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1
Internship Presentation
2015
Sudarshana Hore – EMS
Intern
EDUCATION:
Master of Science - Michigan Technological University
Department- Electrical & Computer Engineering
Internship:
Manager- Jay R. Dondeti
Mentor - Charles
Department- EMS Engineering
OVERVIEW
 Roles of EMS Engineer
 EMS Applications
 Significance of Mvar
 Project: Mvar State Estimator Solution Improvement
• Tasks Accomplished
• Voltage/Var Performance
• XF Tap Change Case Study
• Tap Estimation
 Concerns
 Future Work
 Suggestions & Questions
3
ROLES OF EMS ENGINEERING
4
 Maintain/operate State Estimator and Real Time
Contingency Analysis applications
 24*7 monitoring and resolving solution issues
 Model Issues
 Resolve Application Issues: Working with other
teams in MISO and vendor (ALSTOM)
 Application Enhancement
EMS APPLICATIONS
SCADA
State Estimator
(SE)
Real-time
Contingency
Analysis (RTCA)
Loss Sensitivity
Calculator
(LOSSES)
Constraint Activity
Logger
(CLOGGER)
Unit Dispatch
System (UDS)
Unit Output
Breaker Status
Loss sensitivities
Constraint list and
sensitivities
Constraint list and
sensitivities
Analogs
Statuses
Real-time Model
Automatic
Generation Control
(AGC)
Island
5
Network Topology
6
APPARENT POWER
Beer: Full glass
Electricity: Available from
utility
REACTIVE POWER
(MVAR)
Beer: Foam
Electricity: Unable to do
work
REAL POWER (MW)
Beer: Drinkable
Electricity: Able to do work
It is the Active Power that contributes to the energy consumed, or
transmitted. Reactive Power does not contribute to the energy. It
is an inherent part of the ‘‘total power’’ which is often referred as
“Useless Power”.
SIGNIFICANCE OF Mvar
7
Benefits
 Improves system power
factor
 Reduces network losses
 Avoid penalty charges from
utilities for excessive
consumption of reactive
power
 Reduces cost and
generates higher revenue
for the customer
 Increases system capacity
and saves cost on new
installations
 Improves voltage
regulation in the network
 Increases power availability
8
9
Tasks Accomplished
1
• Analyzing the data and getting a statistics of
tap positions of the transformers for each of
the companies/ areas
2
• Evaluating the performance measurement for
various cases
3
• Analyzing the transformers having the highest
residuals and thus contributing to a high PM
4
• Analyzing effect of tap estimation in
Performance measurement
10
5
• Highlighting the areas of concerns, issues
such as model issues, measurement issues
etc.
6
• Automated the process by writing few
jython scripts so that can be reused in
future
7
• Provided valid data points with charts, bar
graphs and excel documents, so that can
be shared with concerned teams to take
necessary actions for the concerned areas
Tasks Accomplished
Voltage/Var Performance
11
WeightFootprintCA Weight)20)5.04.1(
20))5Resedual()50Resedual()50ResidualX((
0.01MismatchKVBSofSum40BSmeteredperResidualKVAvg.
0.01MismatchVarUNofSum40UNmeteredperResidualVarAvg.
0.005ResidualXFofSum3XFmeteredperResidualVarAvg.(MeasureePerformanc





