Research on the Impact of Power Electronics in New Distribution Networks

Authors

  • Zitong Feng

DOI:

https://doi.org/10.54097/1b1mxy54

Keywords:

new distribution network, voltage disturbance, light intensity, improved inverter.

Abstract

With the massively distributed energy sources such as solar photovoltaics integrated into the power distribution network, the new generation of distribution systems exhibits significant features such as randomness and volatility. For this, it is necessary to study how to reduce the voltage disturbance of the new distribution system. The relevant research is carried out on the perception of the time distribution of voltage disturbance in the active distribution network and an equivalent circuit model of a new power distribution system is constructed in this paper. Using MATLAB to simulate the voltage disturbance caused by the output voltage of the solar panel after receiving different intensities of sunlight, and improve the relevant circuits. From this to the study voltage perturbations over time, and the regularity of the influence of improved voltage disturbance on the voltage of the node. Finally get the impact that power electronics can have on the distribution network.

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References

Cai K, Cao W, Aarniovuori L, et al. Classification of power quality disturbances using Wigner-Ville distribution and deep convolutional neural networks. IEEE Access, 2019, 7: 119099-119109.

Munia T T K, Aviyente S. Comparison of wavelet and rid-rihaczek based methods for phase-amplitude coupling. IEEE Signal Processing Letters, 2019, 26(12): 1897-1901.

Munia T T K, Aviyente S. Multivariate analysis of bivariate phase-amplitude coupling in EEG data using tensor robust PCA. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29: 1268-1279.

Li T, Ledwich G, Mishra Y, et al. Wave aspect of power system transient stability—Part I: Finite approximation. IEEE Transactions on Power Systems, 2016, 32(4): 2493-2500.

Li T, Ledwich G, Mishra Y, et al. Wave aspect of power system transient stability—Part II: Control implications. IEEE Transactions on Power Systems, 2016, 32(4): 2501-2508.

Dusabimana E, Yoon S G. A survey on the micro-phasor measurement unit in distribution networks. Electronics, 2020, 9(2): 305.

Yusuff A A. Voltage stability index based on standard deviation-mean ratio for identification of weak nodes. 2017 IEEE AFRICON. IEEE, 2017: 1255-1259.

Kumar L, Raw B K, Gupta S K, et al. Voltage stability enhancement using shunt devices and identification of weak bus through voltage stability indices. 2019 4th international conference on recent trends on electronics, information, communication & technology (RTEICT). IEEE, 2019: 247-251.

Yusuff A A, Mosetlhe T C, Ayodele T R. Statistical method for identification of weak nodes in power system based on voltage magnitude deviation. Electric Power Systems Research, 2021, 200: 107464.

Sekhane H, Labed D. Identification of the weakest buses to facilitate the search for optimal placement of var sources using “Kessel and Glavitch” Index. Journal of Electrical Engineering & Technology, 2019, 14: 1473-1483.

Zhang Tiance, Wang Jianxiao, Li Geng-yin, et al. Spatial and temporal distribution sensing method of distribution voltage for high proportion new energy access. Automation of Electric Power Systems, 2021, 45(02): 37-45.

Ye Pingfeng, Han Xueshan, Yu Yixiao, et al. Thevenin Equivalence of PQ perturbation Decomposition for Power Grids. Proceedings of the CSEE, 2022, 42(09): 3239-3250.

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Published

19-08-2024