State Estimation
State Estimation is the process of assigning a value to an unknown system
state variable based on measurements from that system according to some
criteria.
The process involves imperfect measurements that are redundant and the
process of estimating the system states is based on a statistical criterion that
estimates the true value of the state variables to minimize or maximize the
selected criterion.
Most Commonly used criterion for State Estimator in Power System is the
Weighted Least Square Criteria.
It originated in the aerospace industry where the basic problem have
involved the location of an aerospace vehicle (i.e. missile , airplane, or
space vehicle) and the estimation of its trajectory given redundant and
imperfect measurements of its position and velocity vector.
In many applications, these measurements are based on optical
observations and/or radar signals that may be contaminated with
noise and may contain system measurement errors.
In the Power System, The State Variables are the voltage
Magnitudes and Relative Phase Angles at the System Nodes.
The inputs to an estimator are imperfect power system
measurements of voltage magnitude and power, VAR, or ampere
flow quantities.
The Estimator is designed to produce the “best estimate” of the
system voltage and phase angles, recognizing that there are
errors in the measured quantities and that they may be redundant
measurements.
SE Measurement Types
What Measurements Can Be Used?
Bus voltage magnitudes.
Real, reactive and ampere injections.
Real, reactive and ampere branch flows.
Bus voltage magnitude and angle differences.
Transformer tap/phase settings.
Sums of real and reactive power flows.
Real and reactive zone interchanges.
Unpaired measurements ok
04/21/25 Power System Operation and Control 4
Errors
•Inaccurate transducer calibration
•The effect of A/D conversion
•Noise in communication channels
•Unbalanced phases etc.
State vector
1
2 
 b
s n
n
 







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


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
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



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




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

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


nb
nb
n
V
V
V
x
x
x
X
:
:
:
:
2
1
3
2
2
1



04/21/25 Power System Operation and Control 5
Measurement Schemes
1. Measurement of P at all buses except reference bus and Q at all buses
s
b
m n
n
n 

 1
2
2. Measurement of P,Q and V at all buses
b
m n
n 3

3. Measurement of P,Q at both ends of each element of transmission network.
l
m n
n 4

4. Measurement of P,Q at both ends of each element of transmission network
plus measurement of Voltage magnitudes at all buses.
b
l
m n
n
n 
4
5. Measurement of P,Q and V at all buses plus Measurement of P,Q at both
ends of each element of transmission network.
l
l
m n
n
n 4
3 

s
m n
n 
04/21/25 Power System Operation and Control 6
Three cases
Case(i) : If unique solution
Case(ii) : If infinite solution
Case(iii) : If no solution, Redundant meter readings
Static State Estimation
•Weighted Least square criterion
•Maximum likelihood criterion
•Minimum Variance criterion
s
m n
n 
s
m n
n 
s
m n
n 
04/21/25 Power System Operation and Control 7
Weighted Least square Estimation
•Estimate the current state from last known values of state vector.
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04/21/25 Power System Operation and Control 8
0
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where
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04/21/25 Power System Operation and Control 9
Algorithm
•Calculate and corresponding to
•Calculate
•If is small, then stop and
•If is not small, then update
]
[X
F
X
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A



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X
X old
new 

 and go to step 1.
04/21/25 Power System Operation and Control 10
1
1
1
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use
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insteadof
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Z
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A
A
C
A
X T
T
04/21/25 Power System Operation and Control 11
Treatment of bad data or Error identification
Case(i) : If unique solution
Case(ii) : If redundancy exists.
So J=0
Case(iii) : If bad measurements.
Detection of bad measurements with Deterministic State
Estimation
s
m n
n 
s
m n
n  0
]
ˆ
[ 
X
s
m n
n  0

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



m
n
n
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i
T
e E
W
E
W
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unction
objectivef
1
2
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,
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m
n
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i
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Calculate
1
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04/21/25 Power System Operation and Control 12
Case(i) : If no bad measurements
Case(ii) : If few bad measurements
Case(iii) : If accept the tolerance
Identification of bad measurements with Deterministic
State Estimation
Evaluate corresponding to the
estimated state for each measurement.
If more bad measurements eliminate
Repeat state estimation until
e
J
J 
ˆ
e
J
J 
ˆ
e
J
J 
ˆ

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m
n
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e
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ˆ
04/21/25 Power System Operation and Control 13
Detection of bad measurements with Probabilistic State
Estimation
Choose a suitable value of , then determine from
standard table.
k
J
]}
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[
{
]
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]}
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{
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ˆ
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Z
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F
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J T


