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ProsumerGrid, Inc. 2018 ©

Software for Simulation, Planning, & Optimal Coordination of Distributed Energy Resources

ProsumerGrid™

NRECA TechAdvantage

Next Generation DistributionJohn Higley, Vice President

March 11, 2019

About Us

An electric utility focused software development and consulting firm, based in Atlanta, with origins at the Georgia Institute of Technology.

Developing and Commercializing innovative Software for Simulation, Planning, & Optimal Coordination of Distributed Energy Resources.

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Leading multidisciplinary team in the areas of:

• Power Systems Modeling and Operations

• Network Control Systems

• Stochastic Optimization

• Visualization

• Integration of Renewables

• Power System Economics

© 2019 ProsumerGrid, Inc., All Rights Reserved

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Our History

2011-2014

Background research on Power Systems, Electricity Markets, Decentralized Grid

Optimization

Spring 2014

DOE ACC Clean

Energy Challenge

Winner

Fall 2014 I-Corps

100interviews to validate our

value proposition

May. 2015

Multi-Scale

Power Systems Project

June, 2016

ARPA-e Grant

DER/DSO Simulator

October 2017

Demonstrating our solutions

with utility data

+15 Electric Utility & Coops

Partners

3© 2019 ProsumerGrid, Inc., All Rights Reserved

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Our Founding Team

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A multidisciplinary team

Santiago Grijalva, PhD (CEO)Future Electricity Grids•20+ years of industry experience• ECE Professor, Georgia Tech• Former Center Director NREL•Contributed to PowerWorld

Shabbir Ahmed, PhD (VP R&D)Stochastic Optimization• ISyE Professor, Georgia Tech• Former Chair of Stochastic Prog.

Magnus Egerstedt, PhD Networked Control• ECE Professor, Georgia Tech• Expert on distributed controls

John Higley (CFO)Industry Engagement•Retired Managing Partner for D l itt ’ Gl bal En rgy & Utiliti • Former SVP at EMA•Contributed to PROMOD

Umer Tariq, PhD (Software Arch.)Cyber-Physical Systems•PhD ECE, Georgia Tech•Federated Co-simulation

Marcelo Sandoval, MSc, MBA (COO)Power System Planning, Ops. & Control• Former Electrical Engineer at ABB,

Intel, Eaton Grid Tie Solar Team.• ECE PhD Candidate


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The Challenge

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• The electric grid is transforming into a more sustainable and customer-oriented model where Distributed Energy Resources (DERs) arebecoming the center of electric grid planning and operations.

• Investment decisions involving $1.5 trillion in the U.S. 2010-2030.*

• Electric utilities require better software tools to simulate, plan, and coordinate the operation of large numbers of intermittent DERs.

Solar PV Distributed Energy Storage

Demand Response

Electric VehiclesDistributedGenerators

5“Tran f r ing A rica’ w r Ind try: Th Inv t nt Chall ng 2010 – 2030”

The Brattle Group (Brattle) for The Edison Foundation (EEI)© 2019 ProsumerGrid, Inc., All Rights Reserved

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Our SolutionA software platform that allows electric utilities to simulate, plan,

and optimally coordinate thousands of distributed energy resources (DERs)

© 2019 ProsumerGrid, Inc., All Rights Reserved 6IMULATION OF GRID PHYSICS, DER & MARKET CONSTRAINTS,

ELECTRIC UTILITY

SOLAR POWER

DISTRIBUTED ENERGY STORAGE

DEMAND RESPONSE

ELECTRIC VEHICLES

ELECTRICITY

USERS

ELECTRIC GRIDPOWER PLANTS

WIND & SOLAR POWER PLANT

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The Unique Approach



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• Integrated simulations of complex transmission and distribution systems with DERs.

• Integrated layered approach that captures system physics, control options, system-level coordination, market operations, and financial considerations.

• Groundbreaking optimization algorithms that support massively-scalable optimization of millions of resources, while observing all the physical limits of the grid as well as resource and market constraints.

• Interactive, web-based visualization that provides a user-fri ndly y t “d ign t di ” nvir n nt f r d ci i n makers.

• Support for testing of various grid architectures with different information flow schemes, market designs, and policy decisions.

Planning Studio Work Flow



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1. Import Grid Model

2. Visualize, and Generate DER Scenarios

3. Select Analysis Type and Configure

Model

4. Run DER-Integrated Grid

Analysis

5. Visualize and Analyze Results

Core Modules



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Data Management and Translation Module

Web-Based Visualization Module

Allows the user to import, convert, and integrate network models with millions of DERs from various relevant formats such as CYMDIST, GridLAB-D, OpenDSS, Milsoft Windmil (NRECA’ OMF C nv r i n T l), w rW rld, SS/E, and GIS databases.

Supports exploration and editing of DER-bases T&D power system scenarios through geo-referenced as well as tabular views. It depicts line loadings, generation locations, load locations and all distribution generation resources.

Analysis Modules



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1) Distribution Powerflow Module2) Integrated T&D Powerflow Module3) Optimal DER Scheduling Module4) DER Project Assessment Module5) Optimal DER Portfolio Design Module6) Multi-Agent DSO Market Simulation

Module

Analysis Modules

1111)© 2019 ProsumerGrid, Inc., All Rights Reserved

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1) Distribution Powerflow ModuleThis module allows the user to conduct time-series powerflow (three-phase, unbalanced) of distribution feeders, populated with various types of DERs and advanced smart controllers such as smart inverters for voltage regulation and volt/VAR dispatch.

Analysis Modules

1212“© 2019 ProsumerGrid, Inc., All Rights Reserved

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2) Integrated T&D Powerflow Module

This module allows the user to conduct time-series, integrated (interconnected) transmission and distribution powerflows for a transmission system and a set of distribution feeders and it supports analysis of sub-transmission loop flows and the duck-curve phenomenon.

