Utilizing a Smart Grid Monitoring System to Improve Voltage Quality of Customers

Abstract

The implementation of smart grids will fundamentally change the approach of assessing and mitigating system voltage deficiencies on an electric distribution system. Many distribution companies have historically identified customer level voltage deficiencies utilizing a reactive approach that relies upon customer complaints. The monitoring capabilities of a smart grid will allow utilities to proactively identify events that exceed the voltage threshold limitations set forth by ANSI Std. C84.1 before they become a concern to end-users. This proactive approach can reduce customer complaints and possibly operational costs. This paper describes an approach for determining voltage threshold limits as a function of duration for proactive voltage investigations utilizing smart grid monitoring equipment. The described approach was applied to a smart grid located in Boulder, Colorado. This paper also describes the results of this two-year study.

Disturbances Classification Based on a Model Order Selection Method for Power Quality Monitoring

“…Using (8) and (10), the signal model can be described under the general form where k corresponds to the class number and…”

On phasor estimation for voltage sags detection in a smart grid context

“…of a 1 p.u. nominal [9]; lasting from few milliseconds to few cycles. Voltage sags are caused by abrupt increases in loads such as phase-to-phase or phase to ground short circuits, they are also caused by abrupt increases in source impedance during a loose of connection [21].…”

“…Advanced signal processing techniques are therefore required to deal with the complexity and uncertainty associated with a smart grid. In [9][10][11][12][13], a Teager-Kaiser energy operator has been proposed for power system oscillations detection and analysis. However, this operator is highly affected by noises.…”

“…These methods are based on electrical quantity signatures analysis (current, voltage, power, etc.) [9][10][11][12]; and usually involves the use of reference frame transformations such as Park's vector [13] or space vector [8][9][10][11][12][13][14]; other methods are based on advanced signal processing tools [15][16][17] where the EEMD is investigated; but the wellknown method is based on the symmetrical components transformation [18][19]. This work attempts to highlight the use of signal processing techniques for phasor estimation in the context of smart grids.…”

A smart grid voltage sag detector using an EEMD-based approach

“…For voltage sag detection, there is a wide range of technology and methods derived from contemporary power systems where condition monitoring systems use pre-installed sensors that are managed together in different architectures and coupled with algorithms to allow a smart grid efficient monitoring [8][9][10][11].…”