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k
J
J 
ˆ
If bad measurements identify bad data
Pseudo measurements )
( s
m n
n 
1. Replace by alternate value
2. No program or algorithm change
3. Not good
04/21/25 Power System Operation and Control 14
Procedures adopted
1.Failure of telephonic channels  oral
2.Failure of measuring equipment or bad measurement  telemeter
data or telephone
3.No telephone communication  missing data from last estimate
(pseudo) by reducing weightage or increase variance temporarily
Virtual Measurements
1. Consider junction buses with neither power generation nor load
Assuming 3 junction buses, then
Total measurements exceeds  system is observable (virtual)
2. Express in terms of corrections in state variables at
other buses  linearizing the equations for P and Q at junction
buses.
)
( s
m n
n 
0
,
,
,
,
, 3
3
2
2
1
1 
Q
P
Q
P
Q
P
s
n


 ,
V
Contingency Analysis
 Allows the system to be operated defensively
 Many problems in power systems can cause
serious trouble within a rapid time period and the
human operator can not respond fast enough
 cascading failures
 models possible system troubles before they arise
 Using a model of the power system, a computer
algorithm predicts future operating states and gives
alarms to any potential overloads or out-of-voltage
limits
04/21/25 15
Power System Operation and Control

State estimation power point presentation in Unit V

  • 1.
    State Estimation State Estimationis the process of assigning a value to an unknown system state variable based on measurements from that system according to some criteria. The process involves imperfect measurements that are redundant and the process of estimating the system states is based on a statistical criterion that estimates the true value of the state variables to minimize or maximize the selected criterion. Most Commonly used criterion for State Estimator in Power System is the Weighted Least Square Criteria. It originated in the aerospace industry where the basic problem have involved the location of an aerospace vehicle (i.e. missile , airplane, or space vehicle) and the estimation of its trajectory given redundant and imperfect measurements of its position and velocity vector.
  • 2.
    In many applications,these measurements are based on optical observations and/or radar signals that may be contaminated with noise and may contain system measurement errors. In the Power System, The State Variables are the voltage Magnitudes and Relative Phase Angles at the System Nodes. The inputs to an estimator are imperfect power system measurements of voltage magnitude and power, VAR, or ampere flow quantities. The Estimator is designed to produce the “best estimate” of the system voltage and phase angles, recognizing that there are errors in the measured quantities and that they may be redundant measurements.
  • 3.
    SE Measurement Types WhatMeasurements Can Be Used? Bus voltage magnitudes. Real, reactive and ampere injections. Real, reactive and ampere branch flows. Bus voltage magnitude and angle differences. Transformer tap/phase settings. Sums of real and reactive power flows. Real and reactive zone interchanges. Unpaired measurements ok
  • 4.
    04/21/25 Power SystemOperation and Control 4 Errors •Inaccurate transducer calibration •The effect of A/D conversion •Noise in communication channels •Unbalanced phases etc. State vector 1 2   b s n n                                               nb nb n V V V x x x X : : : : 2 1 3 2 2 1   
  • 5.
    04/21/25 Power SystemOperation and Control 5 Measurement Schemes 1. Measurement of P at all buses except reference bus and Q at all buses s b m n n n    1 2 2. Measurement of P,Q and V at all buses b m n n 3  3. Measurement of P,Q at both ends of each element of transmission network. l m n n 4  4. Measurement of P,Q at both ends of each element of transmission network plus measurement of Voltage magnitudes at all buses. b l m n n n  4 5. Measurement of P,Q and V at all buses plus Measurement of P,Q at both ends of each element of transmission network. l l m n n n 4 3   s m n n 
  • 6.
