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- W4312659839 abstract "With the development of power technology, the penetration rate of different distributed resources in the distribution network continues to increase. In order to effectively reduce the impact of the high uncertainty of these distributed resources, distribution network managers need a faster and more efficient optimization method to plan the distribution network. Therefore, a new distributed algorithm-based Distribution Network Planning (DNP) method is proposed in this study. In the proposed planning method, two main parts of investment cost are comprehensively considered, construction cost and operation cost, an optimization model for distribution network planning is established and solved by the distributed Bias Min-consensus algorithm, which greatly improves the solution speed of the algorithm. Besides, k-means method is adopted to extract the set of uncertain scenarios. To evaluate the efficiency of the proposed method, a 24-node test system was used." @default.
- W4312659839 created "2023-01-05" @default.
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- W4312659839 date "2022-07-08" @default.
- W4312659839 modified "2023-10-16" @default.
- W4312659839 title "Optimal Distribution Network Planning for Massive Distributed Resources Accommodation" @default.
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- W4312659839 doi "https://doi.org/10.1109/icpsasia55496.2022.9949851" @default.
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