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© 2016 Electric Power Research Institute, Inc. All rights reserved.
Brian Deaver
Jason Taylor
September 20, 2016
Fall 2016 AdvisoryProgram 180:
Operations
2© 2016 Electric Power Research Institute, Inc. All rights reserved.
Agenda for this Morning
DMS Guides on Switch Order Management Project
Operational Research Project
DA/FLISR Application with DER Project
Application of DA Switch Placement
ENEL Convergence Project
Distribution Operations Interest Group
3© 2016 Electric Power Research Institute, Inc. All rights reserved.
DMS Guides on Switch Order Management Project
4© 2016 Electric Power Research Institute, Inc. All rights reserved.
Distribution Management System Guides(P180.012)
• Overall research objectiveExpand electric distribution industry knowledge of Distribution Management System (DMS).
• What are we doing in 2016?Developing guides to provide specific, proven and practical guidance for deploying and operating Switch Order Management.
• Why is it valuable?Members participating in this research can apply the Switch Order Management (SOM) Guide to support the creation, execution, display, modification, maintenance, and printing of switching orders and benefit by being able to take advantage of the experiences of multiple utilities, avoiding pitfalls and accelerating achievement of benefits.
5© 2016 Electric Power Research Institute, Inc. All rights reserved.
Distribution Management System Guides(P180.012)
• Deliverables
Technical Update Reports:
1. Distribution Management System Guides – Switch Order Management
• Completion Date
December 2016
• Project Life
IVVC Report
OFC Report
SOMReport
2016 Project Tasks
CompletedIn ProcessUpcoming
Project Plans & Scope
Industry Scan
Develop Guide
Webcast/Report(s)
Document Options / Case Studies
2014 2015 2016
6© 2016 Electric Power Research Institute, Inc. All rights reserved.
DMS Guides (P180.012) Progress and Future Plans
DMS GuidePub: Dec 31, 2012ID #1024385
DA GuidePub: Dec 31, 2013ID #3002001292
Volt/VAR GuidePub: Dec 31, 2014ID #3002003244
Optimal Feeder ConfigurationAnd Load Balancing GuidePub: Dec 31, 2015ID 3002006128
Switch Planning GuidePub: Dec 31, 2016ID TBD
7© 2016 Electric Power Research Institute, Inc. All rights reserved.
2016 Activities
Held a Web WorkshopDid an Industry Scan on DMS Based SOM SolutionsDeveloped a Request for Utility InputReceived Input from 12 utilities
Comprehensive Guide in Progress
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Outline of Requested Information
• Planned Switching Process Outline• Description of Personnel Involved in Process• Example of Request Form• Example of Switching Plan• Description of DMS Type Tools
– DMS or Home Grown or Other– Functionality– Integration to GIS / OMS / Workforce Management
• Lessons Learned, Tips, Tricks, etc.
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Operational Research
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Operational Studies and Research(P180.013)• Overall research objective
This research will investigate and expose the impacts of the changing distribution utility landscape on Distribution Operations. This new project, initiating in 2016, will encompass a wide range of studies and research to determine the most effective approaches to a number of operational decisions.
• What are we doing in 2015?The challenges and opportunities associated with adaptive feeder protection (e.g. fuse saving, reclosing, etc.) will be studied and evaluated.
• Why is it valuable?Existing decisions may be based on historical norms for a particular utility, regulatory requirements or pressures, local customer expectations or some other combination of factors. This research will expose the key contributing factors that lead to different approaches, enabling utilities to evaluate the benefits of changing from their existing operational practices.
11© 2016 Electric Power Research Institute, Inc. All rights reserved.
Operational Studies and Research(P180.013)
• Deliverables
Technical Update Reports:
1. Operational Studies and Research
• Completion Date
December 2015
• Project Life
Adaptive Protection TBD TBD
2016 Project Tasks
CompletedIn ProcessUpcoming
Project Plans & Scope
Member Surveys
Data Analytics
Webcast/Report(s)
Literature Review
2016 2017 2018
12© 2016 Electric Power Research Institute, Inc. All rights reserved.
