Observability Analysis of Distribution Networks Using Stochastic Response Surface Method

This paper proposes a static distribution network observability analysis method based on the stochastic response surface method (SRSM) and defines observability conditions and observability quantitative indicators from the perspectives of noise, data loss, and transmission delay in the distribution network, which are not considered in the existing studies. Simulations in the IEEE 14 system are performed to verify whether the system is observable and analyze the influence of noise, data loss, and transmission delay on the observability of the static distribution network system.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922111
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Observability Analysis of Distribution Networks Using Stochastic Response Surface Method

Yijun Xu, Fu Xiao, Yuanliang Fan, Yibo Li et al.
Optimal Power Flow Distribution
article

Observability Analysis of Distribution Networks Using Stochastic Response Surface Method

Yijun Xu, Fu Xiao, Yuanliang Fan, Yibo Li, Han Wu, Lingfei Li, Xinghua Huang
article en

Abstract

This paper proposes a static distribution network observability analysis method based on the stochastic response surface method (SRSM) and defines observability conditions and observability quantitative indicators from the perspectives of noise, data loss, and transmission delay in the distribution network, which are not considered in the existing studies. Simulations in the IEEE 14 system are performed to verify whether the system is observable and analyze the influence of noise, data loss, and transmission delay on the observability of the static distribution network system.

Fujian Electric Power Survey & Design Institute (CN), Shanghai Electric (China) (CN), Southeast University (CN)
Openalex Percentile: Top 74%
Optimal Power Flow Distribution
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