Voltage Sag Studies in Distribution Networks—Part II: Voltage Sag Assessment

Martínez, J.A.; Martin-Arnedo, J.

doi:10.1109/tpwrd.2006.874112

Cited by 65 publications

(41 citation statements)

References 7 publications

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“…Therefore, if the number of fast-shots is increased, permanent outages, and consequently, SAIFI will decrease. On the other hand, as the number of fast-shots increases, a less number of loads can withstand the repetitive momentary voltage interruptions [23]. It leads to an increase in momentary outages and MAIFI.…”

Section: Reclosers and Systems Outagesmentioning

confidence: 99%

Optimal Recloser Setting, Considering Reliability and Power Quality in Distribution Networks

Azari¹,

Chitsazan²,

Niazazari³

2017

EPES

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Reclosers and fuses are the commonplace protective devices in distribution networks. A recloser can prevent long-time outages by clearing temporary faults before operation of the fuses in the system. Thus, it decreases the rate of long-term outages and improves system reliability and power quality. Despite positive features of reclosers, each operation of a recloser causes a momentary voltage interruption that exacerbates power quality. Nowadays, power quality issues have become more important because of the increasing use of sensitive equipment to voltage interruptions. According to the mentioned concerns, it seems necessary to set reclosers to strike a balance between power quality and the effectiveness of fuse saving scheme. Thus, we proposed a method to set reclosers. Due to the random nature of faults, the proposed method is stochastic based on the Monte Carlo method. The proposed method determines the optimal number of operations, reclosing intervals, and protection zones. The proposed method efficiency is evaluated according to the simulation results, and the proposed method is capable of establishing an optimal trade-off between power quality and protection efficiency.

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Section: Reclosers and Systems Outagesmentioning

confidence: 99%

Optimal Recloser Setting, Considering Reliability and Power Quality in Distribution Networks

Azari¹,

Chitsazan²,

Niazazari³

2017

EPES

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“…Os afundamentos em duas fases representam 20% das previsões estocásticas para afundamentos de tensão [2]. Nesse experimento, configurou-se o emulador de rede para gerar um afundamento bifásico de 0,6 p.u.…”

Section: Afundamento Bifásicounclassified

“…e 0,9 p.u., em um intervalo entre 0,5 ciclo a 3 segundos [1]. O mesmo geralmente é ocasionado por curtocircuitos, sobrecargas na rede elétrica e partida de grandes motores [2]. Um estudo sobre uma nova classificação de afundamentos de tensão, de acordo com o tipo, características e presença de componentes de sequência zero, foi apresentado em [3], enquanto que classificações de afundamentos de tensão foram abordadas em [4], [5].…”

Section: Introductionunclassified

“…Aplicando-se o conceito de valor agregado, introduzido em [6], consegue-se facilmente identificar afundamentos de tensão balanceados. Porém, a maioria dos afundamentos são desbalanceados, e mais de 75% deles são afundamentos de tensão monofásicos [2]. Este fato tem motivado a produção de vários artigos relacionados com detecção de afundamentos assimétricos, como em [7], onde um filtro adaptativo não linear foi usado para rastrear a profundidade do afundamento.…”

Section: Introductionunclassified

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Um Algoritmo Robusto e Rápido para Detecção de Afundamento de Tensão

Lima¹,

Dantas²,

Guerrero³

et al. 2016

Eletrônica de Potência

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Afundamento de tensão é um problema recorrente em sistemas elétrico, sendo o mesmo considerado um dos mais relevantes fatores que contribuem para deterioração da qualidade de energia elétrica. Neste artigo, um novo e abrangente algoritmo de detecção de afundamentos de tensão, batizado de ADAMF, é apresentado. O algoritmo pode, rapidamente,detectar afundamentos de tensões simétricos e assimétricos devido a sua habilidade de monitorar, independentemente, a componente fundamental de tensão em cada fase. O valor agregado das tensões, no referencial αβ, é comparado com 0,9 com o intuito de detectar ocorrência deste tipo de contingência. Simulações e resultados experimentais são apresentados para validação do algoritmo proposto.

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“…Detailed discussion of advantages and disadvantages of these approaches in general and related to specific types of simulation studies is provided in many past papers including [3,4,[15][16][17][18][19]. Similarly, a number of approaches have been proposed to assess single-site indices, including fault positions-based stochastic method [20][21][22][23][24], critical distances [22,23] and Monte Carlo (MC)-based stochastic approaches [15,16,20,25]. A stochastic assessment of voltage sags is used in [26] to get the expected number and characteristics of sags using deterministic short circuit simulations and the stochastic data of the faults.…”

Section: Introductionmentioning

confidence: 99%

Identification of Weak Areas of Network Based on Exposure to Voltage Sags—Part II: Assessment of Network Performance Using Sag Severity Index

Liao

Abdel-Rahman

Guo

et al. 2015

IEEE Trans. Power Delivery

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Abstract--This paper presents a new stochastic approach to comprehensive assessment of the impact of voltage sags in large scale power networks. The approach takes into account the stochastic nature of power system operation including load variation, uncertainty of fault clearing time by protection relays, fault rates of network components and the variation/uncertainty in equipment sensitivity to voltage sags. A new duration zone division method is used to derive sag duration and occurrence frequency based on stochastic distribution of clearing time required by specific protection systems. The adopted probabilistic representation facilitates estimation of network performance based on a single-event characteristic, sag severity index (SSI), developed in the companion paper (Part I). Based on SSI, a new single-site index with respect to voltage sags (Bus Performance Index, BPI S ) is developed to comprehensively represent the overall bus performance with respect to voltage sags. The index is used to identify the areas of the network, named weak areas of the network in this paper, containing buses that are most exposed to potentially disruptive voltage sags. The application, robustness and sensitivity of BPI S are thoroughly analysed and discussed in the paper.Index Terms-Voltage sags, equipment susceptibility, voltage tolerance curves, sag severity index. I. INTRODUCTIONoltage sags cause frequent disruptions to modern industrial processes and malfunction of electronic equipment, resulting in substantial financial losses [1]. This issue, as one of the most critical power quality problems, has become a major focal point for many utilities and industries [2]. To reduce overall financial consequences of voltage sags, it is necessary to assess voltage sag performance of network buses as accurately as possible and consequently to identify the buses that are most affected by voltage sags. Assessing voltage sag performance at certain location requires two steps: calculating single-event characteristic for each sag event; and then calculating single-site indices based on the single-event characteristics of all sag events occurring at the location [3]. Various single-site indices have been proposed in literature to assess voltage sag performance. Sag severity at certain location can be presented through probability density and distribution functions [3]. Furthermore, the sag information can be compressed into a sag table which groups the sags based on the interval of residual voltage and duration [4][5][6][7][8][9], or by using modified reliability based SAIFI index [10][11][12]. These single-site indices simply give the number of events per year within a certain range of magnitude and duration, resulting in discrete representation of sag characteristics. The aforementioned indices are not suitable for comparing the actual voltage sag performance of different buses as they typically do not include multiple sag characteristics at the same time nor, and more importantly, sensitivity of equipment connected at these buses to vo...

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Voltage Sag Studies in Distribution Networks—Part II: Voltage Sag Assessment

Cited by 65 publications

References 7 publications

Optimal Recloser Setting, Considering Reliability and Power Quality in Distribution Networks

Optimal Recloser Setting, Considering Reliability and Power Quality in Distribution Networks

Um Algoritmo Robusto e Rápido para Detecção de Afundamento de Tensão

Identification of Weak Areas of Network Based on Exposure to Voltage Sags—Part II: Assessment of Network Performance Using Sag Severity Index

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