2026-10-14T11:45:49Z https://www.scidb.cn/oai

10.57760/sciencedb.42207 2026-07-12T15:29:20Z

2026-07-12 Dataset for the paper "Privacy-preserving Distributed Economic Dispatch for Smart Grid Based on Hybrid Information" doi:10.57760/sciencedb.42207 en With the exception of the communication topology, all data in this dataset were generated by a Matlab program running on a device equipped with a 2.60 GHz Intel Core i7 processor and 16 GB of RAM. For the images, the Matlab-generated data were first imported into Origin software for plotting, and subsequently imported into Visio for further processing; the tabular data were directly compiled into Excel files.The first figure and the first table present the communication topology and node parameters of the 7-node system, respectively. The subsequent five experiments are all based on this setup, with the convergence parameter uniformly set to 0.06.The second and third figures demonstrate the first and second experiments of the paper, respectively, demonstrating the economic dispatch process of the proposed algorithm without and with the privacy protection mechanism. The experimental procedure is as follows: the system first runs for 150 iterations in islanded mode, then switches to grid-connected mode for another 150 iterations, and this entire alternating process is repeated twice.The fourth figure corresponds to the third experiment, illustrating the economic dispatch performance of the proposed privacy-preserving algorithm in a smart grid "plug-and-play" scenario. The specific dispatch process is as follows: between iterations 0 and 800, the microgrid operates in islanded mode, during which load No. 4 is disconnected at the 301st iteration and reconnected to the system at the 501st iteration; between iterations 801 and 1600, the microgrid switches to grid-connected mode, where load No. 4 is disconnected at the 1101st iteration and reconnected for use at the 1301st iteration.The fifth and sixth figures show the fourth and fifth experiments, respectively, which verify the privacy protection effectiveness of the proposed algorithm against "honest-but-curious" nodes and "external eavesdropper" nodes. In both experiments, the initial values of generator No. 2 and load node No. 2 were altered for testing. In these figures, circles represent the results when the initial values remain unchanged, while plus signs indicate the results after the initial values are altered.The seventh figure displays the sixth experiment. The topology and parameters for this experiment are sourced from [Consensus-based energy management in smart grid with transmission losses and directed communication], aiming to validate the effectiveness of the proposed algorithm in the economic dispatch of large-scale microgrid systems.The eighth figure and the second table present the seventh experiment. This section is a comparative experiment designed to evaluate the differences in computational efficiency and convergence speed among the noise-adding algorithm, the encryption algorithm, the state decomposition algorithm, and the proposed algorithm in islanded mode.The ninth figure and the third table present the eighth experiment. This is also a comparative experiment, primarily intended to evaluate the computational efficiency and convergence speed of the state decomposition algorithm and the proposed algorithm in grid-connected mode. smart grid; distributed economic dispatch; privacy-preserving; consensus algorithm; hybrid information Zhang Yuning Xiao Songhang Fu Wenlong Hu Songlin Yue Dong EMBARGO https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank