For reducing redundancy of voltage sag monitoring information

in this paper

a kind of optimal allocation method for voltage sag monitoring point is proposed by the use of multivariable regression（MVR）and genetic algorithm（GA）. Firstly

the appropriate fitness function is structured by MVR and the optimal allocation vector of the monitoring point is obtained through the optimization ability of GA;Secondly

the monitoring device is arranged at the corresponding node in accordance with optimal allocation vector with combination of observability which is checked by matrix check in the observable area

the redundant monitoring point is cancelled further so to obtain allocation vector. Finally

the simulation and comparison test in the IEEE300 node test system is performed by the use of PSCAD V4.2. It is shown by the simulation result that the method proposed in this paper does not need threshold voltage but only two monitoring points to monitor the voltage sag caused by all types of faults of the system and effectiveness of the method is proved.