Title :
WiP abstract: Possibility of power system blackout prediction
Author :
Bei Gou ; Weibiao Wu
Author_Institution :
Dept. of Electr. & Comput. Eng., North Dakota State Univ., Fargo, ND, USA
Abstract :
It is the first time that a statistical law of blackouts is derived from the modeling of blackout mechanism proposed in this letter. An approach is therefore proposed to predict the blackouts for complex systems. Prediction of blackouts for complex networks provides an important reliability index for secure and reliable operations of the networks. The density function of blackouts proposed in this letter gives the possibility of sensitivity analysis of related parameters to the occurrence of blackouts.
Keywords :
load forecasting; power supply quality; power system reliability; WiP abstract; blackout density function; complex networks; network reliable operation; network secure operation; power system blackout prediction; reliability index; sensitivity analysis; Complex networks; Educational institutions; Power system faults; Power system protection; Power system reliability; Power system stability; Probability distribution;
Conference_Titel :
Cyber-Physical Systems (ICCPS), 2013 ACM/IEEE International Conference on
Conference_Location :
Philadelphia, PA