CVR/VVO M&V Task Force

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Oct. 2020

OutlineI. Introductions

II. Background

III. Scope❖ Mission Statement

❖ Key Topics

❖ Study Objectives

❖ Expectations/Outcome

❖ Roles and Responsibilities

❖ Timeline

IV. Study Topics❖ Data

❖ Methodology

V. Next Steps

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Background

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• During the September VVWG meeting, the team presented the necessity of establishing an IEEE M&V Standard by sharing an overview of data related anomalies and a comparative study of three conventional methodologies

– The study compared three different methodologies – comparison-based, linear regression and deemed CVR factor

o For the same feeder, the three methodologies led to different savings

– The team also discussed the impact of data assessment on saving’s evaluation

• The conclusion was to form a Task Force to study the need for a recommended practice or a standard on M&V.

• An eBallot for approval to form a Task Force was sent out to the VV WG on Sept. 9th, with the final decision to kick-off the Task Force made on Sept. 21st.

Scope

Initial Mission Statement

Investigate the data scenarios and M&V approaches across utilities in order to validate the need for an IEEE CVR/VVO M&V Standard or Recommended Practice

Key Topics to be Studied

• Data Scenarios and Quality

• Methodology Selection

• Others

Study Objective

• Create a benchmark on data scenarios

• Create a comparative study based on different utilities data

• Create a supporting document on the need for a recommended practice or standard on M&V

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Expectations/Outcome

• Draft Project Authorization Form, supported by a study report

o A PAR is the means by which standards projects are started within the IEEE Standards Association (SA)

o PARs define the scope, purpose, and contact points for the new project

o https://standards.ieee.org/about/sasb/nescom/conv.html

• Available information concerning intellectual property, as appropriate

o Participants are solely responsible for determining whether disclosure of any Contributions that they submit to IEEE requires the prior consent of other parties and, if so, to obtain it

• Draft project schedule

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Scope

Roles and ResponsibilitiesChair and Co-Chair:• Ensure due process is followed and the task force fulfils its purpose

• Schedule the work of the task force in order to complete work within the established time frame

Secretary:• Maintaining a roster of Study Group participants

• Establishing an email list for conduct of email discussions

• Keeping and distributing records of meetings

All Participants:• Contribute to the meeting and study report in accordance with IEEE Code of Ethics

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Scope

Scope

Timeline

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September 15,

2020

October 1,

2020

October 15,

2020

November 1,

2020

November 15,

2020

December 1,

2020

December 15,

2020

Januray 01,

2021

Januray 15,

2021

March 31, 2021

Survey

Finalize Survey

Send out Survey

Compile and Analyze

Responses

Study

Group

First Task Force Meeting

Task Force Efforts

Progress Report

Complete Study

Data

• What data sources should be taken?

• What resolution should the data be taken at?

• Proper data cleansing and reconstruction are required before utilizing them in the model/methodology

o What data anomalies should be cleaned and how?

o ComEd presented the following list:

▪ Interpolated

▪ Repetitive

▪ Outliers

▪ Non-numeric/Missing

▪ Load shifting/switching

o Any utility wants to add anything else in the above list?

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Data (Continued..)

• How will the data be cleaned? o How should the outliers be cleaned?

o How should the interpolation/repetitive values be cleaned?

o How should the irregular cycling be determined and cleaned?

• How should data adequacy be measured? o How much data is required for CVR factor estimation?

o How do we reconstruct the eliminated data?

▪ This may be required for annualization or savings calculation for certain period

o Others?

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Methodology

• What methodology(ies) should be studied?

– Comparison (i.e., comparing a circuit with CVR with another similar circuit without CVR)

– Comparison (i.e., comparing the same circuit with on and off days considering impacts of different factors such as season, temperature, time of the day, on/off status, etc.)

– Regression (i.e., establishing the analytical relationship among load, voltage, temperature, season, type of the day, time of the day etc. through statistical analysis)

– Simulation (i.e., simulating the same circuit with and without CVR to estimate the benefits)

• What variable(s) need to be included in the algorithm?

• Are the methodologies used only for CVR factor calculation?

– Is the CVR factor calculated system-wide or feeder by feeder?

• Define pros/cons? What are different utilities doing?

– Should the seasonal CVR factor be considered?

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Methodology(Continued..)

• How should the savings be calculated?

– Are the savings calculated using the baseline consumption multiplied by the % of voltage reduction and the CVR factor? Or the savings is calculated from the comparison of power consumption?

– How do we define if a CVR factor is valid?

– How will the savings of a feeder be calculated if feeder by feeder calculation is opted and CVR factor was invalid?

– What approaches should be taken to extrapolate the CVR factor for invalid feeders?

• Should the line-losses be considered while taking the feeder-head data for analysis?

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Proposed Study Design Steps

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In a nutshell, the followings steps may need to be taken to complete the study. Some of these steps may need to be taken on the utility and some steps need group collaboration.

• Step 1: Define data requirement and design the template

• Step 2: List the data sources for each study utility willing to participate in the study

• Step 3: Select the feeder types based on different factors(i.e., RCI mix) and # of feeders

• Step 4: Acquire data in different resolution

• Step 5: Define the scenarios based on the data availability, feeder type, resolution etc.

• Step 6: List data quality items and define the cleaning process

• Step 7: Methodology selection and modify, if required

• Step 8: Develop scripts to exhibit listed data quality statistics and run on the selected methodology

• Step 9: Run each methodology based on the defined scenarios and compare the results

Open Questions

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• How should the study be conducted?– Should the utility run the script individually and report the results?

• Need any other support to define the methodologies?

Next Steps

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• Create a feedback loop for collaboration

• Identify utilities who want to participate in the study

• Collectively define the tasks to conduct the study

• Call for volunteers to help based on the tasks