Probabilistic Assessment of Financial Losses in Distribution Network Due to Fault-Induced Process Interruptions Considering Process Immunity Time

Abstract

Nelson Kagan (SM'12) received the Dipl. Ing. and M.Sc. degrees in electrical engineering from the Polytechnic School, University of São Paulo, São Paulo, Brazil, in 1982 and the Ph.D. degree in electrical engineering from the University of London, London, U.K., in 1993.Currently, he is a Full Professor at Polytechnic School, University of São Paulo, since 1983. His research interests are utility planning systems, with artificial-intelligence applications, optimization, and multiple goals (applied to power quality and operation planning, among others) and uncertainty (probabilistic and possibilistic models) associated with these topics.

A probabilistic approach for assessment of financial loss due to equipment outage caused by voltage sag using cost matrix

“…System performance, cost estimation, and cost associated with the mitigating device due to poor power quality are considered in, where a factor called weighting factor is used for the evaluation of financial loss due to momentary interruption or voltage sag. Assessment of voltage sag, probability of load connected to the system and equipment failure due to voltage sag are considered for the evaluation of financial losses associated with the voltage sag . The market value of goods, cost of materials, cost of energy required for the production and additional costs are considered for the evaluation of damage cost due to the tripping of equipment resulted from voltage sag…”

“…Assessment of voltage sag, probability of load connected to the system and equipment failure due to voltage sag are considered for the evaluation of financial losses associated with the voltage sag. 11 The market value of goods, cost of materials, cost of energy required for the production and additional costs are considered for the evaluation of damage cost due to the tripping of equipment resulted from voltage sag. 12 In 13,14 voltage sag assessment and evaluation of financial losses due to malfunction of equipment are calculated by considering process trip occurred at the customer side, types of sensitive equipment and historical data of damage cost for different types of loads.…”

Bayesian Network-Based Process Downtime Cost Determination of an Industrial Plant

“…Previous studies [3], [6], [7] describes the severity and effect of voltage sag in a process in terms of its output process parameters and this is since each equipment is classified as sensitive in terms of its nature and built and the criterion it produced is critical to the output of the said plant.…”

“…This leaves the question what is the relationship in terms of its response of each equipment in the process. On the other hand, authors also determined the cost of downtime in one particular process that is correlated in its downtime to determine the efficiency of the said plant due to an interruption due to voltage sag [10], [3]. The need also to determine the downtime cost for a given response of an equipment for an event of voltage sag aside from its season is critical in order to assess the effect of this disturbances to the economic output of the plant in terms of its outcome to the equipment involved.…”

Single-Event Characteristics for Voltage Dips in Three-Phase Systems

“…It is an issue that attracts attention from utilities and their customers [1][2][3][4][5]. Characterization of voltage dips is an essential part of voltage dip studies.…”