A Multi-Dimensional Quantitative Evaluation of Doubly-Fed Wind Turbine Frequency Regulation Strategy Based on Entropy Weight Method

Aiming at the lack of objectivity and universality in the comprehensive performance evaluation of FM control strategy in new energy high penetration power system, this paper proposes a multi-indicator quantitative evaluation system based on entropy weight method. Firstly, an evaluation system containing five types of indicators, such as active power dynamic response, frequency pole shift, and double-fed turbine output ratio, is constructed from the dimensions of FM effect and power support; secondly, entropy weight theory is introduced to dynamically allocate weights according to the degree of dispersion of the indicator data distribution, so as to avoid subjective weighting bias; lastly, based on the threemachine, nine-node simulation system, no-attachment control, traditional VSG control, grid-type active support control, and fuzzy power control system are comparatively analyzed. Finally, based on a three-machine and nine-node simulation system, the comprehensive performance of four strategies, namely, no-attachment control, traditional VSG control, network-configuration active support control and fuzzy adaptive control, is compared and analyzed under the scenario of load surge/decrease. The results show the effectiveness and adaptability of the entropy weight method in quantitative assessment, which provides a theoretical basis for the optimization of wide-bandwidth domain FM strategies.

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