1. NIST Transactive Energy Challenge Modeling and Simulation for the Transactive Smart Grid Phase II Launch Webinar
April 20, 2017

2. To change this title, go to Notes Master
5/8/2018
Webinar Logistics
GotoMeeting – 100 participant capacity
PLEASE Mute yourself
If background noise, you may be muted by organizer.
Chat window: Please use for comments and questions.
We will pause periodically to address questions.
Webinar slides will be made available on the NIST TE Challenge website
Good afternoon everyone, and welcome to today's webinar, the NIST TE Challenge Phase II Launch. Before we get started, I’d like to go over a few items so you know how to participate in today’s event.

3. Webinar Agenda Welcome to the Challenge (Avi Gopstein, NIST)
TE Challenge overview (David Holmberg, NIST)
TE Challenge TE Co-simulation Abstract Component Model (Marty Burns, NIST)
TE Challenge Scenario (Jason Fuller, PNNL)
Team simulation plans (Team Leads: PNNL, MIT, TCS)
How to participate (David Holmberg, NIST)
Open discussion

4. Avi Gopstein Welcome
NIST Smart Grid and Cyber-Physical System Program Manager

5. TE Challenge Overview David Holmberg
TE Challenge Lead, Engineering Laboratory NIST Smart Grid Program

6. TE Challenge Goals
Perform TE simulations using collaboratively developed TE scenario.
Develop simulation-platform-agnostic common understandings and interoperable TE modeling approaches to enable community collaboration.
Build up the TE community to advance TE implementations.
Provide visibility for different co-simulation platforms and understanding of strengths for each.
Review of our goals for the TE Challenge.
 Deliver value to utilities, regulators, policy makers and other stakeholders in understanding, testing, and applying TE to meet today’s grid challenges.

7. Timeline
September 2015: Launch of Phase I and formation of Phase I teams
Summer 2016: Completion of Phase I team efforts, development of Co-simulation platform model
Fall 2016: Outreach meetings in NY City and San Jose, CA.
April 20, 2017 TE Simulation Challenge Phase II Launch.
May-July Series of web meetings for Challenge Scenario process
June 14, 2017 Face to face meeting and Scenario Workshop at the GWAC TE Systems Conference in Portland, OR.
January 2018 TE Challenge Capstone Meeting to share simulation results.
Collaboration site: gives access to the latest documents

8. Phase I Foundational Efforts
Two teams focused on elements to enable effective TE co-simulation.
Reference Grid and Scenarios team worked to develop a set of use cases that describe the range of TE applications
Co-simulation Platform Model team worked to develop a Common Abstract Model and Beta Use Case
Other teams working on implementation
Business and Regulatory Models team looking at what is being done or considered today in CA, NY and elsewhere. Published first paper on TE business models.
Common Transactive Services (CTS) team examined and published paper on a minimal set of TE services based on standard Energy Interoperation
Transactive ADR team investigated adding these transactive services to the industry standard OpenADR
Two TE implementations teams: Microgrids and Virtual PowerMatcher demo
The Microgrid Demo team wasn’t able to complete the planned MG demo, but the TCS simulation work is continuing into Phase II. Also, the Virtual PM team continues under the Global City Team Challenge.

9. TE Application Scenarios
TE use case narratives that cover the landscape of TE applications—how we think TE can support grid operations.
6 use cases:
Peak-day DR
Wind energy balancing reserves
Voltage control for high-penetration distribution circuits
Concentrated EVs
Islanded microgrid energy balancing
System constraint resulting in
mandatory curtailment
The paper (now SGIP white paper) discusses the transactive process, business functions, actors, and time scales.

10. TE Co-sim Abstract Component Model—Marty Burns
A detailed technical specification that can be faithfully implemented on one or more simulation platforms comprising:
A set of model components with specific minimum interfaces
Any interface can be extended as needed for any TE Challenge Case
Core components can be combined and hide internal interfaces
A canonical simulation that allows the set of components to be orchestrated in a simulation
Minimal or extended models can be substituted for any component(s) and can simulated by the same experiment controller
A reference grid and scenario
A defined set of grid nodes, resources, controllers, and transactive agents and market simulation to provide a baseline for comparison
A minimum core set of analytics based on the data provided through the canonical simulation

11. Notional Topology of a TE Simulation
Bulk Generator
Industrial Load
Microturbine
Storage
Industrial Customer
Grid Controller 2 3 1
Residence Load
Retail Customer
Auction
Aggregator TA
Transactive Appliance
Building/Home with Automation System
Transactive Broker - Aggregator
Distribution System Operator
Market Maker
Grid
Resource: Load
Resource: DER
Microgrid PCC
Grid Link
Key
Supervisory Controller
Grid + Controls
Manages
Local Controller
Transactive Agent
Transactive
Resources
Weather
Controllers

