IEEE Power & Energy - Spanish - May/June 2018 - 31

©iStockph
oto.com/h
amSte

r3d

Vincular "big data" con el
análisis para crear información
procesable

caso sobre el análisis descriptivo y predictivo. asimismo, proporcionamos un muestreo
de los beneficios derivados de los datos de las µPMu.

¿Qué es una µPMU?
¿Por qué es necesaria?
algunas de las características de la red de distribución que
causan dificultades para la tecnología de detección y medición convencional incluyen la aleatoriedad del comportamiento del cliente, el alto volumen de nodos, la falta de
metadatos útiles y una serie de incógnitas como la topología
mayo/junio 2018

de la red, los controles y el comportamiento de
recursos particulares. la industria de servicios
públicos de electricidad acaba de tomar medidas
importantes en busca de una mejor visibilidad
de la red de distribución para abordar algunos de
estos desafíos, con la integración de medidores
inteligentes. aun cuando los medidores inteligentes brindan un conjunto de datos con intervalos
de tiempo de 15 min. que contienen información
valiosa sobre el comportamiento del cliente, no
proporcionan la información transitoria del comportamiento de tensión y corriente útil para el
posible diagnóstico de fallas incipientes. ahora,
mediante el uso de las µPMu, se pueden abordar
esta y otras deficiencias.
si bien es cierto que las µPMu pueden apoyar
o contribuir con algunos de los usos de las PMu
a nivel de transmisión, tales como la medición de
ubicación sincronizada, de frecuencia fundamental
o identificación de oscilaciones dentro del área, es la
serie de tiempo (es decir, la secuencia de mediciones
sincronizadas de ángulo de fase y magnitud en tres
fases) la que proporciona la mayor ventaja al sistema
de distribución.
una µPMu habitual está conectada a circuitos de
distribución monofásicos o trifásicos para medir, de
forma continua, magnitudes de tiempo del sistema de
posicionamiento global y los ángulos de fase de la tensión y la corriente en dos lecturas/ciclo, o 120 lecturas/s.
Esto es 108,000 veces más rápido que la tasa de informe de
un medidor inteligente habitual, que proporciona una lectura
cada 15 minutos. cada uno de estos conjuntos de datos es útil
para un propósito específico, pero usarlos de tal modo que
sean los más "adecuados para determinado propósito" puede
llegar a ser todo un desafío. En la detección y medición de
la red de distribución, no existe ningún enfoque genérico: se
necesita tener una mentalidad abierta a todas las opciones
que puedan presentarse, pero esto sigue siendo un desafío
ieee power & energy magazine

31



http://www.iStockphoto.com/hamSter3d

Table of Contents for the Digital Edition of IEEE Power & Energy - Spanish - May/June 2018

Contenidos
IEEE Power & Energy - Spanish - May/June 2018 - Cover1
IEEE Power & Energy - Spanish - May/June 2018 - Cover2
IEEE Power & Energy - Spanish - May/June 2018 - Contenidos
IEEE Power & Energy - Spanish - May/June 2018 - 2
IEEE Power & Energy - Spanish - May/June 2018 - 3
IEEE Power & Energy - Spanish - May/June 2018 - 4
IEEE Power & Energy - Spanish - May/June 2018 - 5
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IEEE Power & Energy - Spanish - May/June 2018 - 7
IEEE Power & Energy - Spanish - May/June 2018 - 8
IEEE Power & Energy - Spanish - May/June 2018 - 9
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IEEE Power & Energy - Spanish - May/June 2018 - 11
IEEE Power & Energy - Spanish - May/June 2018 - 12
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IEEE Power & Energy - Spanish - May/June 2018 - 123
IEEE Power & Energy - Spanish - May/June 2018 - 124
IEEE Power & Energy - Spanish - May/June 2018 - Cover3
IEEE Power & Energy - Spanish - May/June 2018 - Cover4
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