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Central Maine
Power Company
Chapter 321
Methodology Report #2
INTRODUCTION
The
Maine Public Utilities Commission (MPUC) sets the rules governing load
obligation and settlement calculations in Chapter 321. The Chapter establishes the requirements for
reporting the hourly and monthly load obligations of competitive electricity
providers operating in Maine to the Independent System Operator - New England
(ISO-NE). It also sets forth the
conditions for telemetering as well as the general methods and requirements for
load profiling, information access, and data transfer.
Chapter
321 Section 9 specifies that utilities file two methodology reports: a report on sampling and data validation,
and a report on profiling and load estimation methodology. The first was filed on December 1, 1998 and
was accepted by the MPUC. This report
is submitted to satisfy the second methodology report requirement in Chapter
321.
BACKGROUND
The
necessity for load profiling derives from the settlement functions performed by
ISO-NE for competitive electricity providers serving load in New England. ISO-NE compares the hourly demand placed on
the system to the resources delivered by each provider. The comparison is for purposes of settling
each hourly and monthly capacity and energy market. Thus, accurate load information must be available to the ISO-NE
for each hour of a day and for each provider to allocate providers' share of
cost. Since most customers do not have
hourly metering, load profiling is necessary for the customers to participate
in retail choice.
The
following sections describe the software that Central Maine Power (CMP) will
use to perform the load profiling and settlement function, the load profiling
methods that will be used, the calculation for estimating hourly and monthly
load obligations, and reporting to ISO-NE and suppliers.
LOAD PROFILING AND
SETTLEMENT SOFTWARE
CMP
purchased Load Vision, a product of ICF Consulting, Inc., to perform load
profiling and load estimation calculations.
Load Vision is a profiling, scheduling, and settlement tool that is
currently used by utilities and energy suppliers to forecast and settle loads
in open access markets. The tool offers
many capabilities, one of which is auditability. Information flowing into Load Vision is "time-stamped"
so that prior settlement runs can be recalculated at any time. The Load Vision product is being used by all
investor owned utilities in Maine.
PROFILING METHODS
The
method of load profiling will have a direct impact on the load estimation
calculations and consequently on financial settlements at ISO-NE. There are six general types of profiling
methods available to estimate hourly loads:
·
Dynamic
Metering
·
Dynamic
Modeling
·
Proxy
Day
·
Static
·
Calendar
Rotation
·
Deemed
Dynamic
metering is done by installing telemetering on a sample of customers from each
profile group. The meters are
interrogated daily, providing a profile for the day that represents actual
load.
Dynamic
modeling is a relationship between load and weather. Typically this would be a regression of the historical load of
customers in a sample against the weather that occurred during the time of the
load. The regression could be either a
daily regression or an hourly regression for any season and day type
combination.
Proxy
day profiling is accomplished by selecting a day in history that most closely
matches the day being estimated. The
proxy day can be chosen based on either system load or weather. Actual data from the sample for the selected
proxy day is then used to create the profile.
Static
profiles are typical day representations for any season and day type
combination. Static profiles do not
reflect operating conditions of the day being estimated.
Calendar
rotation is simply rotating a calendar of historical interval data to reflect
the calendar of the time being estimated.
Calendar rotation also does not reflect operating conditions of the day
being estimated.
The
last approach is deemed profiles.
Deemed profiles are engineering estimates and are typically used for
very predictable loads such as street lights or area lights.
Each
of these methods varies in terms of cost, accuracy and predictability. Dynamic is most accurate but also most
costly. As you move down the list shown
above, the cost decreases but the accuracy decreases as well. Predictability is also extremely important
because the financial settlement at ISO-NE will reconcile what was scheduled
ahead of time to the after-the-fact load estimation reported by CMP. Predictability helps in this regard. The lower cost methods are the most
predictable but the unpredictability gets shifted to the "unaccounted-for
energy" (described later). The
best method for profiling should strike a balance between cost, accuracy, and
predictability.
Competitive
electricity providers that were interested in bidding on Standard Offer
expressed concern that the methodology to derive load profiles would not be
available until after their bids were submitted. An additional concern was that each utility could choose a
different methodology and thereby increase the complexity to a supplier
operating in multiple service territories.
CMP
considered the concerns of competitive electricity providers regarding profiling
methodology and was interested in meeting suppliers' needs in the transition to
a competitive electricity market.
However, there was a risk that choosing a method early in the analysis
process could result in selection of a methodology that may not be the most
accurate. Despite this, CMP and the
MPUC supported making a decision in time for Standard Offer bidders to use the
information in their bid. Selecting a
profiling method during the bid process allowed Standard Offer bidders to have
the necessary information to prepare their bids.
