Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Concordville Microgrid, presented by Eric Stein, Travis White, George Sey, PECO, Baltimore, MD, August 29-31, 2016.

1. EPRI-Sandia Symposium on
Secure and Resilient
Microgrids
August 30, 2016

2. Agenda 2
 PECO Microgrid Project Overview – Eric Stein
 EPRI Microgrid Optimization Study – Travis White
 Utility Integrated Microgrid Framework & Challenges – George Sey

3. Background 3
 In October 2015, the Pennsylvania PUC approved PECO’s System 2020 five year plan to install
advanced equipment, making the PECO system more weather resistant and less vulnerable to storm
damage. As part of this plan, PECO communicated that it was developing a proposal for a state-of-the-art
microgrid demonstration pilot
 PECO evaluated many potential projects with a focus on providing critical goods and services to
surrounding area customers during extended outage periods. Projects were evaluated with a selection
criteria that focused on; customer mix, reliability and resiliency enhancement, capacity need, surrounding
population density, and accessibility.
 Conceptual designs of the four highest potential pilot opportunities were further developed and evaluated
by performing formal feasibility studies
 The Concord Township Microgrid Project was identified as the best choice as a demonstration project that
would deliver real benefits and allow PECO to evaluate microgrid technologies for future application.
 PECO filed a petition for allowance with the Pennsylvania PUC to construct the Concord Microgrid Project
in May of 2016. A decision is anticipated by the first quarter of 2017
 PECO is also participating on the Philadelphia Navy Yard Microgrid Project Team. This project will provide
important lessons learned that will facilitate future deployment of advanced microgrid energy systems

4. Slide 4
PECO Microgrid Project
*Sited on Customer Property
Microgrid 1
Microgrid 2
*Li-Ion BESS
2x100 kW
*Roof-Top PV
260 kW
*Carport PV
74 kW
*Wind Turbine
160 kW
*Rooftop PV
930 kW
Municipal Building,
and Fire Station
Level 2 EV Chargers
Level 3 EV Chargers
C
C
C
Shopping Center
CHotel
Shopping Center
Hotel
C
CShopping Centers
NG Engine
1980 kW
NG Engine
1980 kW
NG Engine
1980 kW
NG Engine
1980 kW
NG Engine
1980 kW
Shopping Center
Multiple Building
Locations
Retirement Home, Gas
Station, Food, ATM,
Sewage Plant
Shopping Center
4.0 MW Peak
4.6 MW Peak
Ground Mount PV
500 kW
4
Customers include; medical and surgery centers, retirement community, township building, fire
station, sewage plant, gas stations, supermarkets, convenience stores, restaurants, pharmacies, bank
services, home improvement, hotels, shelter, and retail space
*EV
Chargers
Li-Ion BESS
200 kW

5. Operational & Design Overview 5
 Peak generation capacity allows for full islanding without demand response
 Transition between all modes of operation
 Environmentally friendly renewable DER
 BESS to maintain high power quality - renewable smoothing, generator loading, loading shedding,
and demand transitions
 Uninterruptible power supply for fire house, township building, and shelter
 Remotely controlled load centers to coordinate load block management and fault isolation
 Coordination with existing utility distribution automation schemes
 Protection and control coordination with utility for island and parallel operation
 Economic dispatch of DER during parallel operation
 Remote DMS control and monitoring from PECO Operations Control Center

6. EPRI Microgrid Optimization Study 6
 The objective of this study is optimize the current conceptual design
 One year of historical load profile is being used to optimize DER resource type and size to
deliver optimal operational effectiveness and economic dispatch
 Data integrity and organization has been a challenge
 Load profile data is being organized in a nodal (load center) format to perform the analysis
 DER-CAM - Distributed Energy Resources Customer Adoption Model is the primary tool that
is being used to perform this analysis
• Allows users to perform scenario analysis of system to optimize design
• Economic and environmental model of customer DER adoption
• Determine the optimal Microgrid configurations as well as operating strategies
• Developed at Lawrence Berkley National Lab in 2000
• Aims to minimize the cost of operating on-site generation
• PECO is the 1st utility using this tool to evaluate a “Utility Integrated Microgrid”
 Other tools are also being used to provide additional insights

7. EPRI Microgrid Optimization Project 7
 Current Project Status
• All interval Load data has been collected
• Currently extracting all conductor types, lengths and impedances for Power Flow
analysis
 EPRI Deliverable
• DER-CAM scenario report for 4 seasons
• DER-CAM Power Flow Model (multi-node analysis)
• Cost/Benefit Analysis
 Objectives
• Support DER-CAM tool development and enhancement for utility use
• Provide feedback on how to make tool more effective and easier to use
• Support EPRI’s Integrated Grid vision to move toward in developing a process for
taking a project from concept to execution

8. EPRI Microgrid Optimization Study
 Challenges
• Extracting one year of Demand Data to develop an aggregate load profile for
customers served by the microgrid
 Interval Mix (15 & 30 min)
 Variety of meter types
 Data gaps due to customer relocations and meter upgrades occurring within
the sample data set
• Extracting existing infrastructure information need for power flow modeling.
 Conductor Type
 Impedance
 Lengths
 Nodes
8

9. 9
Privileged & Confidential – Prepared at the Request of Counsel – Not For Distribution
Microgrid Site Geographic Overview
Complex

10. 10
 Overarching Framework
• Select critical public purpose customers dispersed among disparate feeders
• Point of Common Coupling (PCC) creation
• Foundational hardening minimization
• Contingency Management
 Demand Data Granularity
• Traditional utility analysis philosophy may not be adequate
• Readily available information lacks high resolution
• Customer-level analysis requires AMI infrastructure with adequate sampling rate
• Data repository access may be a challenge
 Island Mode Operational Pillars
• PA law mandated voltage band must be maintained
 120V nominal (+/-5% for residential and +/-10% for commercial/industrial)
• Generation capacity must support total load
• Multi-customer coordination and integration of existing DERs must be considered
Utility-Integrated MG Challenges

11. 11
 Concord Township microgrid to be a one-of-a-kind system facilitating
learnings that can be leveraged for future deployments
 Anticipate PUC decision by 1st Qtr. 2017
 Preliminary site requirement, generation/configuration optimization, and power
flow analysis on-going with EPRI
 Design & operational objectives of utility-integrated vs. campus-based
systems differ to a degree
 Utility philosophies must adapt to properly conceive, implement, and
successfully build & operate an effective microgrid
 Next step is hardware in the loop (HIL) simulation testing to evaluate dynamic
system response and protection and control requirements
Summary