Voltage sags observation through optimal monitor locations

Salim, F.; Nor, Khalil Md

doi:10.1109/ichqp.2010.5625318

Cited by 12 publications

(7 citation statements)

References 8 publications

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“…This is the same model of discrete linear programming proposed by [3], [5], [6], [8], [9], [11], [12]. However, these papers were concerned only at the observability of the system to the SDVVs.…”

Section: Description and Modeling Of The Problemmentioning

confidence: 99%

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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)

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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.

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Section: Description and Modeling Of The Problemmentioning

confidence: 99%

“…Many efforts have been made to deal with the problem of choosing the best locations to install PQMs, aiming at the monitoring of SDVVs occurring in the electrical power system and minimizing the PQMs quantity. Some papers have studied this problem in electrical power transmission systems [3], [5], [6], [7], [8], [9].…”

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)

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“…To calculate SARFI, the voltage of every single bus must be monitored, but it is not cost-efficient since a huge number of measurement instruments are required. Today, much research is done on the optimal placement of measuring and monitoring equipment [8][9][10][11]. An alternative cost-effective approach is approximating the voltage of buses based on a limited number of monitored buses.…”

Section: Introductionmentioning

confidence: 99%

“…In [7], the fault position method is used to apply the fault, but only for the three-phase fault. In [10], while all fault types can be applied, the accuracy has been slightly reduced. Critical distance and fault position methods (FPM) have been used to determine the vulnerable area in [11][12][13][14][15], but they have some deficiencies in ring networks.…”

Section: Introductionmentioning

confidence: 99%

Optimal placement of STATCOM using a reduced computational burden by minimum number of monitoring units based on area of vulnerability

Jalalat

Liasi

Bina

et al. 2023

IET Generation Trans & Dist

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Various Flexible Alternating Current Transmission System (FACTS) devices are used to improve the power quality and reliability of power system. In addition to the technical constraints, the installation and maintenance costs limit the exploitation of such devices. To maximize the efficiency of FACTS, the least possible number of devices must be placed optimally in the network. In this vein, many types of research have been conducted to offer optimal placement solutions. Although these methods lead to optimal placement, they usually suffer from a huge amount of computational burden. Therefore, here, an intelligent optimal placement approach is presented, focusing on reducing computational volume. For this aim in the suggested method, the monitoring buses are limited, while monitoring other buses is carried out using an estimation approach. To avoid increasing calculations for this selection, applying the worst fault condition instead of all fault types, the least number of monitoring buses are selected. Moreover, high‐risk zones are indicated for each monitoring bus so that by applying different fault conditions in only these areas, the study is conducted, which results in an additional decrement in computational burden. Finally, the optimal placement problem is solved by employing the genetic algorithm.

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“…Para a identificação dos melhores pontos de monitoramento no sistema, várias metodologias de alocação otimizada de monitores de QEE em SEP's estão presentes na literatura. Por exemplo, há estudos que visam assegurar uma cobertura completa dos afundamentos de tensão [6]; outros estão voltados para a garantia da cobertura redundante no monitoramento desses eventos [7,8]; existem trabalhos que buscam empregar a alocação otimizada de monitores para identificação da localização da ocorrência de faltas [9]; há também artigos relatando a utilização de otimização da alocação para monitoramento de distorções harmônicas [10]; bem como na localização da origem de flutuações de tensão que podem ser observadas por cintilação [11].…”

Section: Introductionunclassified

Abordagem Baseada Em Algoritmo Evolutivo Multiobjetivo E No Método De Monte Carlo Para Monitoramento Otimizado De Afundamentos De Tensão Em Sistemas De Distribuição De Energia Elétrica

Carneiro¹,

Alves²,

Rabêlo³

et al. 2016

L&NLM

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Voltage sags are some of the most serious quality problems of electricity faced by both concessionaires as consumers of Electric Power System. Constant monitoring is essential to identify the disturbances in a distribution system, however the costs involved make impossible the complete monitoring system, as only a limited number of monitors are available to cover the largest possible number of events. Thus, it is clear that the determination of the equipment installation points is a crucial factor for the success of the monitoring plan. In this paper an approach to optimized allocation of quality monitors electricity in distribution systems is presented. We used techniques of multi-objective evolutionary optimization, specifically Non-Dominated Sorting Genetic Algorithm II algorithm -NSGA-II to solve the problem of allocation monitors. The model adopted in the problem formulation considers only those aspects related to voltage sags, therefore, considered the objectives were to maximize the amount of subsidence observed by monitors distributed in the system and reduce the cost of monitoring. The occurrence of single-phase, two-phase and three-phase faults were considered in the proposed methodology and the conduct of the frequencies of each of the fault types were modeled using the Monte Carlo method. The presented approach was subjected to IEEE test 13 and 34 nodes feeders, simulated in DigSILENT Power Factory 15.1 software. The results allow the user the choice of monitoring solution that best fits their technical and financial reality, thus demonstrating the good efficiency of the proposed methodology.

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Voltage sags observation through optimal monitor locations

Cited by 12 publications

References 8 publications

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

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

Optimal placement of STATCOM using a reduced computational burden by minimum number of monitoring units based on area of vulnerability

Abordagem Baseada Em Algoritmo Evolutivo Multiobjetivo E No Método De Monte Carlo Para Monitoramento Otimizado De Afundamentos De Tensão Em Sistemas De Distribuição De Energia Elétrica

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