Optimal PMU Placement by Improved Cuckoo &amp; PSO Method

Patel, Mantra; Talati, Shefali

doi:10.1109/icaect49130.2021.9392603

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…Furthermore, to determine the optimal placement of PMU devices, the methods of the Cuckoo optimization algorithm [147], binary bat algorithm [148], Discrete water cycle optimization [149], and Greedy algorithm [150] are used.…”

Section: Determining the Optimal Installation Locations For Pmusmentioning

confidence: 99%

Directions of Application of Phasor Measurement Units for Control and Monitoring of Modern Power Systems: A State-of-the-Art Review

Pazderin,

Zicmane,

Senyuk

et al. 2023

Energies

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The development of modern power systems is directly related to changes in the traditional principles of management, planning, and monitoring of electrical modes. The mass introduction of renewable energy sources and control devices based on power electronics components contributes to changing the nature of the flow of transient and quasi-established electrical modes. In this area, the problem arises of conducting a more accurate and rapid assessment of the parameters of the electrical regime using synchronized vector measurement devices. The paper presents an extensive meta-analysis of the modern applications of phasor measurement units (PMUs) for monitoring, emergency management and protection of power systems. As a result, promising research directions, the advantages and disadvantages of the existing approaches to emergency management, condition assessment, and relay protection based on PMUs are identified.

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Section: Determining the Optimal Installation Locations For Pmusmentioning

confidence: 99%

Directions of Application of Phasor Measurement Units for Control and Monitoring of Modern Power Systems: A State-of-the-Art Review

Pazderin,

Zicmane,

Senyuk

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…Optimal PMU Placement (OPP) has been studied by applying different algorithms to attain full observability of power systems during normal and abnormal operating conditions [ [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] ]. A literature review of different optimization techniques applied to solve the OPP problem was presented in Ref.…”

Section: Introductionmentioning

confidence: 99%

“…The minimum spanning tree algorithm was used for modifying the unobservable solution into observable solutions, while the GA was applied to fix any unobservable buses of the allocated PMUs. Both Particle Swarm Optimization (PSO) and Cuckoo Optimization (CO) were applied to identify the optimal number and placements of the PMUs while achieving associated restrictions [ 26 ]. Whereas, PSO and Global search optimization techniques were applied to solve the OPP problem [ 27 ].…”

Section: Introductionmentioning

confidence: 99%