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- W3048191954 abstract "Topology identification (TI) is an essential problem in the distribution network due to exponentially growing power grid size in recent years. In this study, it is reformulated as a regularised alternating convex optimisation problem. Then an application based on the current injection model is proposed. Compared to the traditional algorithm optimising -norm, which may lead to overfitting, a new -norm minimisation problem with -norm regularisation is proposed to solve the trade-off problem with non-convex constraints. The proposed method reduces the size of the training data set compared with the traditional TI method. Simulation results show that the recovery performance of the proposed algorithm is superior to the traditional one in additive white Gaussian noise scenario." @default.
- W3048191954 created "2020-08-13" @default.
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- W3048191954 date "2020-08-04" @default.
- W3048191954 modified "2023-09-28" @default.
- W3048191954 title "Topology identification in distribution networks based on alternating optimisation" @default.
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- W3048191954 doi "https://doi.org/10.1049/iet-gtd.2020.0600" @default.
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