Bangor
Hydro-Electric, Central Maine Power, Maine Public Service, and the MPUC agreed
that the utilities would use the same load profiling methodology for the three
profile groups defined in Chapter 321.
Each utility will generate static profiles that represent a typical
weekday or typical weekend day for each month of the year for each of the three
profile groups. Holidays will be
modeled using a weekend profile.
Since
CMP is using Load Vision and a static profiling methodology, it is important to
understand how Load Vision calculates a static profile. Traditional static profiles are created by
simply averaging hourly values for each season and day type combination. However, this results in a flattened load
shape. That is, the average load
shape's peak is generally too low and the trough is generally too high. Load Vision improves on the traditional
calculation by using a rank average method, described in Appendix A. Load Vision's method results in a static
profile that more accurately reflects a typical day usage pattern, including
the height of the peaks and depth of the troughs.
The
static profiling approach is the one of the most straightforward profiling
methodologies as well as one of the most predictable. CMP will use a static profiling methodology for the first year of
retail competition. During this time,
CMP will evaluate other approaches to determine which best balance accuracy,
cost, and predictability. A report will
be provided to the MPUC by June 2000 that details any recommended changes in
profiling methodology or profile groups that would become effective March 1,
2001.
CMP
will utilize a deemed profile for unmetered load (street and area
lighting). Since street and area
lighting load is so consistent and it differs from the three profile groups, it
is reasonable to create another profile type, as allowed by Chapter 321. The profile will be based on the number of daylight
hours on the 15th day of each month.
ESTIMATION OF MISSING
TELEMETERED DATA
CMP
will use actual load for customers that are telemetered (400 kW and
above). However, there will be times
when the actual data is not available due to problems with remote meter reading
equipment and meter malfunctions. In
these instances, Load Vision will estimate data based on individual profiles
for the telemetered loads. The
individual profiles will be calculated using a proxy day that is selected based
on system load. Load Vision requires a
calendar definition so that only days from the appropriate season/day type are
used in selecting the proxy day. CMP
will use a calendar of 12 seasons and 7 day types for the proxy day selection. When there is not sufficient historical data
on an individual customer to use this calendar definition, CMP will use the
next most refined calendar definition based on available load data. The customer's individualized profile will
be used only when the actual data is not available. This approach allows the estimate to be
based on the customer's actual historical load, not a class profile.
ESTIMATION OF DAILY LOAD
The
daily estimation process begins by loading various types of data into Load
Vision. The data loading is an
automated process and includes system load data, weather data, telemetered load
data, load research sample data, account administration data (supplier
enrollments and drops) and billing data. Customer meters are read in cycles
throughout the month. CMP has 20
cycles; so, approximately 1/20th of all customers will have billing
data loaded into Load Vision after each billing cycle. Load research sample data is read on the
sampled customer's cycle meter reading.
Thus, load research data will be loaded into Load Vision as it becomes
available throughout the month.
Once
CMP verifies that all available data loaded correctly (using Load Vision's log
files), the next step is to calculate the daily load estimate for each
supplier. Estimating hourly loads can
be more easily understood by seeing the actual calculations Load Vision
performs. ICF Consulting, Inc.,
prepared a description of supplier hourly load calculations. The following steps are based on their
documentation, modified to reflect CMP terminology.
The
load estimation process can be broken down into four major steps:
·
Profiled
Load Estimation
·
Telemetered
Load Determination
·
Aggregation
of Hourly Loads by Supplier
·
Reconciliation
of Supplier Hourly Loads
PROFILED LOAD
DETERMINATION
Step 1. Determine an hourly
profiled load for each customer profile class. A static profile will be used for each of the three profile
classes defined in Chapter 321 and a deemed profile will be used for unmetered
load.
Step 2. Scale the profiled load by the relevant Loss
Factor. The loss factor is assigned to the customer
depending on the season and voltage level.
Loss-adjusted Profile Load = Profile Load x Loss
Factor
for customer i for customer i for customer i
by hour h by profile class by loss class s
by hour h
Step 3. Determine each customer's Usage Factor. The Usage Factor (UF) characterizes how the customer's usage
relates to the average usage for their profile class. It is defined as the ratio of the metered usage to the aggregate
hourly profiled loads for the customer's profile class for a billing
period. If a new customer has no
historic or billed usage, an hourly Usage Factor of 1.0 will be assigned to
that customer.
