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Optimal Micro-PMU Placement for Improving State Estimation Accuracy via Mixed-integer Semidefinite Programming

delete2023-01-01
delete10
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OA
AI
杨鹏 cover
杨鹏 (Peng Yang)
Z
Zhi Wu *
W
Wei Gu
S
Suyang Zhou
P
Pengxiang Liu
DOI:10.35833/MPCE.2021.000615delete
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Abstract

Abstract

En 中文
Micro-phasor measurement units (mu PMUs) with a micro-second resolution and milli-degree accuracy capability are expected to play an important role in improving the state estimation accuracy in the distribution network with increasing penetration of distributed generations. Therefore, this paper investigates the problem of how to place a limited number of mu PMUs to improve the state estimation accuracy. Combined with pseudo-measurements and supervisory control and data acquisition (SCADA) measurements, an optimal mu PMU placement model is proposed based on a two-step state estimation method. The E-optimal experimental criterion is utilized to measure the state estimation accuracy. The nonlinear optimization problem is transformed into a mixed-integer semidefinite programming (MISDP) problem, whose optimal solution can be obtained by using the improved Benders decomposition method. Simulations on several systems are carried out to evaluate the effective performance of the proposed model.
Keywords:
Phasor measurement unit (PMU)
distribution system state estimation
mixed-integer semidefinite programming (MISDP)

Journal

Journal of Modern Power Systems and Clean Energy cover
Journal of Modern Power Systems and Clean Energy
IF:
6.1
Papers:
1.6K
Citations:
6.0K

Organization

S
southeast university - china
Scholars:
5.3W
Papers: 4.9W
Citations: 57