Vol. 4 No. 5 (2018) · Articles

Optimal PMU Placement for Power System Observability Using Binary Particle Swarm Optimization Algorithm

Suresh Babu Palepu
Assistant professor, Department of EEE, AITS Rajampet, IN

M. Padma Lalitha
Assistant professor, Department of EEE, AITS Rajampet, IN

Adapala Kalyan Kumar
Assistant professor, Department of EEE, AITS Rajampet, IN

Keywords: binary particle swarm algorithm(bpso),complete observability,optimal placement, phasor measurement unit.

Abstract

the phasor measurement unit (PMU) is considered to be one of the most important measuring devices in the present power systems. The distinction comes from its unique ability to provide synchronized phasor measurements of voltages and currents from widely dispersed locations in an electric power grid for applications such as state estimation and fault detection. Simulations and field experiences suggest that PMUs can revolutionize the way power systems are monitored and controlled. However, it is perceived that costs will affect the number of PMUs to be installed in any power system. In this paper, the PMU placement is realized based on a modified binary particle swarm algorithm. The proposed algorithms will ensure optimum PMU placement with full network observability under various contingency conditions. In order to validate its effectiveness, the results obtained by the proposed method are compared with other published techniques to demonstrate the accuracy and validity of the proposed technique. The results of the IEEE 14, 30 bus system show that the proposed method effectively managed to reduce the number of PMUs needed.

References

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