Abstract
Reliability evaluation of active distribution network for distributed generation (DG) is a hot topic. Due to the uncertainty of DG, the radial network structure of the traditional distribution network has changed, and the system control strategy has become more complicated. Aiming at the problem between the calculation accuracy and speed of the Sequential Monte Carlo method (SMC), this paper propose an improved SMC method. Firstly, a structural hierarchical model has be added to the topology of the active distribution network, which can simulate the grid operation indicators with a tree structure; Secondly, this paper adopts the sampling method based on state transition, only sampling at the simulation point of state transition, which can improve the sampling efficiency to a certain extent; Finally, compared with traditional SMC method, the calculation time of our method is reduced by nearly half, and the error rate is reduced by more than 3 times, which proves the effectiveness of the algorithm used in this paper.
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Acknowledgements
Special thanks are given to State Grid science and technology project [Title: Research and System Development of Power Quality Monitoring and Power Supply Reliability Evaluation of Active Distribution Network of Jilin Electric Power Research Institute Co. Ltd. Grant Number: JLDKYGSWWFW202106012], which offer grants to sponsor this project.
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Guanqun, Z., Yifu, Z., Yu, Z., Qiankun, H., Wenqi, H., Haifeng, Z. (2022). Reliability Evaluation of Active Distribution Network Based on Improved Sequential Monte Carlo Algorithm. In: Dang, N.H.T., Zhang, YD., Tavares, J.M.R.S., Chen, BH. (eds) Artificial Intelligence in Data and Big Data Processing. ICABDE 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 124. Springer, Cham. https://doi.org/10.1007/978-3-030-97610-1_47
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DOI: https://doi.org/10.1007/978-3-030-97610-1_47
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