A Novel Islanding Detection Method for Distributed PV System Based on <i>μ</i>PMUs

Xing, Jinlei; Mu, Longhua

doi:10.1109/tsg.2023.3236790

Cited by 12 publications

(1 citation statement)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this grid-tied mode, on the one hand, the PV power is mostly used by the load of the distribution network, which improves the absorption rate of new energy (Li et al, 2023;Xuan et al, 2020;Reshikeshan et al, 2021;Xing and Mu, 2023); on the other hand, the multi-point integration into the distribution network mode will cause the changing of the node voltage of the distribution network. Further, the PV power is volatile and intermittent, resulting from climate factors, and the large and fluctuant PV power may result in an uncertain power flow and power quality problems in the distribution network, especially at the end of the low-voltage distribution network, which will cause power scheduling difficulties.…”

Section: Introductionmentioning

confidence: 99%

Modeling and analysis of distribution network with photovoltaic cells based on Markov global sensitivity

Hu,

Zhang,

Liu

et al. 2024

Front. Energy Res.

View full text Add to dashboard Cite

When multiple distributed PV (photovoltaic) systems are integrated into multiple nodes of the distribution network, this will lead to the significant influence of the grid-tied node voltage of the power distribution network resulting from the uncertainty of PV power. Therefore, this aspect needs to be further studied in terms of how to effectively characterize the uncertainty of the voltage influence in a grid-tied multi-PV system distribution network. Focusing on this problem, a modeling and analysis method for distribution networks with PV cells based on Markov global sensitivity is proposed in this paper. Firstly, a global Markov chain is constructed using the Markov chain and the power flow equation to model the uncertainty of PV power. Furthermore, a Markov global sensitivity function is proposed to characterize the influence degree of the voltage on the distribution network nodes while multi-point PV system are grid-tied to system. The case study results show that the uncertainty model of multi-point PV grid-connection can be effectively constructed using the proposed method in this paper, and the uncertainty influence analysis is accurate. This is of great significance for grid connection planning and the optimization control of new energy systems, as well as for the new energy consumption increase.

show abstract

Section: Introductionmentioning

confidence: 99%