Member Survey Results
Fuse Saving deployed on over 50% of feeders
11
Fuse Sacrifice deployed on over 50% of feeders
7
Approximately 50% split between fuse sacrifice and fuse
saving protection schemes3
During normal blue sky days, do you mostly employ FUSE SAVING or FUSE SACRIFICE on your distribution feeders?
13© 2016 Electric Power Research Institute, Inc. All rights reserved.
Member Survey Results
Yes3
No19
Do you adaptively switch from FUSE SAVING to FUSE SACRIFICE based on operating conditions
(temperature, weather conditions, etc.)?
14© 2016 Electric Power Research Institute, Inc. All rights reserved.
Member Survey Results
How many shots of reclosing do you typically set on overhead distribution feeders?
0
2
4
6
8
10
12
14
2 shots 3 shots 4 shots Varies
Num
ber o
f Res
pond
ents
Number of Reclosing Attempts
15© 2016 Electric Power Research Institute, Inc. All rights reserved.
Member Survey Results
Do you adaptively add shots of reclosing during storm operations?
Yes1
No21
16© 2016 Electric Power Research Institute, Inc. All rights reserved.
Next Steps
Instead of looking at data that was previously collected, we need to collect fresh data for the next year.Each Utility picks 4 feeders
– Treed– Significant Fault History
For the next 12 months collect detailed fault information for these feeders (Oct 1 2016 – Sept 30 2017)– Breaker / Recloser Operations– Digital Fault Record Including Maximum Fault Current– Concurrent Fuse Outages– Mainline Patrol Results (if part of normal processes)
EPRI will analyze these records looking for correlations with wind/lightning, fault current, etc.
17© 2016 Electric Power Research Institute, Inc. All rights reserved.
DA/FLISR Application with DER Project
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Smart Distribution Applications for Distributed Energy Resources (P180.014)
• Overall research objectiveDetermine expanded role of DERs in volt-VAR optimization, reliability improvement measures, system reconfiguration, microgrid operation and control, and other DA/DMS applications
• What are we doing in 2016?In 2016, this work will continue with deep dives into the specific changes necessary to deploy an automated restoration (fault location isolation and service restoration, FLISR) application, as well as the changes necessary to deploy predictive fault location on distribution systems with high penetration of DERs.
• Why is it valuable?Provides insight into new functions and operational benefits from integration of DERs.
19© 2016 Electric Power Research Institute, Inc. All rights reserved.
Smart Distribution Applications for Distributed Energy Resources(P180.014)
• Deliverables
Technical Update Reports:
1. Smart Distribution Applications for Distributed Energy Resources (DER) – FLISR
• Completion Date
December 2015
• Project Life
Volt/VAR/CVR Prototype
FLISR Prototype TBD
2016 Project Tasks
CompletedIn ProcessUpcoming
Project Plans & Scope
Requirements for FLISR Application
Perform Sensitivity Analysis
Technical Update / Webcast
Prototype FLISR Application
2015 2016 2017
20© 2016 Electric Power Research Institute, Inc. All rights reserved.
2016 Project: DA/FLISR with DER
THE PROBLEMAutomated Restoration (FLISR, FDIR, FISR, etc.) solutions
lack visibility and control of DER assets
IMPACTRestoration Control algorithms do not account for total load
(resulting from the loss of DER after initial trip)Existing algorithms will fail in several different ways:
– Restore then trip on overcurrent– Restore then an asset (wire) will fail on overload– Fail to Restore
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Example of the Problem – DA/FLISR with DER
1 b c
2 j k l
f g
8.1 MVA 6.2 MVA 3.1 MVA
0
9.4 MVA 7.2 MVA 4.0 MVA 0
0
0
a1.1 MVA
2.3 MVA0.9 MVA
22© 2016 Electric Power Research Institute, Inc. All rights reserved.
