A Stage-wise Optimal PMU Allocation using BCSA for Improving the Sensitive Bus Observability

Despite of substantial development in measurement technology of phasor measurement units (PMUs), the utilization of PMU is still barely appreciated by the power industries due to its high installation cost. It motivated the researchers to find an optimal set of locations to obtain full observability...

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Veröffentlicht in:Procedia computer science Jg. 143; S. 702 - 711
Hauptverfasser: Maji, Tapas Kumar, Acharjee, Parimal
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 2018
Schlagworte:
Multiple outcomes (MOCs)
observability
optimal PMU allocation (OPA)
phasor measurement unit (PMU)
redundant observability
redundant observability
Multiple outcomes (MOCs)
optimal PMU allocation (OPA)
observability
phasor measurement unit (PMU)
ISSN:1877-0509, 1877-0509
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Zusammenfassung:Despite of substantial development in measurement technology of phasor measurement units (PMUs), the utilization of PMU is still barely appreciated by the power industries due to its high installation cost. It motivated the researchers to find an optimal set of locations to obtain full observability of a network with least number of PMUs. A stage-wise optimal PMU allocation (SWOPA) approach is proposed in this paper using binary crow search algorithm (BCSA) based on the measurement reliability assessment of some sensitive buses. The effectiveness of the multiple outcomes (MOCs) obtained while solving the OPA problem is analyzed and a sensitive bus observability (SBO) assessment, associated with generator, weaker, and transformer-connected buses is mathematically modeled in this regards to determine the best outcome from those MOCs. The observability criteria of such sensitive buses are also incorporated in order to provide ranking in PMU bus nomination at each stage. The proposed method is demonstrated on IEEE 57-bus test system and its performance is verified with other methods.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2018.10.445