Analysis Modules



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3) Optimal DER Scheduling Module

This module allows the user to determine the optimal schedule of operations for DERs (such as charging/discharging of storage, PV curtailment, demand response, and generation dispatch) on a system during a 24-hour period. This analysis modules takes into account the wholesale price, load forecast and PV forecast while suggesting the optimal schedule of DER operations. Sample use Cases include: DERs Managed to Minimize Operational Costs: This Use Case simulates how optimal management of DERs can be used to minimize operational costs. DERs Managed to Shape Feeder Load: This Use Case simulates how optimal management of DERs can be used to shift peak load to improve the load shape. Optimization of DERs & Utility Controlled Distributed Energy Storage: This Use Case simulates the optimal management of Utility Controlled Energy Storage Systems (UCESS) deployed on the distribution grid

Analysis Modules



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4) DER Project Assessment Module

This module conducts an assessment of the avoided costs and adequacy of proposed DER projects as non-wires alternatives (NWA) to traditional capital investments made by an electric utility. It uses a stochastic optimization model to create an optimal utility DER portfolio from the optimal combination of DER projects proposed. It simulates the effects of the aggregated combination of DER proposals to provide ISO and DSO services.

Analysis Modules



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5) Optimal DER Portfolio Design Module

This module allows the user to determine the optimal combination of a set of DER options (DER type, capacity and location) for a grid subsystem (with both transmission and distribution components) by taking into account the costs associated with various DER pti n , availabl DER rvic n tizati n pti n , and a tility’ long-term planning criteria. Sample Use Cases include: Optimal Sizing and Sighting of Distributed Energy Storage and Solar PV: This use case determines the least-cost optimal combination (type, capacity, and location) of distributed energy storage and solar PV that minimizes investment costs and expected operational costs.

Analysis Modules



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6) Multi-Agent DSO Market Simulation ModuleThis module allows the user to simulate the operation of emerging multi-agent, DER-based Distribution System Operators (DSO) at the physical, informational, and market (locational price) levels. This simulation capability allows the user to compare and evaluate various proposed DSO rules and configurations.

Demo

© 2019 ProsumerGrid, Inc., All Rights Reserved 17

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Capabilities: Long-Term Planning Analyses

© 20179ProsumerGrid, Inc., All Rights Reserved 18

INTEGRATED T&D+DER

SIMULATION

DER LOCATIONAL

VALUE & NWA ANALYSIS

DER HOSTING

CAPACITY ANALYSIS

HOW MANY DERS CAN BE

INSTALLED ON A DISTRIBUTION

CIRCUIT?

CAN DERS HELP TO AVOID

EXPENSIVE CAPITAL INVESTMENTS?WHAT ARE THE INTEGRATED T&D

IMPACTS?

Capabilities: Operational Planning Analyses

© 2017 ProsumerGrid, Inc., All Rights Reserved 19

DESIGN OF DER-BASED

DISTRIBUTION SERVICES, PRICES & INCENTIVES

AGGREGATION OF DER CAPABILITIES FOR

TRANSMISSION SYSTEM

OPTIMAL DISPATCH OF

DER-BASED

DISTRIBUTION SERVICESHOW TO OPTIMALLY COORDINATE

DERS?HOW TO AGGREGATE DER

SERVICES FOR THE TRANSMISSION

SYSTEM?

HOW TO DESIGN DISTRIBUTION LEVEL

MARKETS, SERVICES, AND

INCENTIVES?

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• Geo-Referenced, Interactive Visualization

• Simulation of multi-agent interactions: microgrids, aggregators, DSO/DSP, ISO.

• Decentralized energy scheduling of DER-rich systems of arbitrary size.

• Explicit modeling for transaction of DER-based energy services (timescales can go from seconds to years).

• Analytics for valuation of DER services and utility business models.

3D Visualization Concept

Unique Features


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• Integrated (combined and simultaneous effect) of various DER

• Consideration of physical, market, DER & T&D constraints.

• Economic optimization of DER operation

• Locational and temporal specificity (multi-years at 1 hour granularity at specific feeder location)

DER Locational Value & NWA Analysis Tool


• Enables to model, assess and potentially recommend DERs as non-wire alternatives to distribution upgrades

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• Decision variables examples:– energy storage

(charge_discharge),

– solar PV curtailment,

– demand response,

– generator output.

• Sample analysis of DERs: – Quantifying benefits & impacts of

PV & energy storage for distribution capacity investment deferral, peak demand reduction, transmission services aggregation

– Optimal placement and sizing of DERs

DER Optimal Dispatch Simulation


• Advanced Decentralized-Stochastic Optimization determines the minimum-cost schedule of energy operations of a set of DERs

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• Visualization of marginal prices for energy derived from the optimization formulation.

DER Services Pricing or Incentive Signal Design


• The pricing module uses the optimization module to determine the locational and time-vector marginal prices.

Capabilities Summary

• Web Based Visualization– 2D edit view, 2D map, 3D map

– Interactive, user friendly

• Data Management &

Power Flow Simulation– Able to read system models in

many industry-used formats (CYMDIST, MILSOFT, OpenDSS, GridLAB-D)

– Able to setup T&D time-series simulation (GridLAB-D, MATPOWER)

– Able to set up DER optimization studies and conduct energy scheduling related analysis.


• Analysis

– Integrated T&D DER Analysis • Time-series, Multi-DER

Impact Analysis

– DER Non-Wire Alternative Assessment • DER Optimization for NWA

Evaluation

• DER Portfolio Assessment and Valuation

– DER Hosting Capacity

– DER Coordination through Portfolio Optimization

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Thanks

CONTACT US

[email protected]

Learn more: www.prosumergrid.com


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