Allocating unaccounted for energy ufe in miso
Download
1 / 26

Allocating Unaccounted for Energy (UFE) in MISO - PowerPoint PPT Presentation


  • 93 Views
  • Uploaded on

Allocating Unaccounted for Energy (UFE) in MISO. Shawn Fountain Vice President. Presentation overview. Overview of MISO market What is UFE Common UFE allocation methods Financial Impact. All numbers in this presentation are for illustration purposes only. Process Inbound Reads.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Allocating Unaccounted for Energy (UFE) in MISO' - tashya-mckay


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

Presentation overview
Presentation overview

  • Overview of MISO market

  • What is UFE

  • Common UFE allocation methods

  • Financial Impact

All numbers in this presentation are for illustration purposes only


Main processes by functional area

Process Inbound Reads

Determine Samples

Create Profiles Dynamically

Report Missing Required Data

Create Profiles

Estimate Usage Dynamically

Validate Reads

Validate for Profiling Process

Estimate Usage Dynamically

Estimate Usage

Estimate Usage

Estimate Reads

Apply Profiles

Apply Profiles

Perform Analyses

Edit Reads

Calculate Determinants

Aggregate

Apply Profiles

Create Profiles

Apply Profiles

Report Missing Reads

Send Data to Market

Prepare Bills

Receive Data from Market

Reconcile Data

Main processes by functional area

Load Research

MDM

Settlement

Billing

Estimate Reads

Create Profiles


Miso mdm market participants
MISO “MDM” Market Participants

  • Meter Data Management Agent (MDMA) ─ An entity designated by a Market Participant to manage and conduct the metering services on the Market Participant’s behalf

  • Billing Agent ─ An entity designated by a Market Participant to manage and conduct the settlement and billing services on the Market Participant’s behalf


Miso commercial model
MISO Commercial Model

  • A representation of relationships between Market Participants and their Resources, Commercial Pricing Nodes, and transactions

  • Derived from the Transmission Network Model


Entities in the commercial model
Entities in the Commercial Model

  • ENode (Electrical Node) ─ Physical point of injection or withdrawal in the network model

  • EPNode (Elemental Pricing Node) ─ An ENode for which a price is calculated

    • Lowest level of granularity of the LMP calculation and the lowest level represented in the Commercial Model

    • EPNodes and their LMPs are not published

  • CPNode (Commercial Pricing Node) ─ An aggregate price for a collection of EPNodes

    • All settlements occur at the CPNode level



Miso settlement runs
MISO settlement runs

  • Settlement 7 (S7) ─ 7 days after Op Day

  • Settlement 14 (S14) ─ 14 days after Op Day

  • Settlement 55 (S55) ─ 55 days after Op Day

  • Settlement 105 (S105) ─ 105 days after Op Day


What is ufe
What is UFE?

  • The difference between aggregated metered load adjusted for distribution losses AND the net energy delivered (generation, imports and exports) adjusted for transmission losses

  • Sources of UFE include metering errors, invalid profiles, loss errors, unreported load or generation, etc.

  • UFE is also referred to as residual load


Miso calculation for balancing area ufe
MISO calculation for Balancing Area UFE

(BA_BLL_MTR + NAIBA + BA_LOSS ) * (-1)

Where

  • BA_BLL_MTR = Sum of all asset Commercial Node meter data within the given Balancing Authority Area. Injections are represented by negative values and load by positive values

  • NAIBA = The Net Actual Interchange. A positive value represents energy flowing out of the area while a negative value represents energy flowing into the area

  • BA_LOSS = The transmission losses for the given Balancing Authority Area. Losses are positive values


Miso rules for ufe allocation
MISO rules for UFE allocation

  • MISO recommends “that Balancing Authorities be responsible for allocating UFE to all load serving entities on a Balancing Authority Area load ratio share or other fair and equitable allocation methodology”

  • UFE may be allocated to each Retail CP Node using a load ratio share methodology

