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Summary form only given. This work presents a procedure to validate voltage sag results based on a short-term monitoring program and a stochastic assessment of voltage sag characteristics. The main practical use of this methodology is to analyze the accuracy of sag characteristics obtained from short monitoring periods. With a Monte Carlo simulation approach, probabilistic models of several factors...
Most of the research to estimate voltage sags cost was based on the end-user side. However in many cases there is not enough information to carry out the cost calculation based on the specific end-user losses. Therefore, utilities must have an alternative method to quantify costs due to voltage sags. This paper introduces the estimation of voltage sags cost based on the momentary reduction of the...
Power lines performance has traditionally been assessed in terms of their efficiency and reliability. The increase of the effect of voltage sags on sensitive loads may be located far away from the faulted line, claims for a new analysis of line performance. A new method to evaluate power lines performance is proposed and compared with the previous ones based on the power line reliability. The results...
This paper presents a procedure to validate voltage sag results based on a short-term monitoring program and stochastic assessment of voltage sag characteristics. The main practical use of this methodology is to analyze the accuracy of sag characteristics obtained from short monitoring periods. With a Monte Carlo Simulation approach, probabilistic models of several factors are taken into account:...
This work introduces a new analysis of voltage sags based on the load variation and the non supplied energy. The power flow variation measured at the transmission level is proposed as an index to evaluate the severity of voltage sags. The correlation between the loss of load and the sag source characteristics, such as type of fault, cause of the fault and location of the fault, can be used for the...
This work presents a procedure to validate sags monitoring results based on a stochastic assessment of voltage sag indices. The main practical use of this methodology is to analyze the accuracy of sag indices obtained from very short monitoring periods. Probabilistic models of several factors can be taken into account: lines and busbars fault rate, pre-fault voltage, fault type distribution, fault...
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