A Fuzzy Decision-Based Multiobjective Planning for Microphasor Measurement Unit Placement in Power Distribution Infrastructure

The monitoring of three-phase unbalanced power delivery networks (PDNs) has grown to be a challenging task for utilities because of its complex and dynamic characteristics. Microphasor measurement units (µPMUs) are adopted to observe the PDN due to their exceptional precision and accuracy. However, associated placement costs limit its numerous installations. This article presents a novel strategy for co-optimized placement of µPMUs in PDN that deals with the placement cost and the root mean square error of estimated voltage phasors of buses other than the µPMU-assigned buses. The voltage phasor estimation further reveals a heuristic distribution system state estimation. Additionally, the multiobjective particle swarm optimization technique is espoused to generate realistic solutions by the tradeoff between the above-mentioned objectives and validated on the Indian 19-bus unbalanced radial distribution system, IEEE 123-bus, and IEEE 8500 node feeders. The proposed solution strategy's effectiveness exhibits its ingenuity and superiority over other available placement techniques.