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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.

Wind energy has made more inroads in renewable power generation due to environmental impact of conventional energy sources. The high penetration of grid connected wind energy has emerged as a recent trend in many countries. On the other hand, the problem of power generation loss due to the grid fault also arisen. The recent technological advancement suggests the importance of low voltage ride through (LVRT) in wind energy conversion system (WECS). However, LVRT is a technique in making uninterrupted connectivity of WECS in the presence of grid fault. This paper presents the state of the art of LVRT capabilities of various wind turbine generators using FACTS devices and different converter controllers. Also, the main challenging issues and different approaching strategies in LVRT are addressed. Finally, extracting all important features from distinct papers, new dimension of LVRT is presented for the power quality and power generation loss problems.