Usage
Factor = Metered Usage for Billing Period i
Profile
Load for Billing period i,p
for customer i where Profile Load for Billing Period is the sum of
by profile class p hourly profile loads for the billing period by profile
class p assigned to customer i
Step 4. Derive the usage-adjusted profile load for
each customer. The usage-adjusted profile is the
loss-adjusted profile from Step 2 multiplied by the customer Usage Factor from
Step 3.
Usage-Adjusted
Profile Load = Loss-Adjusted Profile Load x Usage
Factor
for customer i for customer i for customer i
by hour h by profile class p by profile class p
and hour h
TELEMETERED
LOAD DETERMINATION
For
a telemetered customer, if interval meter data is available for the day being
estimated, the hourly load is the metered usage multiplied by the customer's
Loss Factor. The Loss Factor assigned
to the customer depends on the season and voltage level.
Hourly Telemetered Load = Metered Hourly Usage x Loss
Factor
for customer i for customer i for customer i
by hour h by hour h by loss class
If
a telemetered customer's interval data is not available for the day being
estimated, the missing data will be estimated using the customer's historical
usage and a proxy day profile. The
hourly loads using the proxy day profile will be calculated using the method
for profiled load detailed above.
AGGREGATION OF
HOURLY LOADS BY SUPPLIER
This
step aggregates customer hourly loads created in the previous procedures into
total loads for each supplier.
Supplier Hourly Load = Sum
(Hourly Telemetered Load) + Sum
(Hourly Profiled Load)
for Supplier S i for customer i i for customer i
for hour h assigned
to Supplier S assigned
to Supplier S
by
hour h by
hour h
RECONCILIATION
OF SUPPLIER HOURLY LOADS
The
reconciliation process is conducted in five steps:
·
Determine
the difference between the known metered system load and total estimated hourly
load
·
Determine
each Supplier's total profile load
·
Calculate
each Supplier's profile Load Allocation Ratio
·
Allocate
the Difference to the supplier's non-telemetered customers using the Load
Allocation Ratio, thereby deriving each Supplier's reconciled profile load
·
Calculate
the Supplier's Hourly Load Obligation as the sum of each supplier's reconciled
profile load and telemetered load.
Step 1. Determine the Hourly Load Difference using
the hourly system load as the baseline.
Hourly Load Difference = Actual Hourly System Load - Estimated
Hourly Load
by hour h for hour h for hour h
Note:
The Estimated Hourly Load is the sum of all Supplier Hourly Loads
calculated earlier
Step 2. Determine the Supplier
profile load. Allocating the Hourly Load Difference to
profiled customers only requires that all telemetered loads for a Supplier be
subtracted from that Supplier's total hourly load. The resulting value is the Supplier's hourly profile load.
Supplier Hourly Profile Load = Supplier Hourly Load - Total Hourly Telemetered
Load
for Supplier S for Supplier S for Supplier S
for hour h by hour h by hour h
Step 3. Calculate the Load Allocation Ratio. The Hourly Load Difference from Step 1 is allocated to a Supplier
based on the ratio of the Supplier's profile load to the aggregate profile load
of all Suppliers.
Load Allocation Ratio = Supplier Hourly Profile Load / Sum (Total Hourly Profile Load)
for Supplier S for
Supplier S S for Supplier S
for hour h by
hour h by
hour h
Step 4. Allocate the Hourly Load Difference to the
Supplier's non-telemetered customers. This
reconciliation step distributes the Hourly Load Difference back to the
non-telemetered customers using the Load Allocation Ratio. The allocated amount is the product of the
Hourly Load Difference and the Load Allocation Ratio. This allocation amount is added to the Supplier's hourly profile
load from Step 2 to derive the Reconciled Profile Load.
Reconciled
Profile Load =
for
Supplier S
for
hour h
Supplier Hourly Profile Load + (Hourly Load Difference x Load Allocation Ratio)
for Supplier S for
Supplier S for
Supplier S
for hour h for
hour h for
hour h
Step 5. Calculate the Supplier Hourly Load
Obligation. The Supplier Hourly Load Obligation is the
sum of the Supplier's hourly telemetered load and the reconciled profile load
from Step 4.
Supplier
Hourly Load Obligation =
for
Supplier S
for
hour h
Supplier Hourly
Telemetered Load + Reconciled Profile Load
for
Supplier S for
Supplier S
for
hour h for
hour h
MONTH-END ADJUSTMENTS
After
all meter readings for each month have been obtained, CMP will re-estimate the
hourly load for the month. The process
will be identical to the daily process but the month-end calculation will use
available data collected subsequent to the original calculation. The usage factors will be recalculated to
reflect each customer's most recent billing periods usage. This usage will better reflect usage during the month being
re-estimated. The calculations for the
month-end adjustment are the same as described in the daily process: total profiled load with losses is added to
total telemetered load with losses and compared to total system load. Any hourly differences are allocated back to
suppliers based on their proportion of the total profiled load.
