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Article

Multi-Objective Optimal Planning for Distribution Network Considering the Uncertainty of PV Power and Line-Switch State

1
Electronic Information School, Wuhan University, Wuhan 430072, China
2
School of Electronics and Information Engineering, Wuhan Donghu University, Wuhan 430212, China
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(13), 4927; https://doi.org/10.3390/s22134927
Received: 18 May 2022 / Revised: 24 June 2022 / Accepted: 28 June 2022 / Published: 29 June 2022
(This article belongs to the Section Optical Sensors)
With the construction of the smart grid, the distribution network with high penetration of the photovoltaic (PV) generator relies more and more on cyber systems to achieve active control; thus, the uncertainty of PV power and the line-switch state will inevitably affect the distribution network. To avoid the situation, a min–max multi-objective two-level planning model is proposed. Firstly, the uncertainty of PV power is considered, and a multi-time PV power model is established. Followed by the analysis of the line-switch state uncertainty in the distribution network, and according to Claude Shannon’s information theory, the line-switch state uncertainty model is established under multiple scenarios. After the distribution network reconfiguration, the Latin hypercube sampling (LHS) method is used to determine the line-switch state when the uncertainty budget is different. Finally, considering the worstcase by the uncertainty of PV power and line-switch status, the control model is proposed to improve the stability of the distribution network with the minimal maintenance cost. The model feasibility is verified by the test system and the characteristics of PV power uncertainty, the line-switch state uncertainty is analyzed, and the influence of the scheduling strategy is discussed, thus providing practical technical support for the distribution network. View Full-Text
Keywords: distribution network; PV power; LHS; distribution network reconfiguration; line-switch state distribution network; PV power; LHS; distribution network reconfiguration; line-switch state
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MDPI and ACS Style

Gong, L.; Wang, X.; Tian, M.; Yao, H.; Long, J. Multi-Objective Optimal Planning for Distribution Network Considering the Uncertainty of PV Power and Line-Switch State. Sensors 2022, 22, 4927. https://doi.org/10.3390/s22134927

AMA Style

Gong L, Wang X, Tian M, Yao H, Long J. Multi-Objective Optimal Planning for Distribution Network Considering the Uncertainty of PV Power and Line-Switch State. Sensors. 2022; 22(13):4927. https://doi.org/10.3390/s22134927

Chicago/Turabian Style

Gong, Li, Xianpei Wang, Meng Tian, Hongtai Yao, and Jiachuan Long. 2022. "Multi-Objective Optimal Planning for Distribution Network Considering the Uncertainty of PV Power and Line-Switch State" Sensors 22, no. 13: 4927. https://doi.org/10.3390/s22134927

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