, time domain simulation as a reliable method is conducted to calculate CCTs.…”

Power-saving algorithms in electricity usage - comparison between the power saving algorithms and machine learning techniques

“…Recent research indicated that the critical clearing time of the power systems transient stability analysis(TSA) can be estimated by both networks, which suggested that the similar analysis of the power consumption over the period of time be also simulated. [4][5][6] [7]. Being a demand and supply forecasting model, ANN was often considered as a reliable model to estimate the future pattern of the energy demand.…”

Transient stability evaluation of electrical power system using generalized regression neural networks

“…Online transient stability assessment of a power system is not yet feasible due to the intensive computation involved. Artificial neural networks (ANN) has been proposed as one of the approaches to this problem because of its ability to quickly map nonlinear relationships between the input data and the output [8,9]. Some works have been carried out using the feed forward multilayer perceptron (MLP) with back propagation learning algorithm to determine the CCT of power systems [10,11].…”