Multi-Objective Optimization Driven Application of Micro Phasor Measurement Units for Efficient Monitoring of Power Distribution System

Monitoring power distribution systems (DSs) may be challenging for utilities because of their dynamic and complex characteristics. Micro-phasor measuring unit (µPMU) sensors are used to observe DSs in real time for their precision and accuracy. Due to the placement expenses, its installations are limited, and utilities are forced for their strategic allocation. This work proposes a new approach of placing μPMUs in DS to reduce the root-mean-square error (RMSE) of the voltage phasors for buses other than µPMU-assigned ones, which are estimated in real time. The multi-objective particle swarm optimization approach is used to develop realistic solutions by balancing the objective of minimizing the RMSE and total number of installed µPMUs. The proposed technique has been established on a balanced IEEE 33-bus radial distribution system. The suggested solution strategy's efficacy shows its ingenuity and superiority of 12.02% improvement on RMSE over existing placement methods.