Effect of PSO parameters on allocation of phasor measurement units in power system

Phasor measurement unit (PMU) is a modern device that could be used as both protection and wide area monitoring in a power system. Throughout the wide area monitoring system (WAMS), all the synchronized data acquired by the PMUs in multiple locations were analyzed by phasor data concentrators (PDC)....

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Bibliographic Details
Main Authors: Rahman, Nadia Hanis Abd, Ramlan, M. Aiman, Rahmat, M. Khairil, Ismail, Bazilah
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Contingency
Control systems
Data acquisition
Measuring instruments
Monitoring
Parameters
Particle swarm optimization
Phasors
Support systems
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Summary:Phasor measurement unit (PMU) is a modern device that could be used as both protection and wide area monitoring in a power system. Throughout the wide area monitoring system (WAMS), all the synchronized data acquired by the PMUs in multiple locations were analyzed by phasor data concentrators (PDC). This control support system could determine a suitable protective control and a preventive correction in the case of a contingency plan based on PMUs measurement data. Subsequently, the allocation of PMUs is important due to constraints such as the cost of PMUs itself. Therefore, the objective of most research in this area is to determine the optimal PMUs placement (OPP) that can achieve full observability of the power system with minimal number of PMUs. In this paper, using particle swarm optimization (PSO) algorithm, the effect of PSO parameters is investigated. A binary concept of PSO is used to determine PMUs optimal location for IEEE 30-bus system. The tests were divided into five cases and the simulation results show the importance of parameters used for PSO algorithm. In the tests, the use of linear decreasing inertia weight or constriction factor can prevent the particles from being trapped in local optima.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0111119