PSERC%20Project%20Power%20System%20State%20Estimation%20and%20Optimal%20Measurement%20Placement%20for%20Distributed%20Multi-Utility%20Operation%20%20A.%20Abur%20and%20G.M.%20Huang%20(PIs)%20J.%20Lei%20and%20B.%20Xu%20(Students)%20Texas%20A - PowerPoint PPT Presentation

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PSERC%20Project%20Power%20System%20State%20Estimation%20and%20Optimal%20Measurement%20Placement%20for%20Distributed%20Multi-Utility%20Operation%20%20A.%20Abur%20and%20G.M.%20Huang%20(PIs)%20J.%20Lei%20and%20B.%20Xu%20(Students)%20Texas%20A

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and Optimal Measurement Placement for Distributed Multi-Utility Operation ... Form Contingency Measurement incidence matrix. Optimal Candidate selection ... – PowerPoint PPT presentation

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Title: PSERC%20Project%20Power%20System%20State%20Estimation%20and%20Optimal%20Measurement%20Placement%20for%20Distributed%20Multi-Utility%20Operation%20%20A.%20Abur%20and%20G.M.%20Huang%20(PIs)%20J.%20Lei%20and%20B.%20Xu%20(Students)%20Texas%20A


1
PSERC ProjectPower System State Estimation and
Optimal Measurement Placement for Distributed
Multi-Utility Operation A. Abur and G.M. Huang
(PIs) J. Lei and B. Xu (Students)Texas AM
University
2
Outline
  • Objectives
  • Technical Approach
  • Implementation
  • Results
  • Conclusions

3
Objectives
  • Optimal Meter Placement
  • FACTS Device Monitoring
  • Distributed State Estimation

4
Technical 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

5
Meter Placement Problem
  • Choice of Essential Measurements Set.
  • If the system is observable Factorize H matrix
  • Else Run LAV estimator
  • Candidate Identification
  • Form ContingencyMeasurement incidence matrix
  • Optimal Candidate selection
  • Use of integer programming

6
Contingencies
  • Types of Contingencies
  • Line Outage
  • Measurement Loss
  • Bus Split
  • Robustness Options
  • Against user defined contingency list
  • Bad data Detectability
  • All single line outages

7
Graphic User Interface
  • Add injections at bus 3 and 4

8
FACTS Device Monitoring
  • UPFC Modeling
  • Two V-source model
  • Four parameters
  • Constraints
  • Integration into the SE
  • Use Hachtels formulation
  • Inequality and equality constraints

9
Model of UPFC
  • Physical Model of UPFC

10
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.
11
Measurements
  • Real and reactive power through k-m

12
Constraints
  • Equality and inequality constraints of UPFC
  • VB, ?B, VB and ?B are the control parameters of
    UPFC

13
Hachtels Method
14
Hachtels Method
  • KKT first order optimality conditions

15
Example
  • FACTS device (UPFC) is installed on line 6-12,
    near bus 6

Parameters of the installed UPFC device
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
16
Estimation Results
  • Function of the program as an estimator

Voltages and powers of UPFC
VB ?B PB SB VE ?E PE SE
0.1099 60.07 0.0014 0.0128 1.0679 -14.31 -0.0014 0.0035
  • Note that PB PE 0 and VB lt 1.0, VE lt 1.0, SB
    lt 1.0, SE lt 1.0, which correctly satisfy all the
    constraints.
  • Function of the program as a power flow controller

Set power flow in line 6-12 to be 0.1 j0.1
Voltages and powers of UPFC
VB ?B PB SB VE ?E PE SE
0.1236 9.0530 0.0056 0.0159 1.0000 -14.6037 -0.0056 0.0691
17
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
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