Step 1 – Fault causes Breaker 2 to Lock Out
1 b c
2 j k l
8.1 MVA 6.2 MVA 3.1 MVA
9.4 MVA 7.2 MVA 4.0 MVA 0
0
0
a1.1 MVA
0 MVA0 MVA
12.6 MVA 9.5 MVA 6.3 MVA
The FLISR Algorithm is only aware of 9.4 MVA, however with the loss of all DER supply, the actual Load to be Restored is 12.6 MVA.
f g 0
23© 2016 Electric Power Research Institute, Inc. All rights reserved.
Step 2 – Fault Isolation Based on Incorrect Data
1 b c
2 j k l
8.1 MVA 6.2 MVA 3.1 MVA
9.4 MVA 7.2 MVA 4.0 MVA 0
0
0
a1.1 MVA
0 MVA0 MVA
12.6 MVA 9.5 MVA 6.3 MVA
DA Switches J and K are opened to isolate the fault between Breaker 2 and Switch J.
f g 0
24© 2016 Electric Power Research Institute, Inc. All rights reserved.
Step 3 – Restoration Switching Based on Incorrect Data
1 b c
2 j k l
11.3 MVA 9.4 MVA 3.1 MVA
6.3 MVA
3.2 MVA
0
a1.1 MVA
0 MVA0 MVA
Normally Open DA Switches F and L are closed to restore service. This is OK for Feeder 1, but the feeder supplying Tie L will get 2.3 MVA more than it expects. This could lead to an Overload or a Trip.
4.0 MVA
f g 0
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Things to Investigate and Model with New FLISR AlgorithmMonitoring of DER to be able to monitor and react to TOTAL
LOAD, not just NET LOAD (Total Load – DER Contribution)
Simulate the ability to Control DER from FLISR commands to restore the DER Contribution within the FLISR restoration cycle
Model different control algorithms to determine which switching steps to use for FLISR based on presence of and contribution of DER
Integration FLISR with Volt/VAR/CVR controls
26© 2016 Electric Power Research Institute, Inc. All rights reserved.
P180A Advanced System Planning Tool DevelopmentIssue:Lack of planning tools capable of evaluation and design of advanced distribution automation and controls
Objectives:Development and demonstration advanced planning capabilitiesDrive vendor capabilitiesDevelopment of standardized
controlsUser-written models
Joint P180A/F Evaluations: Volt-var Optimization (2015)
FLISR (2016)
Integration &
Delivery
Implementation &
Testing
Analysis &
RequirementsPrototypePlatform
Use Case Evaluations
Analysis Tools Planning Practices
Simulation and Model
Development
System Control Interface (SCI) Platform
27© 2016 Electric Power Research Institute, Inc. All rights reserved.
Tool Enhancements
Visualization Improved comprehension
Better understanding of a integrated system
Improving assessment efficiencies
Computation Scenarios reduction
techniques
Modeling requirements
Parallel processing
Functionalities designed to improve system planning with increasing system complexity
28© 2016 Electric Power Research Institute, Inc. All rights reserved.
Distribution Operations Interest Group
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Distribution Operations Interest Group
The Distribution Operations Interest Group provides control center managers and staff the opportunity to discuss and share experiences related to critical issues:– Distribution Control Center (DCC) organization– Staffing levels– Operations practices– Operator training– Job progression– Distribution Automation– Control center facilities– Change management. – Impact of Distributed Energy Resources
30© 2016 Electric Power Research Institute, Inc. All rights reserved.
Distribution Operations Interest Group
First Meeting (March 2014) – Hosted by Duke - Charlotte
Second Meeting (October 2014)– Hosted by GPC - Atlanta
Third Meeting (April 2015)– Hosted by Duke - Florida
Fourth Meeting (November 2016)– Hosted by APS – Phoenix
Fifth Meeting (March 2016)– Hosted by PPL - Allentown
31© 2016 Electric Power Research Institute, Inc. All rights reserved.
Review of Agenda
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Review of Agenda
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Review of Agenda
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Review of Agenda
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Next Meeting
Hosted by PG&ESan Francisco, CaliforniaOctober 19/20, 2016 Invitations Have Been Issued – See Back TableContact Eric Cornwell for information [email protected]
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Together…Shaping the Future of Electricity