Modeling and evaluating the customer interruption cost due to dynamic electrical power and energy failure

Sequence of failures that aggravates catastrophic events of a power system has attracted a great number of researchers’ attention in exploring and analyzing its enormous losses to the society and economy of a country. Power system cascading collapse is an event in which failure of an electrical component such as transmission line or generator leads to sequence of failures in other equipment. This catastrophic event could lead to major electrical energy failure. Therefore, it is imperative to study the effect of power system cascading collapse in assessing reliability cost/worth. This research introduces the assessments of risk and reliability cost/worth-based Customer Interruption Cost (CIC) in relation to dynamic system cascading collapse. The results obtained from the analysis performed have proven that a large cost of CIC is resulted due to dynamic electrical energy failure. This connotes that uncertain disconnection of the exposed transmission lines together with the exposed generator which occurred in the power system failure, ultimately will impose a significant impact on the customer interruption cost. On top of that, the results of customer interruption cost also have proven that the uncertainty of dynamic power electrical power and energy failure should not be neglected. Therefore, the proposed technique is reliable and confers promising results in determining risk and reliability cost/worth of the system

Critical System Cascading Collapse Assessment for Determining the Sensitive Transmission Lines and Severity of Total Loading Conditions

This paper presents a computationally accurate technique used to determine the estimated average probability of a system cascading collapse considering the effect of hidden failure on a protection system. This includes an accurate calculation of the probability of hidden failure as it will give significant effect on the results of the estimated average probability of system cascading collapse. The estimated average probability of a system cascading collapse is then used to determine the severe loading condition contributing to a higher risk of a system cascading collapse. This information is important because it will assist the utility to determine the maximum level of increase in the system loading condition before the occurrence of critical power system cascading collapse. Furthermore, the initial tripping of sensitive transmission line contributing to a critical system cascading collapse can also be determined by using the proposed method. Based on the results obtained from this study, it was found that selecting the accurate probability of hidden failure is very important as it will affect the estimated average probability of a system cascading collapse. Comparative study has been done with other techniques to verify the effectiveness of the proposed method used in the determination of sensitive transmission lines