IUP Publications Online
Home About IUP Magazines Journals Books Archives
     
Recommend    |    Subscriber Services    |    Feedback    |     Subscribe Online
 
The IUP Journal of Electrical and Electronics Engineering:
Statistical Evaluation of Restriking Voltage Characteristics Using Monte Carlo Simulation
:
:
:
:
:
:
:
:
:
 
 
 
 
 
 
 

The paper presents a statistical methodology for evaluating the severity of Restriking Voltage (RV) and Rate of Rise of Restriking Voltage (RRRV). The methodology is based on Monte Carlo Simulation (MCS). The peak value of RV and RRRV depends on various uncertain variables, e.g., power factor, current asymmetry, armature reaction and circuit conditions. The uncertainty for these conditions of severity has been accounted for along with uncertainties in inductance and capacitance. Results have been obtained taking a sample case study.

 
 

A suitable protective system is of highest importance for an interconnected system. It is the duty of circuit breaker to remove a faulty section as quickly as possible from the system and if desired it should be able to insert the removed section in the circuit. While breaking the circuit, an arc appears across the circuit breaker contacts. Field emission and subsequent thermal ionization are the causes for initiation and maintenance of the arc. It is further observed that natural current zero is a favorable point for arc extinction. At natural current zero, there is a transient phenomenon which gives rise to high frequency transient voltage whose peak value may be at the most double the peak value of phase voltage. At natural current zero for final arc extinction, the voltage buildup across the circuit breaker contacts is important. The restriking voltage is defined as transient voltage which appears across the circuit breaker contacts at the instant of arc being extinguished (Ravindranath and Chander, 1977; and Ram and Vishwakarma, 1995). There are various factors which affect the severity of restriking voltage. These factors include power factor, circuit conditions, current asymmetry and armature reaction.

At the time of circuit breaker contact separation, the effect of these factors involves uncertainty owing to the random nature of these parameters. Further, the Rate of Rise of Restriking Voltage (RRRV) depends on circuit inductance and capacitance. Uncertainty is also there in the values of inductance and capacitance. In view of this, maximum RRRV is also a random variable. Hence, in this paper, a methodology has been presented for statistical evaluation of peak value of Restriking Voltage (RV) and RRRV using Monte Carlo Simulation (MCS).

 
 
 

Electrical and Electronics Engineering Journal, Restriking Voltage (RV), Rate of Rise of Restriking Voltage (RRRV), Monte
Carlo Simulation (MCS), Armature reaction, Circuit conditions.