Optimal monitoring of voltage sags through simultaneous analysis of short‐circuits in distribution systems

Kempner, Thais Reggina; Oleskovicz, Mário; Gomes, Douglas Pinto Sampaio

doi:10.1049/iet-gtd.2016.1648

Cited by 20 publications

(26 citation statements)

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“…En su construcción y modelado matemático usa el método de Locaciones de Falla (LF), que consiste en la segmentación de líneas, definiendo puntos de falla posibles tanto en líneas como en barras. Como criterio de optimalidad, se debe garantizar que todos los hundimientos de tensión deben ser observados o registrados al menos por un monitor para una falla dada y para un umbral de detección establecido [8], [9], [12]- [15].…”

Section: Ubicación óPtima De Monitores Usando La Mohtunclassified

Ubicación óptima de monitores de hundimientos de tensión en redes de distribución incorporando restricciones de localización de fallas de red

Cabezas-Jaimes¹,

Solano²,

Suárez³

et al. 2017

revuin

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Section: Ubicación óPtima De Monitores Usando La Mohtunclassified

Ubicación óptima de monitores de hundimientos de tensión en redes de distribución incorporando restricciones de localización de fallas de red

Cabezas-Jaimes¹,

Solano²,

Suárez³

et al. 2017

revuin

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“…To make the optimal placement program more precise, a method expressed in [11] deals with uncovered line faults, which are ignored by the original MRA method. Besides, in order to find the result of optimal replacement in a short time, a method of simultaneously analyzing different types of faults is proposed by obtaining a reduced observability matrix [12]. Moreover, a variety of optimization methods, including Genetic Algorithm, Binary Particle Swarm Optimization (BPSO) and etc.…”

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confidence: 99%

A BPSO-Based Method for Optimal Voltage Sag Monitor Placement Considering Uncertainties of Transition Resistance

Jiang

Liu

et al. 2020

IEEE Access

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This study presents a new approach to the optimal placement of voltage sag monitors considering the uncertainties associated with transition resistance. The influence of transition resistance on the magnitude of voltage sags triggered by symmetrical and unsymmetrical faults is analyzed. Then the transition resistance interval set array for voltage sags is established, on the basis of which, a random vector model on voltage sag observability is proposed and related observability indices are defined in the form of conditional probability. The optimal placement model is established by taking the available number of monitors as the constraint condition and the maximum sag global observability index as the objective function. Binary particle swarm optimization (BPSO) is implemented to obtain the optimal placement results. Finally, simulation is carried out on IEEE 30-bus system, and it is shown that the proposed optimal monitor placement method is more applicable compared with the traditional MRA method. INDEX TERMS Binary particle swarm optimization, conditional probability, observability indices, optimal monitor placement, random vector model, transition resistance, uncertainties, voltage sags. I. INTRODUCTION Voltage sags are the most frequently occurring power quality disturbances, mainly caused by faults in a power system. Voltage sag is typically defined as the reduction of RMS voltage from 0.1 to 0.9 p.u. with a typical duration of 0.5 cycle to 1 min, which is usually characterized by its magnitude (the magnitude of during-fault voltages) and duration (the time during which the RMS voltage stays below a given threshold, usually 0.9 p.u.) [1]-[4]. Many studies conducted around the world have shown that voltage sags cause customers of various sectors significant financial losses, for instance, in a semiconductor manufacturing industry, economic losses per voltage sag have been estimated 3.8 million e[5], [6]. But it is unrealistic to expect that the grid will provide a completely financialloss-free power quality environment for all customers [6]. Before implementing adequate countermeasures, it is necessary to establish a monitoring system by using appropriate power quality monitors (PQMs) and this system should The associate editor coordinating the review of this manuscript and approving it for publication was Hui Ma .

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“…Então, assume-se também que o sistema de monitoramento será composto de uma infraestrutura de comunicação, de tal forma que o sistema localizador de faltas seja capaz de obter em tempo real as medições de todos os PQMs otimamente instalados. A simulação das faltas elétricas é executada por meio de expressões analíticas visando chegar em matrizes que representem a tensão durante a falta, assim como em (OLGUIN; VUINOVICH; BOLLEN, 2006; HAGHBIN; FARJAH, 2009; ESPINOSA-JUAREZ; HERNANDEZ; OLGUIN, 2009;MAZAHERIFAR, 2013;KEMPNER;SANTOS, 2014;MARTINS et al, 2016;BERTHO et al, 2016;KEMPNER;GOMES, 2017;BRANCO et al, 2018;MARTINS et al, in press).…”

Section: Considerações Finaisunclassified

Alocação otimizada de medidores em sistemas de distribuição visando à redução da múltipla localização de faltas

Martins¹

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Optimal monitoring of voltage sags through simultaneous analysis of short‐circuits in distribution systems

Cited by 20 publications

References 10 publications

Ubicación óptima de monitores de hundimientos de tensión en redes de distribución incorporando restricciones de localización de fallas de red

Ubicación óptima de monitores de hundimientos de tensión en redes de distribución incorporando restricciones de localización de fallas de red

A BPSO-Based Method for Optimal Voltage Sag Monitor Placement Considering Uncertainties of Transition Resistance

Alocação otimizada de medidores em sistemas de distribuição visando à redução da múltipla localização de faltas

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