Optimized power quality monitor placement based on a Particle Swarm Optimization algorithm

Bertho, Rui; Kempner, Thais Reggina; Vieira, José Carlos M.; Oleskovicz, Mário; Coury, Denis Vinicius

doi:10.1109/ichqp.2016.7783411

Cited by 7 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Going a step further, it was demonstrated how these algorithms can be easily adapted to different types of systems. In fact, its practicality would allow the operation in real time to restore observability from pseudo-measurements, with just a few small changes [3,4], in which they use an evolutionary algorithm for state estimation.…”

Section: Introductionmentioning

confidence: 99%

Optimized Allocation of Phasor Measurement Units in Transmission Systems Using Particle Swarm Optimization

Fernandes¹,

Albertini²,

Pires³

et al. 2024

RE&PQJ

View full text Add to dashboard Cite

This paper describes a particle swarm optimization-based method of multi-objective optimal phasor measurement unit's allocation in transmission systems. The allocation problem can be modeled in the binary domain and equated in to work with mono objective meta-heuristics without ignoring its multi-objective nature. Although the particle swarm optimization is more suited for continuous domain problems, with some adaptations, it can also perform well in allocation problems using few iterations. The algorithm and problem modeling adaptations, test systems' results and comparison with other algorithms in literature are presented and exhibits promising results for optimal monitor allocation in small and medium sized transmission systems.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimized Allocation of Phasor Measurement Units in Transmission Systems Using Particle Swarm Optimization

Fernandes¹,

Albertini²,

Pires³

et al. 2024

RE&PQJ

View full text Add to dashboard Cite

show abstract

“…In Solano et al (2015), TMRA was used, simulating all fault types, to evaluate the impact of the reconfiguration of a distributed generation plant. Bertho et al (2016) consider different fault types and thresholds to evaluate the variations in observability area of the monitors in a distribution system. And Martins et al (2018) simulated single-phase solid faults and different detection thresholds to solve the problem of monitor placement in a distribution system with maximum capacity to identify unique events.…”

Section: Introductionmentioning

confidence: 99%

An Algorithm for Optimal Placement of Voltage Sag Monitors

Junqueira

Brito

Souza

et al. 2019

J Control Autom Electr Syst

View full text Add to dashboard Cite

Voltage sags are disturbances that deserve special attention in power quality (PQ) area, given its frequent occurrences. Their constant monitoring is, therefore, essential to diagnose its causes and mitigate economic losses of electric utility customers. However, the cost of a monitoring system may be excessive if not evaluated strategically. In this context, this work presents an algorithm for the installation of PQ monitors at strategic points of electric power distribution systems in order to diagnose voltage sags. Observability area concept and binary particle swarm optimization method were used to evaluate the problem. A sensitivity analysis was also performed, in which the influence of several parameters, such as fault resistance, system loading, detection threshold, fault type, and system expansion, was evaluated. The algorithm was validated in a Brazilian distribution system and in IEEE 34-bus system. The results indicated that the algorithm was able to detect voltage sags throughout the system using monitors at few buses, reducing the cost of the monitoring system.

show abstract

“…This proposed methodology used a stochastic method to define the short-circuit conditions that are simulated. On the other hand, [11] and [12] used the fault positions method to generate the short-circuit database for the optimization algorithm.…”

Section: Introductionmentioning

confidence: 99%

Optimized allocation of power quality monitors in distribution systems considering fault location

Martins

Oleskovicz

Pessoa

et al. 2018

2018 18th International Conference on Harmonics and Quality of Power (ICHQP)

View full text Add to dashboard Cite

Short-duration voltage variations are disturbances of great concern, in the context of power quality. The permanent monitoring of these events is important because they are unpredictable and cause high economic losses to consumers. The strategic placement of power quality monitors has been studied, aiming, mostly, to reduce the installation cost of this monitoring system. However, it is more important not just monitoring these disturbances, but also identify their sources. This paper proposes a multi-objective approach, aiming, besides to reduce the cost also provide a meter allocation in favor of the location of the disturbance source. The optimization model proposed is solved by means of the Algorithm for Bicriteria Discrete Optimization and applied in IEEE 13 bus distribution test system. Several options of monitoring systems were obtained, respecting various constraints that influence decision making.

show abstract

Optimized power quality monitor placement based on a Particle Swarm Optimization algorithm

Cited by 7 publications

References 8 publications

Optimized Allocation of Phasor Measurement Units in Transmission Systems Using Particle Swarm Optimization

Optimized Allocation of Phasor Measurement Units in Transmission Systems Using Particle Swarm Optimization

An Algorithm for Optimal Placement of Voltage Sag Monitors

Optimized allocation of power quality monitors in distribution systems considering fault location

Contact Info

Product

Resources

About