Q. S. Chua

TL;DR: In this article, the authors considered the implementation of real-time system monitoring methods that able to provide a timely warning in the power system before the voltage collapse occurred and demonstrated that the calculated indices and the estimated indices by using ANN are practically relevant in predicting the manifestation of voltage collapse in the system.

TL;DR: In this article, the causal relation of some important criteria of project planning and development of a wind energy project in Malaysia is analyzed using a system dynamic approach, and it is found that government policies, investment of renewable energy, energy demand, geographical location and fund management are the most important criteria that need to be considered among others.

TL;DR: In this article, the wind energy assessment is based on wind prediction using the Mycielski algorithm and K-means clustering in Kudat, Malaysia, and the predicted results are analysed using Weibull analysis to obtain the most probable wind speed.

TL;DR: In this article, the authors evaluated the performance of voltage stability indices (LVSI) on IEEE 14 bus test system to predict the likelihood of voltage instability in the electric power system.

TL;DR: Real-time voltage instability predictor method is applied on one of the load areas in Tenaga Nasional Berhad (TNB) network and the stability condition of the system is based on the comparison between the margin and the pre-set threshold.