Optimal PMU placement for pessimistic dynamic vulnerability assessment

Review of Different Methods for Optimal Placement of Phasor Measurement Unit on the Power System Network

“…Another major element of tabu search is the state definition and the encompassing area. The tabu search resets when it does not converge [17].…”

Artificial neural network and phasor data‐based islanding detection in smart grid

“…In [34], mixed‐integer linear programming (MILP) has been used to solve optimal PMU placement considering load loss. Dynamic vulnerability assessment has been considered in [35] to identify PMU locations in IEEE 9‐, 39‐, and 145‐bus systems. PMU placement has been formulated as a multi‐objective minimal partitioning problem in [36].…”

Locating minimum number of PMUs for pre‐ and post‐disturbance monitoring of power systems

“…In [23], the optimal number and location of PMUs are determined in a way the error in extended Kalman filter-based tracking of system dynamics remains low. In [24], after finding clusters based on post-disturbance rmscoherency criterion, the dynamic vulnerability assessment is performed to find the representative bus in each cluster. Then a PMU is assigned to this bus.…”

“…To do that, initially generators are clustered and then PMU buses are determined in a way that they represent the centre of inertia motion. However, the authors in [24,25] have not considered the full observability of power systems. In [26] a methodology is proposed to rank PMU locations based on small signal stability using three different ranking criteria.…”

“…In this method, first ILP is used to locate PMUs for achieving full observability and then these PMU buses are ranked for small signal stability (SSS) analysis. In [27], unlike [24] the first vulnerability assessment is performed to the rank generator and load buses and then binary ILP is used to determine the PMU buses for full observability in a multi-stage approach. Another multi-stage approach is presented in [28] where ILP is used to locate PMUs for maximising the system observability.…”