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- W4290997063 abstract "Abstract Nowadays, with the increasing penetration rate of wind turbine generators (WTGs) in power distribution networks, possible network‐related problems should be considered. Distribution network reconfiguration (DNR) can reduce the effect of wind power curtailment by transferring loads to the other feeders and compensating for wind forecast error. In this paper, a two‐stage policy is presented to deal with the network configuration and wind power uncertainty. In the first stage, the scheduled output of WTGs is determined, and the wind power uncertainty is modeled using a scenario‐based approach. In the second stage, a modified firework (MFW) algorithm is considered for the network reconfiguration to minimize the network losses. In the MFW algorithm, a new local search method is implemented to enhance the performance of the FW algorithm by increasing the direction of the explosion. The impact of wind power curtailment in the network operation is minimized using the proposed policy that changes the network configuration. The proposed methodology is tested on a 70‐bus IEEE distribution test system. The simulation results demonstrate the efficiency of the proposed algorithm in solving the DNR problem in the presence of WTGs, considering the uncertainty of wind speed." @default.
- W4290997063 created "2022-08-13" @default.
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- W4290997063 date "2022-08-10" @default.
- W4290997063 modified "2023-10-12" @default.
- W4290997063 title "Distribution network reconfiguration for minimizing impact of wind power curtailment on the network losses: A two‐stage stochastic optimization algorithm" @default.
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- W4290997063 doi "https://doi.org/10.1002/ese3.1278" @default.
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