Abstract
Aiming at the problem that the reactive voltage sensitivity parameter of large-scale distributed wind farm is low overall, the parameter intelligent optimization design of the reactive voltage sensitivity of large-scale distributed wind farm is carried out. Firstly, design a wind farm equivalent circuit and optimize the parameters of the traditional reactive voltage sensitivity optimization model, and set the objective function to adjust the model weight coefficient. Then the bat algorithm is improved according to the parameter intelligent optimization model, and the reactive volt sensitivity parameter of the scaled distributed wind farm is intelligently optimized according to the improved bat algorithm. Finally, a simulation experiment is carried out to test the performance of intelligent optimization of reactive voltage sensitivity parameters of large-scale distributed wind farms. It is concluded that the reactive power sensitivity parameter of the large-scale distributed wind farm reactive voltage sensitivity parameter optimization is significantly higher than that of the reactive voltage sensitivity parameter optimized by the traditional reactive voltage sensitivity parameter optimization method.
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Bian, H.H., Sun, Js., Yang, X. (2021). Intelligent Optimization Design of Reactive Voltage Sensitivity Parameters for Large-Scale Distributed Wind Farms. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 348. Springer, Cham. https://doi.org/10.1007/978-3-030-67874-6_8
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