orSEkvvBSswithSEk
BSsUNsFsSum
Performance Measure for each individual CA is calculated as
(Proposed):
12
PM Comparison for Different Companies
AECI
13
Base Case: Tap is already at nominal 0 (min=-16 and max=16) Residuals = 45.94
All nom case: Tap is already at nominal 0 (min=-16 and max=16) Residuals = 45.94
AECI
14
Sign is flipped: Residuals dropped down PM becomes 103.12
ALTW
15
Base Case: Tap is -3(min=-16; nom=-1; max=16) Residuals = 92.84
All nom Case: Tap is =-1(min=-16; nom=-1; max=16) Residuals = 119.27
ALTW
16
“Tap set to 0”(min=-16; nom=-1; max=16) Residuals = 23.7
PM became 30.21
LES
17
Base Case: Tap is 7(min=-16; nom=0; max=16) Residuals = 78.33
LES
18
All Nom Case: Tap is 7(XF is on tap estimation) Residuals = 97.91
Tap is set to 0(nominal) PM=33.28 Residuals = 21.37
EES
19
Base Case: Tap is 3(min=-1; nom=3; max=5) Residuals = 67.32
Only min to nom Case : Tap is 3 Residuals = 67.20
EES
20
All nom Case : Tap is 3 Residuals = 29.08
Flipped the sign Residuals = 19.57
PM doesn’t improve!!!
21
NELSON_E (T1)
Base Case : Tap is 3(nom=3;min=1;max=5) Residuals = 38.77
Only min to nom Case: Tap is 3(nom=3;min=1;max=5) Residuals = 29.32
EES
22
All nom Case: Tap is 3(nom=3;min=1;max=5) Residuals = 87.66
RBEHV (AT1_500): Residual shoots upto 74.54 from 41.24 for all nominal case
TAP ESTIMATION: ONT
23
Base Case: Tap is 2(nom=11;min=1;max=21) Residuals = 360.97
All nom Case: Tap is 2(nom=11;min=1;max=21) Residuals = 93.91
TAP ESTIMATION: ONT
24
All nom Case: Tap is 9(nom=11;min=1;max=21) Residuals = 26.50
Flag is checked for Tap Estimation
TAP ESTIMATION: TVA
25
Base Case: Tap is 15(nom=12;min=1;max=23) Residuals = 218.26
All nom Case: Tap is 15(nom=12;min=1;max=23) Residuals = 229.57
26
Tap is 12(nom=12;min=1;max=23) Residuals = 188.77
Flag is checked for Tap Estimation
Tap is 19 Residuals = 296.75
27
0
50
100
150
200
250
300 ALTE
ALTW
AMIL
AMMO
BREC
CIN
CLEC
CONS
CWLD
DECO
DPC
EAI
EES
GRE
HE
IPL
LAFA
LAGN
MEC
MGE
MHEB
MP
MPW
NIPS
NSP
OTP
SIGE
SIPC
SME
SMP
SPS
WAUE
WEC
WPS
BaseCase_PM
Only min_PM
All Nom_PM
Tap Estimation_PM
Internal Areas: Comparison with Tap Estimation
28
0
200
400
600
800
1000
1200
1400
BaseCase_PM
Only min_PM
All Nom_PM
Tap Estimation_PM
First Tier: Comparison with Tap Estimation
29
0
500
1000
1500
2000
2500
BaseCase_PM
Only min_PM
All Nom_PM
Tap Estimation_PM
External: Comparison with Tap Estimation
30
CARMEL_C
0
50
100
150
200
250
300
350
BREC HE AMIL AMMO CIN CWLD CWLP IPL OVEC SIGE SIPC
No of Observable Taps
Total no of transformers
0
20
40
60
80
100
120
1 2 3 4
BREC
HE
AMIL
PM Comparison
31
0
50
100
150
200
250
300
350
400
450
ALTE CONS UPPC NIPS DECO MGE WEC WPS
No of Observable Taps
Total no of transformers
CARMEL_E
0
50
100
150
200
250
300
350
400
450
ALTE
CONS
UPPC
NIPS
PM Comparison
32
0
50
100
150
200
250
300
CLEC LAFA EAI EES LAGN SME
No of Observable Taps
Total no of transformers
SOUTH
0
20
40
60
80
100
120
CLEC
LAFA
PM Comparison
33
0
50
100
150
200
250
300
350
400
450
ALTW DPC MDU MHEB NSP MPW GRE MEC MP OTP SMP
No of Observable Taps
Total no of transformers
ST PAUL
34
High no. of
Observable Taps:
Better PM with
Tap Estimation
Low no. of
Observable Taps:
Worse PM with
Tap Estimation
High no. of
Observable Taps:
Worse PM with
Tap Estimation
Low no. of
Observable Taps:
Better PM with
Tap Estimation
Concerns
35
Model Issues:
• Nominal tap is not set to proper value
• No taps assigned
Measurement Issues: Flipped measurements
Tap estimation: Low observability
36
Future Work
Sharing the data with modelling team and
discussing about action points
 Implementing the suggested changes to
get a better Mvar Solution
 Learned How the EMS System works
 Implementation of Theoretical Ideas
 Exposure to Alstom EMS
 Automated the process for future use
 Improvement of analytical and coding
skills
 Made new friends 
37
SUMMARY
38
39
40

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Sudarshana Hore_2015 Intern MISO

Editor's Notes

  1. MISO as market operator, RC, and BA Monitors the transmission system to ensure flows and voltages remain within limits Balances injections and withdrawals, manage congestion, and produce prices To achieve this we need to know the current topology, state, and flows, and potential constraints on the power system EMS Eng provides the necessary services Energy Management Systems (EMS) are used to monitor (Alarm, SCADA, SE), analyze various impacts (CA, NETSENS), and control (AGC) EMS is a traditional, but critical and complex, piece in system operations Maintain/operate State Estimator and Real Time Contingency Analysis applications to ensure high quality, availability of solutions Monitor and resolve solution issues on a continuous basis (RT 24x7 desk) within performance criteria Work with modeling team to resolve model issues Ensure new models are tested and tuned before propagating to production Resolve application issues by debugging complex software and data issues, testing patches and releases, and working with teams at MISO and vendor (ALSTOM) Design and develop new applications and tools, and work with vendor to design and enhance applications
  2. Increasing var load reduces the ability of the system to deliver real power and perform useful work. In extreme cases, a high var load can shift the voltage and current so much that it reduces the power system’s delivery capability so that almost no active power can be delivered. There can also be other undesirable effects like low voltages and increased equipment heating and system losses. While reactive power does not provide useful work, it is essential for AC transmission and distribution systems, motors, and many other types of customer loads. For motor loads, sufficient var levels are needed to avoid voltage sags that inhibit the conversion and flow of watts to meet load demand. Therefore, actual power systems require both real and reactive power to function properly. [http://blogs.dnvgl.com/utilityofthefuture/reactive-power-what-it-is-why-it-is-important]
  3. MI: +quality of measurements