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ABB
Annual Users’ Group Meeting
August 27 – 31, 2006
NM DMS/FeederAll
Power Applications
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William Peterson
Network Planner FeederAll
Study Cases
Data Import
Base Cases
Customer
GIS Interfaces
Oracle MS
Access
Oracle MS
Access
Oracle MS
Access
NM DMS
Oracle MS
Access
Oracle MS
Access
FeederAll
Data Maintenance
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Oracle MS
Access
Applications
Load Allocation
Balanced Load Flow
Unbalanced Load Flow
Short Circuit
Motor Start
Protection Coordination
Capacitor Placement
Feeder Reconfiguration
Reliability Analysis
Utilities
Impedance Calculation
Line Reconductor
Universal Light Table
System Statistics
Data Validation
Network Planner Distribution Planning Tools
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FeederAll Benefits
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Provides accurate modeling and
analysis for the electrical distribution
network
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Consists of proven engineering tools,
refined through twenty-five years of
experience
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Analyzes re-conductoring and feeder
reinforcement plans
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Evaluate alternative feeder
reconfiguration schemes
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Improves capacitor selection and
placement
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Improves the coordination efforts by
engineers
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Relinet Benefits
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Reduces operating and capital
expenditures to improve the bottom
line
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Maximizes utilization of equipment to
increase life expectancies
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Provides quick, accurate answers to
large scale reliability studies
Network Manager DMS
Real-time
NM DMS
Off-line
Graphical User Interface
Real-Time
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Balanced
Load Flow
Unbalanced
Load Flow
Simulation Mode
Fault Location
Case Study
Restoration
Switching
Analysis
Line Unloading
ABB’s NM Distribution Analysis Solutions
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DMS Power Application Benefits
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Efficient and reliable operation of the
electrical network with on-line analysis
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Facilitates fast identification and location
of faults
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Reduces and optimizes outage
restoration time by automatically
evaluating restoration plans on-line
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Provides one-line switching plans to
unload lines by transferring loads to
adjacent feeders
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Provides quick in-memory simulations of
user selected areas
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Significant Milestones in DMS Operations
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Significant milestones using transmission and distribution models
as they exist today
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Completion of real-time Unbalanced Load Flow
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Phase angle security check
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Integration of Unbalanced Load Flow with real-time EMS State
Estimator
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Integration of Fault Location to real-time relay measurements
collected by NM EMS
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Integration of DMS into NM EMS dispatcher training simulator
Network Unbalanced Load Flow
Network
• Phased based, any combination
of phases
• Loops
• Parallel networks with multiple
swing buses
• Primary networks, spot networks,
dedicated networks
• Underground loops
• Phases of same line fed from
different sources
Feeder Loading
• Amps or power, per phase or
three phase
• SCADA, feeder seasonal
profiles,
• State Estimator voltage and
angle
• Load scaling by KVA, billed
energy, or seasonal profiles
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Transformers
• Y-Y, D-Y, Y-D, D-D, open delta or
wye
• Single phase, two phase three
phase
• Local/remote regulation line-toline (LL) / line-to-neutral (LN)
• Line drop compensators
• Ganged / unganged regulation
• Phase shifts computed from H1,
H2, H3, X1, X2, X3 phase
connections
Capacitors
Solution
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• Full Newton Raphson solution,
modeling is derived phase based
• Object oriented C++ code
• High performance commercial
FORTRAN sparse matrix storage and
factorization
Day type schedules
Regulation voltage LL, LN
Regulating var LL, LN
Regulating var with voltage override
LL, LN
• Ganged / unganged regulation
• Local / remote regulation
Load Model
• Phase based
• Y, D, open delta, two phase delta
• Constant power or constant
impedance
Line Impedance
• Dynamic impedance matrix
calculation
• Conductor / structure data
Limit Checks
• Four seasonal limits with two ratings in
each season (lines, devices, and
transformers)
• Line ratings can be applied to line types
or conductors
• Devices and lines can have different
ratings for individual phases
• Limit set in-use can be set locally by
operator or come from a server profile
Generation
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Multiple swing sources
Regulating cogenerators
Constant power cogenerators
Single or three phase
Results
• Overload tabular with graphical highlights
(lines, transformers, devices, reverse
power flow on network protectors)
• Tabular
• Annotations
• HTML reports
• Component properties
Integration
• Client based on-demand
• Server based entire system daily peak or
on topology change
• Integrated in RSA and Line Unloading
Nominal Phase Angle Security Check
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Switch operations are
check to see if circuits
phase
Nominal angle is
checked from source
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Includes transformer
phase shifts
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Includes fixed phase
shifts from
subtransmission
entered on source in
database
0 deg
YD
30 deg
30 deg
30 deg
DD
30 deg
State Estimator Interface
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NM DMS Unbalanced
Load Flow uses State
Estimator voltage and
angle
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Increases the
accuracy of parallel
switching operations
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Angle difference used
by load flow
represents the true
angular difference in
the field
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Angular difference is
closely related to real
power flow
EMS
State Estimator
12.1 kV
-1.8 deg
12.1 kV
-10.2 deg
Fault Location Relay Interface
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NM EMS monitors
circuit breakers for
lockout trips
Collects fault data
from relays and
triggers NM DMS fault
location
Fault location provides
NM DMS operator with
possible fault locations
Network Manager
Fault Location
Results
RTU
Dispatcher Training Simulator Interface
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DMS provides
simulator with feeder
switching information
so SCADA
measurements can be
scaled
3 MW
1 MVAR
0.9
0.85
SCADA
Simulator provides
SCADA
measurements to
DMS feeder heads
based on scenario
load curve
Percent of normal
loading
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DTS
SCADA Simulation
Percent of normal
loading
NM Dispatcher
Training simulator is
integrated with DMS
SCADA
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1.3
1.25
6 MW
4 MVAR
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Planned Work
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Merge Network Unbalanced Load Flow into FeederAll
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Automation of Restoration Switching Analysis evaluate
sectionalizing and restoration paths up to three layers from the
fault zone
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Local DMS historian storing a months history of SCADA values
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DMS ICCP interface to third party State Estimators and feeder
measurements
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DMS ICCP interface to third party historians for feeder loading
data
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Fault location ICCP interface to third party SCADA relay
interfaces
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Split line temporary jumper
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What Does this Mean to You
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Improved efficiency in evaluating power systems in both planning
and real-time modes
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Efficient use of resources
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Increased reliability
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Reduced outage time due confidence in real-time switching
scenarios