Good power quality is extremely important in
“high-tech” facilities such as manufacturing plants, data centres,
hospitals, and, as well as in “low-tech” facilities such as government
buildings and commercial enterprises with limited tolerance for electrical
disturbances.
Compromised power quality can have costly repercussions, ranging
from premature aging/damage of equipment to reduced productivity and
interference with business as usual. Common causes of variations in power
quality include voltage sags, spikes, and swells, short and long interruptions
of power lasting from a few milliseconds to 2+ seconds, and harmonic
disturbances.
Facilities vested in good power quality can take advantage
of power quality monitoring systems that, operating 24/7, use hardware
including sensors and meters to measure electrical sensitivity, software to
record and interpret the data, and wired and wireless communications to inform
management about what went wrong that affected power quality and where in the
electrical system it happened. Power quality monitoring also can keep tabs on a
facility’s emergency/backup and/or standby power system.
1. Early
detection of an incipient problem. Awareness of a problem early on, before
it escalates and when it is easy to address, minimizes the likelihood of costly
interruptions to operations and, possibly, avoids the need for emergency
repairs during inconvenient times.
2. Power quality analysis that takes advantage
of continuously recorded waveforms that can identify such anomalies as power outages, sags and swells, and
transient harmonics, cycle by cycle in milliseconds, can compare current
operating parameters of electrical equipment against the manufacturer’s
baseline to detect any anomalies that could lead to inefficient operation or
failure. The ability to review stored, continuously recorded waveform helps
in the diagnosis of problems before an unwanted event recurs.
3. Power quality analytics also supports
forensics, allowing management to determine how a chain of events occurred as
it did, such as why a facility lost a particular breaker that tripped the power
distribution unit and resulted in a switch over to the UPS. Power quality
analytics could, in that scenario, pinpoint what the root cause was – e.g. a
short, an electrical spike, or a floating ground.It can also pinpoint power
quality problems that can prematurely age equipment.
4. Power quality analysis can also be used for
pre-function testing to look closely at systems and their responses and to
simulate transients and other events. Historical records become a baseline that
can be compared to equipment and component performance over time, enabling
detection of performance trends that can be interpreted to enhance preventive
maintenance programs, predict future power requirements, and aid in plans for
additional electrical equipment, such as servers or variable frequency drives
to control energy costs.
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