Prime Location Deployment Strategy for Phasor Measurement Units Adopting Intelligence Technique.
DOI:
https://doi.org/10.22399/ijcesen.1405Keywords:
Phasor Measurement Unit, Performance Index, Particle Swarm OptimizationAbstract
Optimized handling of existing assets in electrical systems are mandatory with rapidly developing complex smart networks. Power systems superior operation targeted through successful deployment of PMU by streaming live data quickly and securely enforcing crucial preventive measurement. In spite supremacy of PMU over traditional measurement regarding various aspects, it is nonviable to place PMU over entire system at each bus because of relatively expensive cost of PMU. Therefore, PMUs are imperative to be placed optimally over system in prime location. An intelligent PSO technique tested on IEEE Five Bus and Fourteen Bus System. The adopted technique achieves minimal number of PMUs and prime location deployment of PMUs for IEEE Five Bus and Fourteen Bus System.
References
[1] K Khalid, A. I. (2021, February). An Optimal Placement of Phasor Measurement Unit using New Sensitivity Indices. Bulletin of Electrical Engineering and Informatics, 10(1), 31-38. doi: https://doi.org/10.11591/eei.v10i1.2499
[2] Srikumar M S, D. T. (2015, August). Line Outage Detection using PhasorMeasurement Units. Science Direct, 88-95. doi:https://doi.org/10.1016/j.protcy.2015.10.014
[3] Tansel Dokeroglu, E. S.(2019, September), A Survey on New Generation Metaheuristic Algorithms. Computers and Industrial Engineering,1-29. doi:https://doi.org/10.1016/j.cie.2019.106040
[4] M Papadimitrakis, N. G. (2021, April). Metaheuristic Search in Smart Grid : A Review with Emphasis on Planning, Scheduling And Power Flow Optimization applications Renewable and Sustainable Energy Reviews, 1-17. doi:https://doi.org/10.1016/j.rser.2021.111072
[5] Teena Johnson, T. M. (2020, October). A Critical Review of Methods for Optimal Placement of Phasor Measurement Units. International Transations on Electrical Energy Systems, 1-25. doi:https://doi.org/10.1002/20507038.12698
[6] Ahmed M. Nassef, M. A. (2023, June). Review of Metaheuristic Optimization Algorithms for Power Systems Problems. Sustainability,1-27. doi:https://doi.org/10.3390/su15129434
[7] Alam, M. (2020, December). Evaluation of N-1 Contingency Ranking for Security Analysis in Modern Power Systems. Ethics and Information Technology, 2(2), 154- 157.
[8] Manjula B G, D. R. (2024, January). Estimation of Potential Outage Risk Evaluation of System using Performance Indices. Intelligent Systems and Applications in Engineering, 12(13), 41-49.
[9] Riccardo Andreoni, D. M. (2021, April). Tri – Objective Optimal PMU Placement Including Accurate State Estimation : The Case of Distribution Systems. IEEE Access,9,62102–62117. doi:10.1109/ACCESS.2021.3074579
[10] Hamed Haggi, W. S. (2020). Multi Objective PMU Allocation for Resilient Power System Monitoring.IEEEXplore,1-5 doi:10.1109/PESGM41954.2020.9281963
[11] Edwin Otieno Okendo, C. W. (2021, July). Optimal Placement of Measurement Unit considering System Observability Redundancy Index: Case Study of Kenya Power Transmission Network. Heliyon,1-12.
[12] Maveeya Baba, N. B. (2021, September). Optimization of Phasor Measurement Unit Placement using Several Proposed Case Factors for Power Network Monitoring. Energies. doi: https://doi.org/10.3390/en14185596
[13] V. Yuvaraj, S. T. (2022,November). Optimal Phasor Measurement Unit Placement for Power System Observabilty using Teaching –Learning Based Optimization. International Journal of Electrical Power and Energy Systems, 1-10.
[14] Abdelfattah A Eladi. (2022, January).Optimal Allocation of Phasor Measurement Units in Distribution Power Systems. Alexandria Alexandria Engineering Journal, 8039-8049.
[15] Lucas Luiz Lunarti, M. M. (n.d.). Optmal Allocation of PMU and PDC in Electrical Power Systems. IEEE PES Transmission and Distribution conference and Exhibition, 1-6.
[16] Subbaiyan, T. (2021). PSO Based Optimal Phasor Measurement Unit Placement considering Measurement Redundancy. 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies,IEEE. doi: 10.1109/ICEPE50861.2021.9404456
[17] Ademola Abdulkareem, D. O. (2021). Optimal PMU Placement using Genetic Algorithm for 330kV 52- Bus Nigerian Network. Advances in Science, Technology and Engineering Systems Journal, 6(1), 597-604. doi: 10.25046/aj060164
[18] Kyung-Yong Lee, J.-S. P.-S. (2021, November). Optimal Placement of PMU to Enhance Supervised Learning Based Pseudo – Measurement Modelling Accuracy in Distribution Network. Energies, 1-18. doi: https://doi.org/10.3390/en14227767
[19] Sushmita Poudel, S. A. (2022, November). Artificial Intelligence Based Optimal Placement of Phasor Measurement Unit for Smart Grid. Himalayan Journal of Applied Science and Engineering, 3(2), 20-28.
[20] Rohit Babu, S. R. (2023). Allocation of Synchronized Phasor Measurement Units for Power Grid Observability using Advanced Binary Accelerated Particle Swarm Optimization Approach . Journal of Electrical Systems and Information Technology, 1-27.
[21] Kabra, P. (2024, January ). Enhanced LA-HBO technique for optimal position of PMU with complete prominence. Journal of High Speed Networks, 427-443. doi: https://doi.org/10.3233/JHS-230170
[22] Dawoud, S. (2024). Allocation of Phasor Measurement Units in the Wide Area Measurement System. Journal of Engineering Research, 8(1), 1-8.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 International Journal of Computational and Experimental Science and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.
