A Scalable Meter Placement Method for Distribution System State Estimation

Jianqiao Huang; Vahraz Zamani; Yiyun Yao; Xian Guo; Xinyang Zhou

doi:10.1109/PESGM46819.2021.9637905

A Scalable Meter Placement Method for Distribution System State Estimation

Jianqiao Huang, Vahraz Zamani, Yiyun Yao, Xian Guo, Xinyang Zhou

Power Systems Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus Citations

Abstract

This paper studies the optimal meter placement problem for distribution system state estimation given limited measurement resources. We formulate the problem as a mixed integer semi-definite programming that minimizes the worst case estimation errors over a set of operating points. To solve the problem, we first relax the problem as a convex optimization problem. Motivated by the lack of scalability of existing solvers, we next leverage the special structure of the cost function and propose an algorithm based on barrier method that solves the problem with significantly better numerical performance. The proposed method has been validated on the IEEE 13-bus, IEEE 123-bus, and IEEE 8,500-bus feeders.

Original language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/PESGM46819.2021.9637905 https://doi.org/10.1109/PESGM46819.2021.9637905
State	Published - 2021
Event	2021 IEEE Power and Energy Society General Meeting, PESGM 2021 - Washington, United States Duration: 26 Jul 2021 → 29 Jul 2021

Conference

Conference	2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Country/Territory	United States
City	Washington
Period	26/07/21 → 29/07/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

NREL Publication Number

NREL/CP-5D00-82276

Keywords

barrier method
convex optimization
distribution system state estimation (DSSE)
optimal meter placement

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "A Scalable Meter Placement Method for Distribution System State Estimation",

abstract = "This paper studies the optimal meter placement problem for distribution system state estimation given limited measurement resources. We formulate the problem as a mixed integer semi-definite programming that minimizes the worst case estimation errors over a set of operating points. To solve the problem, we first relax the problem as a convex optimization problem. Motivated by the lack of scalability of existing solvers, we next leverage the special structure of the cost function and propose an algorithm based on barrier method that solves the problem with significantly better numerical performance. The proposed method has been validated on the IEEE 13-bus, IEEE 123-bus, and IEEE 8,500-bus feeders.",

keywords = "barrier method, convex optimization, distribution system state estimation (DSSE), optimal meter placement",

author = "Jianqiao Huang and Vahraz Zamani and Yiyun Yao and Xian Guo and Xinyang Zhou",

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AU - Zamani, Vahraz

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AU - Guo, Xian

AU - Zhou, Xinyang

PY - 2021

Y1 - 2021

N2 - This paper studies the optimal meter placement problem for distribution system state estimation given limited measurement resources. We formulate the problem as a mixed integer semi-definite programming that minimizes the worst case estimation errors over a set of operating points. To solve the problem, we first relax the problem as a convex optimization problem. Motivated by the lack of scalability of existing solvers, we next leverage the special structure of the cost function and propose an algorithm based on barrier method that solves the problem with significantly better numerical performance. The proposed method has been validated on the IEEE 13-bus, IEEE 123-bus, and IEEE 8,500-bus feeders.

AB - This paper studies the optimal meter placement problem for distribution system state estimation given limited measurement resources. We formulate the problem as a mixed integer semi-definite programming that minimizes the worst case estimation errors over a set of operating points. To solve the problem, we first relax the problem as a convex optimization problem. Motivated by the lack of scalability of existing solvers, we next leverage the special structure of the cost function and propose an algorithm based on barrier method that solves the problem with significantly better numerical performance. The proposed method has been validated on the IEEE 13-bus, IEEE 123-bus, and IEEE 8,500-bus feeders.

KW - barrier method

KW - convex optimization

KW - distribution system state estimation (DSSE)

KW - optimal meter placement

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M3 - Paper

AN - SCOPUS:85124171567

T2 - 2021 IEEE Power and Energy Society General Meeting, PESGM 2021

Y2 - 26 July 2021 through 29 July 2021

ER -

A Scalable Meter Placement Method for Distribution System State Estimation

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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