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

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 https://pages.nist.gov/TEChallenge/ 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.

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

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

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

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.

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: https://pages.nist.gov/TEChallenge gives access to the latest documents

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.

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.

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

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

Core Modeling Components of Abstract Component Model

Common Platform Canonical Simulation

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

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

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

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.

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.

Challenge Scenario Grid Topologies R1-12.47-1b 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

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.)

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.

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

PNNL Participation: Transactive Energy Simulation Platform Berkeley-New Open-Source License Documentation: http://tesp.readthedocs.io Code, Examples: https://github.com/pnnl/tesp

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

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

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

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.

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 R1-12.47-1 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

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

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

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

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

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

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 david.holmberg@nist.gov, to get involved.

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