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Profiling Overview
The generic Dominion Virginia Power and generic Dominion North
Carolina Power customer class load profiles provide energy suppliers with important
information on typical load profiles for specific classes of customers. The
profiles may be helpful in preparing daily pre-scheduled loads. The profiles
represent the average customer's usage pattern within that specific class and
are based on annual load research class studies.
Customer class profiles are categorized as one of :
Weather Sensitve Profiles Overview
For customer classes that show a correlation between temperature
and load, a weather response profile is provided. Hourly profiles are provided
by season and day type. (The definitions for seasons and holidays are found
at the end of this section.) Each hour will have two or more profile algorithms
based on temperature ranges
(T-min and T-max). Customer load is made up of some combination of base load
and weather responsive load:
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Base load |
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| Plus |
(degrees Fahrenheit X Temp. variable) |
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| Plus |
(relative humidity X RH variable) – optional for
summer season only |
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| Plus |
(wind speed MPH X Wind variable) – optional for
winter season only |
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| Equals Total predicted load in kW |
Base load represents base usage that is expected regardless
of temperature, such as lighting and certain appliances. The weather responsive
component represents comfort conditioning and other temperature sensitive load(s)
and will have an increasing impact as temperatures move toward extremes. Wind
speed in the winter and humidity in the summer will make modest contributions
to predicted load.
Suppliers must obtain forecasted temperature, humidity, and
wind speed to prepare their forecasted load (or they may utilize an advisory
load forecast provided by Dominion.) Dominion provides the temperature, wind
and humidity variables in the appropriate weather sensitive profile spreadsheets.
Example of partial spreadsheet:
| Generic RESVA Profile |
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| Fall Season Three Day Type (Weekday, Saturday,
Sunday) |
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| Weather sensitive profile |
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| Retail Account |
Season Day Type |
Hour |
T min |
T max |
Constant |
Temp |
RH |
Wind |
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| RESVA Internal |
Fall Saturday |
1 |
0 |
53 |
2.832374 |
-0.03856 |
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| RESVA Internal |
Fall Saturday |
2 |
0 |
55 |
2.626553 |
-0.03578 |
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| RESVA Internal |
Fall Saturday |
3 |
0 |
55 |
2.575818 |
-0.03564 |
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| RESVA Internal |
Fall Saturday |
4 |
0 |
55 |
2.687809 |
-0.03806 |
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| RESVA Internal |
Fall Saturday |
5 |
0 |
55 |
2.69383 |
-0.03786 |
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| RESVA Internal |
Fall Saturday |
6 |
0 |
55 |
2.891702 |
-0.04066 |
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| RESVA Internal |
Fall Saturday |
7 |
0 |
54 |
2.959144 |
-0.03871 |
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| RESVA Internal |
Fall Saturday |
8 |
0 |
55 |
3.122688 |
-0.03622 |
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Calculation:
- Select the customer group to be profiled (in this example
“RESVA”), then select the appropriate season/day type (in this
example “Fall Saturday”) and then select the desired hour (in
this example hour 1.) Note that hour 1 is for the time between midnight and
1:00 a.m.
- Look at the T-min and T-max ranges in that hour’s
row and select the variables in that range for the forecast. This example
of a partial sheet illustrates just the lowest temperature range. There will
be additional columns in the complete sheet for higher temperature ranges.
In this example, the forecast load will be
Forecast kW = 2.832374 + (temp)(-0.03856) + (Rel. Hum.)(0) + (Wind)(0)
Assuming a temperature forecast of 49 degrees F at this
hour, relative humidity of 20% and wind speed of 12 MPH, the formula predicts
that the average customer will use:
Forecast kW |
= 2.832374
+ (49)(-0.03856) + (.20)(0) + (12)(0) |
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= 2.832374 + (-1.88944)
+ (0) + (0) |
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= 0.942934 |
The following classes have weather responsive profiles
and are linked to their downloadable profile, for further reference:
Residential
– Virginia
GS1
GS2
Commonwealth
of Virginia 5VA
Commonwealth
of Virginia 6VA
County/Municipal
– Virginia
Residential
– North Carolina
SGS
- North Carolina
Holiday Definition
The following holidays are observed by NERC and are used for
profiling:
New Year's Day
Memorial Day
Independence Day
Labor Day
Thanksgiving Day
Day after Thanksgiving
Christmas Eve
Christmas Day
Definition of Seasons
For the purposes of load profiling, the seasons are defined
as follows:
| Summer |
June 1 - August 31 |
| Fall |
September 1 - November 30 |
| Winter |
December 1 - February 28/29 |
| Spring |
March 1 - May 31 |
HISTORICAL/JULIAN PROFILES
These profiles rely on time of year and day of week as the
best predictor of customer load. The profiles may have a small degree of weather
sensitivity that will be reflected in historical usage patterns, as you would
expect. These profiles will contain a date and day of week label followed by
the 24 hourly average energy values. To forecast the first non-holiday Monday
in January, look up the first non-holiday Monday in January for the previous
year. These classes use a Julian sort concept, mapped into the forecast year’s
weekday/holiday matrix. (The definition of holidays is found in the previous
section.)
The Church class is a good example of this type of profile.
An historic Sunday or Wednesday will provide the best relative predictor of
a future Sunday or Wednesday load for the same relative week of the year. In
this way, comfort conditioning for either heating or cooling is also considered.
Other Generic Class Profiles listed here are normally forecast
based on the individual customer’s interval data recorder. The Generic
Class Profile will be referenced only in the rare case when a customer is so
new that insufficient history exists to forecast their load.
The following classes have Historical Julian profiles and
are linked, for reference, to their unbundled rate schedule:
Church
Generic profiles are provided but rarely used for the following
classes:
GS3
GS4
LGEMLP
LGSNC
MS
Julian Look-up and Deemed Profiles
Overview
Lighting
Profile:
This deemed profile assumes about 4,000 hours annual lighting use for residential
watch lights and street light customers. This profile is applied as a Julian
date profile as the hours of darkness increase through the fall and the winter
then decrease in the Spring/ summer. The profile consists of “0”
when lights are deemed “off” and “1” when lights are
deemed to be “on.” To develop a leap-year version of this file simply
repeat the on/off pattern for February 28 for February 29.
FLATONE
Profile:
This deemed profile is used for loads that are considered to be regularly “on”
all of the time, such as traffic control. This profile consists of all “1”
for every hour. To develop a leap-year version of this file simply repeat the
final row to create a 366th observation.
FLATZERO
Profile:
This deemed profile is used for loads that are forecast to be regularly “off”
all (or nearly all) of the time, such as curtailable load and standby generation.
This profile consists of all “0” for every hour. To develop a leap-year
version of this file simply repeat the final row to create a 366th observation.
Other related link:
How
to download and save a profile
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