Title :
Comparison between power quality monitoring results and predicted stochastic assessment voltage sags-“real” reliability for the customer
Author_Institution :
Idaho Power Co., Boise, ID, USA
Abstract :
By utilizing probabilistic methods to predict and characterize events on the power system in terms of frequency, engineering methods and calculations can then be applied to assess the impact of these predicted events. This leads to a complete appraisal of how often various types of consequences will affect an individual customer´s load point. Matching this predictive system performance with the expectations of the customer and the requirements of the customer´s equipment yields not only where deficiencies exist, but also how to apply proper and cost-effective solutions for each load point
Keywords :
power supply quality; power system faults; power system measurement; power system reliability; probability; stochastic processes; customer load points; engineering methods; frequency variations; power quality monitoring; power system reliability; predicted stochastic assessment voltage sags; probabilistic methods; Frequency; Monitoring; Power engineering and energy; Power quality; Power system measurements; Power system reliability; Reliability engineering; Stochastic processes; Stochastic systems; Voltage fluctuations;
Journal_Title :
Industry Applications, IEEE Transactions on