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Optimal Placement of Power Quality Monitors


Affiliations
1 Department of Electrical and Electronics Engineering, IIET, Bareilly (UP), India
2 Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India
3 Department of Electrical Engineering, KNIT, Sultanpur (UP), India
     

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Power quality is becoming a major concern due to increase penetration of power electronics devices and smart grid initiatives. This paper presents an effective methodology to optimally place the Power Quality Monitors (PQMs) to get complete information of the network even under the some outages which makes the system completely observable. Binary Particle Swarm Optimization (BPSO) technique has been used to minimize the numbers of PQM required to make system completely observable and to maximize the measurement redundancy. An index based two-step method has been proposed. Simulation result of the proposed method on IEEE-14 bus system, IEEE-24 bus system IEEE-30 bus system, 13 bus feeder system, 34 bus feeder system, 37 bus feeder system are presented to demonstrate the suitability of the proposed method.

Keywords

Power Quality Monitors, Binary Particle Swarm Optimization, Observability, Optimal Placement.
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  • Optimal Placement of Power Quality Monitors

Abstract Views: 178  |  PDF Views: 0

Authors

D. Saxena
Department of Electrical and Electronics Engineering, IIET, Bareilly (UP), India
Sayak Bhaumik
Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India
S. N. Singh
Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India
K. S. Verma
Department of Electrical Engineering, KNIT, Sultanpur (UP), India

Abstract


Power quality is becoming a major concern due to increase penetration of power electronics devices and smart grid initiatives. This paper presents an effective methodology to optimally place the Power Quality Monitors (PQMs) to get complete information of the network even under the some outages which makes the system completely observable. Binary Particle Swarm Optimization (BPSO) technique has been used to minimize the numbers of PQM required to make system completely observable and to maximize the measurement redundancy. An index based two-step method has been proposed. Simulation result of the proposed method on IEEE-14 bus system, IEEE-24 bus system IEEE-30 bus system, 13 bus feeder system, 34 bus feeder system, 37 bus feeder system are presented to demonstrate the suitability of the proposed method.

Keywords


Power Quality Monitors, Binary Particle Swarm Optimization, Observability, Optimal Placement.



DOI: https://doi.org/10.33686/prj.v7i2.189821