Accurate voltage sag-source location technique for power systems using GACp and multivariable regression methods

Optimized allocation of power quality monitors in transmission systems: A multiobjective approach

“…In the future, as more resources become available, the company will be able to improve its monitoring system, until it can install the minimum number of monitors which can monitor all state variables. In case the utility has enough resources for cost solution 3, where it can install equipment in three busbars, the best arrangement is the allocation on busbars: [2,6,9]. When it is possible to allocate a new monitor, cost solution 4 presented in the graph indicates the addition of busbar [7] to the monitored set of busbars, bringing the DRF to 2.41.…”

“…Cost solution 8, in which 8 busbars had monitors installed, defined in the set [1][2][3][4][5][6][7]9], provides a DRF of 8.38. From this solution, another region is delimited in Fig.…”

“…However, they differ in the constraints considered to fulfill different criteria. For examples, in [4][5][6][7][8][9][10][11], the constraints are obtained by using analytical expressions and simulating faults in the EPS. These procedures were adopted to ensure full coverage of voltage sags.…”

Comparison of methods using only voltage measurements for detecting the origin of voltage sags in the modern distribution networks

“…The MM-based methods use several points of measurements in different busses [12], [13]. Then, the acquired data are processed to identify the exact origin of the voltage sag rather than establishing the part of the system where the voltage sag originated.…”

Voltage sag source location technology based on corresponding sequence components

“…Li et al [11] relies on the relationships between the product of voltage magnitude and the power factor against current magnitude at the measure points to determine the fault locations, while the feasibility of this method for non-linear load remains to be discussed. Furthermore, Kazemi et al [12] identified the VSS location by the maximum voltage deviation and the minimum standard deviation during voltage sag which are calculated from the multivariable regression model.…”