    04/21/25 Power SystemOperation and Control 6 Three cases Case(i) : If unique solution Case(ii) : If infinite solution Case(iii) : If no solution, Redundant meter readings Static State Estimation •Weighted Least square criterion •Maximum likelihood criterion •Minimum Variance criterion s m n n  s m n n  s m n n 
  • 7.
    04/21/25 Power SystemOperation and Control 7 Weighted Least square Estimation •Estimate the current state from last known values of state vector. ]} [ ] [ ]{ [ ]} [ ] [ { , Z x F W Z X F J unction objectivef T    2 1 ]} [ ] [ { , i i n i i Z X F W J Expanding s    ] [ ] [ 0 i i Z X whenF J   ] ][ [ ] [ ]) [ ] ([ ] [ 0 0 X A X F X X F X F       ]} [ ] ][ [ ] [ ]{ [ ]} [ ] ][ [ ] [ { 0 0 Z X A X F W Z X A X F J T        ]} ][ [ ] [ ] [ ]{ [ ]} ][ [ ] [ ] [ { 0 0 X A Z X F W X A Z X F J T        ]} [ ] [ ]{ [ ] [ ] [ 2 ] ][ ][ [ ] [ ]} [ ]} [ ] [ ]{ [ ]} [ ] [ { 0 0 0 Z X F W X A X A W A X Z X F W Z X F J T T T T T         
  • 8.
    04/21/25 Power SystemOperation and Control 8 0 | ] ˆ [ ] [ ] [        X X X J 0 ]} [ ] [ ]{ [ ] [ 2 ] ˆ ][ [ ] [ 2 ] [ 0         Z X F W A X W A X J T T ]} [ ] [ ]{ [ ] [ 2 ] ˆ ][ [ ] [ 2 0 Z X F W A X W A T T     ]} [ ] [ ]{ [ ] [ ]} ][ [ ] {[ ] ˆ [ 0 1 Z X F W A A W A X T T      ] [ ] [ ]} [ ] ]{[ [ ] [ ]} ][ [ ] {[ ] ˆ [ 0 0 1 X X where X F Z W A A W A X T T     
  • 9.
    04/21/25 Power SystemOperation and Control 9 Algorithm •Calculate and corresponding to •Calculate •If is small, then stop and •If is not small, then update ] [X F X F A    ] [ ] [ 0 X ] ˆ [ X  ] ˆ [ X  ] ˆ [ ] [ 0 X X  ] ˆ [ X  0 X ] ˆ [ ] [ ] [ 0 0 X X X old new    and go to step 1.
  • 10.
    04/21/25 Power SystemOperation and Control 10 1 1 1 1 ] [ ], [ ]} [ ] {[ ] [ ] [ ]} [ ] [ ] {[ ] ˆ [        C use W insteadof X F Z C A A C A X T T
  • 11.
    04/21/25 Power SystemOperation and Control 11 Treatment of bad data or Error identification Case(i) : If unique solution Case(ii) : If redundancy exists. So J=0 Case(iii) : If bad measurements. Detection of bad measurements with Deterministic State Estimation s m n n  s m n n  0 ] ˆ [  X s m n n  0  J     m n n i i T e E W E W E J unction objectivef 1 2 ] ][ [ ] [ ,     m n i i i i Z X F W J Calculate 1 ]} [ ] [ ]{ [ ] ˆ [
  • 12.
    04/21/25 Power SystemOperation and Control 12 Case(i) : If no bad measurements Case(ii) : If few bad measurements Case(iii) : If accept the tolerance Identification of bad measurements with Deterministic State Estimation Evaluate corresponding to the estimated state for each measurement. If more bad measurements eliminate Repeat state estimation until e J J  ˆ e J J  ˆ e J J  ˆ     m n i i i i Z X F W J 1 2 ]} [ ] [ ]{ [ ] ˆ [X e J J  ˆ e J J  ˆ
  • 13.
    04/21/25 Power SystemOperation and Control 13 Detection of bad measurements with Probabilistic State Estimation Choose a suitable value of , then determine from standard table. k J ]} [ ] [ { ] [ ]} [ ] [ { ] ˆ [ 1 Z X F C Z X F J T     k J J  ˆ If bad measurements identify bad data Pseudo measurements ) ( s m n n  1. Replace by alternate value 2. No program or algorithm change 3. Not good
  • 14.
    04/21/25 Power SystemOperation and Control 14 Procedures adopted 1.Failure of telephonic channels  oral 2.Failure of measuring equipment or bad measurement  telemeter data or telephone 3.No telephone communication  missing data from last estimate (pseudo) by reducing weightage or increase variance temporarily Virtual Measurements 1. Consider junction buses with neither power generation nor load Assuming 3 junction buses, then Total measurements exceeds  system is observable (virtual) 2. Express in terms of corrections in state variables at other buses  linearizing the equations for P and Q at junction buses. ) ( s m n n  0 , , , , , 3 3 2 2 1 1  Q P Q P Q P s n    , V
  • 15.
    Contingency Analysis  Allowsthe system to be operated defensively  Many problems in power systems can cause serious trouble within a rapid time period and the human operator can not respond fast enough  cascading failures  models possible system troubles before they arise  Using a model of the power system, a computer algorithm predicts future operating states and gives alarms to any potential overloads or out-of-voltage limits 04/21/25 15 Power System Operation and Control