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<p>Synchrophasors estimated by Phasor Measurement Units (PMUs) is useful for monitoring, controlling, protecting and analyzing the power system. As the PMUs are expensive, they cannot be placed at each and every bus. Also, they can give the measurements of the adjacent buses so, it is required to choose optimal number of PMUs to be allocated in a given system to make the entire system observable. In this paper, optimal allocation of PMUs is done by implementing variable cost of PMUs in the Optimal PMU Placement (OPP) formulation. The variable cost is formulated such that optimized number of measurement channels are utilized. To show the effectiveness of variable cost approach, conventional same cost approach is also simulated and compared with the proposed variable cost method which shows significant cost reduction for the given systems. The optimal allocation of PMUs for observing the system completely is done by using an appropriate metaheuristic algorithm named Binary Atom Search Optimization (BASO). Simulation is carried out on six IEEE benchmark bus systems (9, 14, 24, 30, 39, 57). The approach has been applied to the North Eastern Regional Indian Power Grid (NERIG) following testing on these benchmark systems. The results of optimal PMU allocations using BASO is compared with existing algorithms available in the literature. This comparison has shown that the suggested approach is the most accurate and successful.</p>

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Binary Atom Search Optimization for Allocation of PMUs Considering Channels Cost

  • 期刊论文

  • 发表日期：

    2025年7月29日

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  • Tejaswi Algam,
  • Anandita Chowdhury,
  • Prasanta Kundu

摘要

Synchrophasors estimated by Phasor Measurement Units (PMUs) is useful for monitoring, controlling, protecting and analyzing the power system. As the PMUs are expensive, they cannot be placed at each and every bus. Also, they can give the measurements of the adjacent buses so, it is required to choose optimal number of PMUs to be allocated in a given system to make the entire system observable. In this paper, optimal allocation of PMUs is done by implementing variable cost of PMUs in the Optimal PMU Placement (OPP) formulation. The variable cost is formulated such that optimized number of measurement channels are utilized. To show the effectiveness of variable cost approach, conventional same cost approach is also simulated and compared with the proposed variable cost method which shows significant cost reduction for the given systems. The optimal allocation of PMUs for observing the system completely is done by using an appropriate metaheuristic algorithm named Binary Atom Search Optimization (BASO). Simulation is carried out on six IEEE benchmark bus systems (9, 14, 24, 30, 39, 57). The approach has been applied to the North Eastern Regional Indian Power Grid (NERIG) following testing on these benchmark systems. The results of optimal PMU allocations using BASO is compared with existing algorithms available in the literature. This comparison has shown that the suggested approach is the most accurate and successful.