12. Core Modeling Components of Abstract Component Model

13. Common Platform Canonical Simulation

14. Baseline Use Case X10 for each phase Grid
30 houses divided among three phases on one distribution transformer.
The distribution system has one uncontrollable load (Resource) and one source of bulk power (Resource).
There is a weather feed of TMY3 Data for a single locale (Weather).
Each house has:
A solar panel (Resource)
A controllable load – HVAC (Resource)
A non-controllable load (Resource)
A home automation system (SupervisoryController)
A thermostat (LocalController)
A transactive agent (TransactiveAgent) AS
ABC BS CS
ABC
{Desired Setpoint,
State}
Grid
{Setpoint}
Weather
{TMY3 Data}
{Quote: Cleared Price, Marginal Quantity}
{Tender: Bid Price, Bid Quantity, State}
PV Panel (+inverter)
Dummy Grid Load
Controllable Load (HVAC)
Uncontrollable Load
Resources
Logical Connectors
Links
Nodes
Meter (triplex)
Node (triplex)
Node (three-phase)
Triplex cable
Transformer
Power Flow
Transactive Agents
Data
Thermostat
LocalController
Bidding Controller
Auction
SupervisoryController
Weather
Bulk Power

15. Traceability of Instance Model To Abstract Components
Gridlab-D source inside existing object
Gridlab-D Model Components

16. Metrics that can be Extracted by Analytics Component
Through the course of the experiment/simulation the following data can be extracted from the message exchange:
Grid power flow and voltage states
Load profile as consumed by all loads
Generation profiles as produced by all solar panels
Aggregated loads by household
Price negotiations and exchanges
Realized pricing coordinated by loads and generators

17. Challenge Scenario (Jason Fuller, PNNL)
The Challenge Scenario process will advance common TE modeling approaches and ability to compare TE modeling results
Scenario development and implementation (May-July)
Review the TE Challenge Abstract Component Model and consider how teams might take a step toward implementing some part of the model in their research
Review and agree on the Challenge Scenario narrative
Review available grid definitions that teams might use
Discuss and agree on the set of simulations teams will perform using the Scenario
Develop a set of common metrics to be used to report team simulation results
Share results of team efforts to implement the Challenge Scenario
Beyond this, teams will pursue team-specific TE co-simulation research and report results using common metrics.

18. Proposed Challenge Scenario Narrative
Electric feeder with high penetration of PV. At mid-day on sunny day, the feeder has reverse power flows and over-voltage conditions. At noon, a storm front overspreads the feeder and PV power production drops from full sun to 10% sun in a period of 10 min. This is followed by a ramp back up to full sun from 1:30 - 2:00 pm. Transactive methods are used to incentivize load, generation or storage response as needed throughout the day, and the transactive signals are localized to the feeder level to respond to voltage levels.

19. Challenge Scenario Grid Topologies
R b feeder
Semi-rural distribution feeder with 1540 homes
30% of homes have PV on roof and 33% of these homes have battery systems
Some percentage of non-responsive loads on grid and in homes.
Other grid topologies are possible to suit team requirements

20. Common Metrics Metrics will be discussed in series of meetings
Name
Type
Notes
gridPower
Power
Power provided by the Grid. Power flows at each grid node.
loadProfile
Energy
Energy consumed by each load.
generationProfile
Generation by generator.
aggregatedLoadsByHousehold
Aggregated load by household.
priceNegotiations
Tender
Sequence of all tenders.
realizeMarketPricing
Quote
Realized Market price quotes.
Metrics will be discussed in series of meetings
Large collection of metrics defined for PNNL’s TE Simulation Platform (e.g., voltage deviations outsides of ANSI, line overloads, etc.)

21. Team Participation Attend a series of web meetings in May-July.
First meeting Wed, May 10, 12:30-2:00pm ET
Teams perform simulations using Challenge Scenario and common metrics
Baseline has no TE model simulation
Then add TE model of team choice
We encourage teams to:
Use same grid topologies to promote TE model evaluations
Implement some part of the TE Challenge Abstract Component Model
Additional research: teams are encouraged to continue research beyond the Challenge Scenario actions above. This may involve studies of other scenarios and other TE models using any grid topology, according to team research goals. Teams should report results using the common metrics.

