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Optimized power quality monitor placement based on a Particle Swarm Optimization algorithm

The growing interest in the electricity industry regarding power quality has generated a high demand of network data to define the network status and points out any unwanted changes in the voltage or current waveforms of electric systems. In this context, this work proposes an economical measurement system of voltage sags by employing a method based on the Particle Swarm Optimization algorithm to achieve an optimized power quality monitor placement. The results show the effectiveness of the method, indicating the minimum number of power quality monitors required for ensuring full system observability and the best locations to install these devices.