The
total month-end energy will also be adjusted to reflect Net Energy Billing
customers. Excess generation (or
negative usage) cannot be reported in the daily load settlement process but it
is possible to adjust the month end numbers to reflect excess generation by net
energy billing customers. The
adjustment would reduce the supplier's load obligation by the amount of the
excess generation and would proportionately increase the load obligation of all
other suppliers. The result is that the
excess generation will be used to reduce supplier load obligation at ISO-NE in
the month the excess occurs.
Historically, the average monthly excess generation from Net Energy Billing
customers has been less than 0.02% of average monthly energy.
REPORTING
Daily
estimates of supplier load obligation will be reported to ISO-NE within 37
hours after the end of the day being reported.
The load obligation will be reported by Load Asset ID. CMP will send suppliers their load
obligation at the same time it is sent to ISO-NE. Month end numbers will be reported to ISO-NE within 90 days after
the end of the month. Month-end numbers will be the revised total energy for
the month, reported by Load Asset ID.
CMP will send suppliers their hourly loads that comprise this new
estimate within 2 days after reporting to ISO-NE.
SUMMARY
In
summary, CMP will use a static profiling methodology for the three profile
groups defined in Chapter 321. The
profile will represent 12 seasons and 2 day types (weekday and weekend). Holidays will be estimated using a weekend
profile. Unmetered load will be
estimated using a deemed profile that is determined by the number of daylight
hours on the 15th day of each month. Telemetered customers will be settled using their actual
load. If the actual data is not
available, a proxy day profile for the individual customer will be used. The proxy day will be selected using system
load as the determining factor and the calendar representation will be 12
seasons, 7 day types.
STATIC
PROFILING METHODOLOGY
The rank average method Load Vision uses to create
typical day or static profiles improves on traditional static profiling methods
by preserving the levels of the peaks and valleys in the final load shape. The rank average approach involves various
steps that are detailed below. The following is paraphrased from
documentation on Load Vision The example is based on one provided by ICF
Consulting, Inc. but modified to reflect CMPs calendar definition and
terminology. The example is for
illustrative purposes only.
Step 1: Group
Load Research sample meter data based on season and day-type combination.
The load data will be grouped into 12 seasons
and 2 day types for each profile group.
Holidays will be put into the weekend bin.
Example:
12
Season/2 Day-Type Calendar
|
Season
1 (January) |
Season
7 (July) |
|
Season
2 (February) |
Season
8 (August) |
|
Season
3 (March) |
Season
9 (September) |
|
Season
4 (April) |
Season
10 (October) |
|
Season
5 (May) |
Season
11 (November) |
|
Season
6 (June) |
Season
12 (December) |
Day
Type 1 (Weekday): Mon, Tue, Wed, Thurs, Fri
Day
Type 2 (Weekend): Sat, Sun, Holiday
Step 2: Create a weighted
average of all observations for the profile for each day.
Example:
Weights
must be assigned by the user in Load Vision:
|
Profile |
Load
Research Meter |
Weight |
|
Residential |
R123 |
1 |
|
Residential |
R456 |
1 |
|
Residential |
R789 |
1 |
(Note:
actual weights will reflect weights assigned to each meter in the sampling process)
Illustrative
Observations from the meter:
|
Load
Research Meter |
Day |
Hour1 |
Hour2 |
Hour3 |
Hour4 |
|
|
R123 |
12/1/98 |
30 |
50 |
40 |
60 |
|
|
R456 |
12/1/98 |
35 |
55 |
45 |
65 |
|
|
R789 |
12/1/98 |
40 |
60 |
50 |
70 |
|
Result:
|
Profile |
Day |
Hour1 |
Hour2 |
Hour3 |
Hour4 |
|
|
Residential |
12/1/98 |
35 |
55 |
45 |
65 |
|
|
Residential |
12/2/98 |
60 |
70 |
50 |
55 |
|
|
Residential |
12/3/98 |
55 |
70 |
55 |
60 |
|
|
Residential |
12/4/98 |
32 |
60 |
45 |
50 |
|
Step 3: Average the load
values to create an Average Load Shape
Example:
Season
12, Day-Type 1
|
Profile |
Day |
Hour1 |
Hour2 |
Hour3 |
Hour4 |
|
|
Residential |
12/1/98 |
35 |
55 |
45 |
65 |