  • There is no single approach to allocating UFE


Assigning ufe to load owners
Assigning UFE to load owners

  • MISO performs this calculation and allocates all of the UFE to a Residual Load Owner

  • For Market Participants submitting load to MISO, it may be beneficial to calculate and allocate UFE prior to data submittal

  • If actual reads are adjusted to account for UFE prior to submittal to MISO, the MISO UFE calculation should yield little to no UFE


Scalar and interval meters
Scalar and interval meters

  • Scalar meters are cumulative meters generally read once per month

  • If interval meters are working properly, interval meters will have negligible impact on UFE

  • Scalar usage is profiled to determine the necessary interval values using a process called profile application

  • Most of deviation resulting in UFE is thought to be due to profile application of scalar usage


Definitions slide 1
Definitions (slide 1)

  • Profile Creation ─The creation of shape and volume profiles generally via sample interval meters

  • Profile Application ─Applying the shape from a profile to scalar usage to convert the scalar usage to interval data

  • Usage Estimation ─ The estimating of scalar usage for scalar meters, or interval usage for interval meters, when no actuals exist for a given time period and that period is prior to the system date and time


Definitions slide 2
Definitions (slide 2)

  • Usage Forecasting ─The forecasting of usage for a time period that is after the system date and time

  • Dynamic Profile Creation ─ Using historic data in a modeling process like regression to directly produce an interval estimate for a scalar meter for the settlement period

    • Dynamic Profile Creation generally takes a profile from the Profile Creation process as an input


Profiling techniques are dependent on the available data
Profiling techniques are dependent on the available data

  • Actual readings available for settlement day

  • No readings for settlement day, but historical readings are available

  • No readings for any period (e.g. new construction)


Nine main data states for profiling
Nine main data states for profiling

Profile Data State

There are many more possible data states, e.g., a read or profile exists for part of the settlement period

Read Data State


Illustration of primary calculation approach for scenario 1

Feb

Mar

Meter Reads

System Date

Existing Profile

X

Settlement Period

Illustration of primary calculation approach for Scenario 1

For each interval in the settlement period, (profile value for interval / total profile for the start and stop of the meter read) * the meter read consumption value


Estimating meter consumption
Estimating meter consumption

  • Regression ─ Regression against one or more independent variables

  • Proxy Day ─ Historical usage from the most like day in history based on the shape, volume, day type and/or other attributes; typically used when regression not viable

  • Like Day ─ The avg of historical usage for like days (e.g. day type and season); more commonly used for forecasting


Reasons for profile application error
Reasons for profile application error

  • Profile shape is not accurate for a given day and/or for hours across that day

  • Usage may have to be estimated and the estimate will almost always never be 100%

    • Arguably not profile application error but usage estimation error compounds profile accuracy error


Allocating ufe to all meters by lrs
Allocating UFE to all meters by LRS

  • MDMAs can generally estimate the UFE % within a tight tolerance

  • The simplest approach is spreading UFE across all scalar and interval meters


Allocating ufe only to scalar meters
Allocating UFE only to scalar meters

  • It is generally accepted that most UFE is the result of inaccuracies from profile application

  • Therefore an approach is to assign all UFE to scalar meters



Financial impact of allocating ufe via these two different approaches
Financial impact of allocating UFE via these two different approaches

  • Assuming 68,000 meters with avg 50 kW peak demand and avg 60% load factor

  • Assuming average LMP = $60/MWh

  • Multiplying by 8760 hours


Wrap up
Wrap-up approaches

  • MISO allows Market Participants to allocate UFE in different ways

  • Market Participants can adjust their meter reads by the estimated UFE and provide those adjusted values to MISO

  • A common approach for allocating UFE is to allocate all UFE to scalar meters based on load ratio share


Contact the organizers

For any additional information, please do not hesitate to contact the organizers

Contact the organizers

Devi Paulsen

Spintelligent Phone: 888 559 8017 (US)[email protected]

www.american-utility-week.com


ad