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PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Dist ributed Multi-Utility Operation A. Abur and G.M. Huang (PIs) J. Lei and B. Xu (Students) Texas A&M University

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Page 1: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

PSERC ProjectPSERC Project

Power System State Estimation and Optimal Measurement Placement for Distr

ibuted Multi-Utility Operation

A. Abur and G.M. Huang (PIs) J. Lei and B. Xu (Students)

Texas A&M University

Page 2: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

OutlineOutline

Objectives Technical Approach Implementation Results Conclusions

Page 3: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

ObjectivesObjectives

Optimal Meter Placement FACTS Device Monitoring Distributed State Estimation

Page 4: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

Technical ApproachTechnical Approach Three step meter placement

– Choice of the minimum set– Choice of candidates– Optimal selection from candidates

FACTS device monitoring– Modeling with constraints– Incorporation into SE

Page 5: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

Meter Placement ProblemMeter Placement Problem Choice of Essential Measurements Set.

– If the system is observable: Factorize H matrix– Else: Run LAV estimator

Candidate Identification– Form Contingency–Measurement incidence matrix

Optimal Candidate selection– Use of integer programming

Page 6: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

ContingenciesContingencies

Types of Contingencies: Line Outage Measurement Loss Bus Split

Robustness Options: Against user defined contingency list Bad data Detectability All single line outages

Page 7: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

Graphic User InterfaceGraphic User Interface

Add injections at bus 3 and 4

Page 8: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

FACTS Device MonitoringFACTS Device Monitoring

UPFC Modeling: Two V-source model Four parameters Constraints

Integration into the SE: Use Hachtel’s formulation Inequality and equality constraints

Page 9: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

Model of UPFC Physical Model of UPFC

Page 10: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

Model of UPFC Steady State Model of UPFC

The constraint PB + PE = 0 implies that no real-power is exchanged between the UPFC and the system.

BBV

BZ

BZ

BI

BI

EEV 0 EB PP

EI

BI EZ

k m

kmkm jQP

kmkm jQP mkmk jQP

Page 11: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

MeasurementsReal and reactive power through k-m

BkB

BkEk

E

Ekkm

B

mkkm X

VV

X

VV

X

VVP ,, sinsinsin ( 1 )

BkB

BkEk

E

Ekkm

B

mkk

EB

EEkm X

VV

X

VV

X

VVV

XX

XXQ ,,

2coscoscos

( 2 )

BmB

Bmmk

B

mkmk X

VV

X

VVP ,sinsin ( 3 )

BmB

Bmmk

B

mk

B

mmk X

VV

X

VV

X

VQ ,

2

coscos ( 4 )

Page 12: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

ConstraintsEquality and inequality constraints of UPFC

• VB, θB, VB and θB are the control parameters of UPFC

Real Power Constraints: 0 BE PP (5)

Shunt Power Constraints: max,22

EEE TQP (6)

Series Power Constraints: max,22

BBB TQP (7)

Shunt Voltage Constraints: max,BB VV (8)

Series Voltage Constraints: max,EE VV (9)

Page 13: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

Hachtel’s Method

0

0)(

0)(

0)(.2

1min 1

s

xhzr

xc

sxfts

rRrT

Page 14: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

Hachtel’s Method KKT first order optimality conditions :

0

)(

)(

)(

0

00

000

00

k

k

k

TTT

xhz

xg

xf

xHGF

HR

G

FD

Page 15: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

Example

From (bus) To (bus) XB XE VB,max VE,max SB,max SE,max

6 12 0.7 0.7 1.0 1.0 1.0 1.0

Parameters of the installed UPFC device

FACTS device (UPFC) is installed on line 6-12, near bus 6

Page 16: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

Estimation ResultsFunction of the program as an estimat

or

Function of the program as a power flow controller

• Note that PB + PE = 0 and VB < 1.0, VE < 1.0, SB < 1.0, SE < 1.0, which correctly satisfy all the constraints.

Voltages and powers of UPFC

Set power flow in line 6-12 to be 0.1 + j0.1

Voltages and powers of UPFC

VB θB PB SB VE θE PE SE

0.1099 60.07 0.0014 0.0128 1.0679 -14.31 -0.0014 0.0035

VB θB PB SB VE θE PE SE

0.1236 9.0530 0.0056 0.0159 1.0000 -14.6037 -0.0056 0.0691

Page 17: PSERC Project PSERC Project Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation A. Abur and G.M. Huang

Conclusions

Optimal meter placement accounting for contingencies and loss of measurements

State estimation of systems with FACTS devices and their parameters

Setting of parameters of FACTS devices for desired power flows