22. Team Participation plans
Pacific Northwest National Lab (PNNL)
MA Institute of Technology (MIT)
Tata Consultancy Services (TCS)

23. PNNL Participation: Transactive Energy Simulation Platform
Berkeley-New Open-Source License
Documentation:
Code, Examples:

24. TESP: Scripts and Python GUI on Linux, Windows, Mac

25. TESP: Software Agents can be in Python, C/C++ or Java
(export FNCS_BROKER="tcp://*:5571" && exec fncs_broker 3 &)
(export FNCS_CONFIG_FILE=tesp.yaml && python pytracer.py 100 pytracer.out &)
FNCS Configuration in tesp.yaml File: this one subscribes to two values

26. PNNL Participation Develop baseline challenge scenario
Provide limited GridLAB-D model support
Implement auction-based transactive system in TESP
Provide TESP to any participant who wants to use it
TESP is not staffed for external support, but some minimal support may be provided
Exercise TESP, in terms of:
Building “external” transactive agents (outside GridLAB-D)
Application of the co-simulation environment
Identifying and extracting key performance metrics

27. MIT Participation-Marija Ilic
Demonstrate use of Smart Grid in a Room Simulator (SGRS) for simulating
integration of EVs in the microgrid provided by the MIT-LL (Banshee)
integration of EVs in the microgrid provided by NIST
Illustrate the need for market signals which account for voltage/reactive power and frequency regulation in TE market
Illustrate the need for transactive broker business model which enables long-term contractual arrangements between the aggregators and TE participants; bring up the need for longer- term risk management at value.

28. Tata Consultancy Services Participation—Narayan Rajagopal
Phase 1 activities
Development of a Dynamic Microgrid Configurator (DMC) for use in real-time Dynamic Microgrid Based Operations (DMBO).
Algorithm developed to dynamically honeycomb the entire distribution service area into a number of contiguous microgrids based on real-time network conditions with the twin objectives of:
Maximizing the utilization of distributed green energy resources
Extending electric supply to the maximum number of customers under all conditions
Team’s goals for Phase – 2 are:
DMBO Co-Simulation
Implement TE Challenge Scenario
Modify base network R grid to make it suitable for DMBO application by adding DERs and Tie lines
Simulate DMBO concept
Define optimal configurations that will include minimization of cost also as one of the objectives through market simulation
This will be in addition to the resilience and DER utilization objectives presently implemented
Evaluate relevant common metrics defined for the challenge and prepare reports
Simulate Business Value of TE to through simulations
Simulate base scenario with active customer participation
Modify scenarios to simulate different levels of DER penetration
Evaluation of metrics and prepare a report

29. DMBO - Co-Simulation Steps
Prepare scenarios built on the common base case from TE Challenge scenario (GridLab-D Model)
Receive the network conditions & provide a dynamic microgrid configuration using DMC
Interfacing of DMC with other Network & Price Simulation environment
Receive microgrids information from DMC
Reconfiguration of the network scenario during network and verify the power flows
Market price simulation for the new configuration
Simulate retail market under various network scenarios and microgrid configurations
Simulate control scenarios with DER temporal variability, bump less switching between grid connected & islanded operational modes, demand response
Simulation Tools
We have used OpenDSS and GridLab-D for network simulation
Intend to use GridLab-D or MatPower for market simulation
DMC will be interfaced with network & market simulation tools for the TE Scenario

30. Approach for Co-simulation
Input Layer
Network Information and Scenario
Demand and supply sources (Solar PV, battery)
Weather Information
Process Layer
Dynamic Microgrid Configurator
Microgrid information
Network &
Price Simulation
Output Layer
Dynamic Microgrid Configurations
Market price for each configuration

31. Simulation of Business Value of TE
Demonstrate business value of TE for the TE - Challenge scenario with the following steps:
Simulate the system without TE framework
Different levels of DER penetrations (e.g., 10%, 20%, ….)
Under different weather conditions (e.g., cloudy, sunny, calm, heavy wind…)
With and without storage options
Flexible and movable loads like PHEV
Simulate under TE framework in all above cases with active participation from customers
Compare
Reliability of the system
Cost and comfort to the customers
Summarize the results

32. Collaboration with other partner organizations
Network scenarios definition
Simulation environment, interfaces
Subsystems that can be used in the co-simulation:
Price simulation model
Models of DER, Storage, Controller etc.
Results Validation

33. How to participate in the TE Challenge
Go to Collaboration Site and sign up
Participate in the Challenge Scenario development
Form a team, document research goals and plans
Implement the Challenge Scenario for validation, comparison, and collaboration.
Use common metrics for all result reporting
Join face-to-face workshop June 14 at the TE Systems Conference in Portland, OR.
Continue with TE co-simulations July-Jan.
Share final simulation results at our Phase II Capstone meeting in Jan

34. Next Step—Collaborative Scenario Development
The Challenge Scenario development (along with team building and planning for implementation work) will proceed in a series of web meetings.
Details on the meeting series and meeting goals are posted on the collaboration site Tools page
First meeting on Wed, May 10, 12:30-2:00 pm ET: team introductions, scenario review, teams, model implementation, discussion.
Prepare a slide to present with research goals, simulation tools/platform, team members, plans
Contact to get involved.

35. To change this title, go to Notes Master
5/8/2018
Q&A discussion

36. To change this title, go to Notes Master
5/8/2018
Thank you.