A critical review of methods for optimal placement of phasor measurement units

Abstract

Summary Situational awareness of the electric power system is the need of the hour. This is in the wake of recent blackouts in various parts of the world. These blackouts could have been prevented with better telemetry and real‐time monitoring of power system states. A fast and reliable measuring system with devices optimally employed across the network shall enable reliable system operation. Faster situational awareness and visualization helps the system operator to take faster preventive measures and maintain system stability. Wide Area Monitoring System uses phasor measurement units (PMUs) to measure power system states. PMUs measure synchronously real‐time voltages at various buses and current phasors, which are flowing toward these buses. But, there is a need to optimally find the locations for installation of PMUs in the network for an observable system, with minimum investment. This optimal placement of PMUs (OPP) is a binary optimization problem, combinatorial in nature. In this paper, progress achieved until now in the field of OPP studies are consolidated. A discussion on the characteristics of problem formulations and shortcomings of methods and constraints considered has been done. Challenges have been highlighted to provide a good foundation for new researchers.

Synergizing PMU Data From Multiple Locations in Indian Power Grid-Case Study

“…However, if the error in phase angle difference is less, it may not be possible to discriminate between the correct data and wrong data. A critical review of various methods carried out in [18] for the optimal placement of PMUs and their utilization. An adaptive Matrix Pencil algorithm entrenched on wavelet soft-threshold de-noising is explained in [19] to deal with the low-frequency oscillation (LFO) signals deduced from the WAMS in power systems.…”

Optimal Sensor Placement in Hydraulic Conduit Networks: A State-Space Approach

“…This approach can be expanded in several directions, for example, by using artificial bursts achieved by opening fire hydrants in various areas of the network instead of model simulated bursts [9], by considering demand uncertainty [7], by not binarizing the sensitivity matrix [10,17], by using optimization techniques instead of iterative techniques to determine the optimal sensor location [14], or in combination with a leakage localization algorithm [11]. In addition to these studies on hydraulic networks, observability and sensor placement studies on electrical networks have also been performed [18][19][20].…”

Benzetilmiş Tavlama Algoritması İle Fazör Ölçüm Birimlerinin Optimal Yerleşimi

“…Johnson vd. ise FÖB'lerin optimal yerleştirilme üzerine kapsamlı bir literatür incelemesi gerçekleştirmişlerdir [19].…”