Online fuzzy voltage collapse risk quantification

Artificial intelligence based thermographic approach for high voltage substations risk assessment

“…Collecting a suitable database is essential in reliability studies. The reliability database should have a mean of continuous updating and should be flexible enough to output reports in a variety of adequate formats [17]. Database thermography examination of ETPS of Serbia and a market operator is borrowed and used to form failure rate ( λ ) like fuzzy number, FN.…”

Computing with Words in Risk Assessment

“…Gürcanli and Müngen 164 provided an occupational safety risk analysis method at construction sites using fuzzy sets; Markowski and Mannan 76 investigated fuzzy logic for piping risk assessment (pfLOPA); Imriyas 165 established an expert system for strategic control of accidents and insurers' risks in building construction projects; Hwang et al 166 presented a real-time warning model for teamwork performance and system safety in nuclear power plants; Berizzi et al 167 investigated online fuzzy voltage collapse risk quantification; Lee 168 presented a fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks.…”

Voltage prediction using a Cellular Network

“…There are numerous practical applications for this type of tool but the scope this paper is to show that CSRN have potential for predicting Voltage Stability Indices (VSI). Voltage stability indices can be used to predict the system critical operating point with respect to the point of dynamic voltage collapse [17]. Using the CSRN method to determine a voltage stability indicator would allow system operators to quickly determine the security of the current or future operating point for any size of power system and take the correct preventative action without fear of disturbing vital power system processes and components.…”