2024
DOI: 10.3389/fenrg.2024.1415796
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Parameter identification method of load modeling based on improved dung beetle optimizer algorithm

Chao Xing,
Xinze Xi,
Xin He
et al.

Abstract: The role of load modeling in power systems is crucial for both operational and regulatory considerations. It is essential to develop an effective and reliable method for optimizing load modeling parameter identification. In this paper, the dung beetle algorithm is improved by using the good point set, and a load model parameter identification strategy based on the good point set dung beetle optimization algorithm (GDBO) within the framework of the measurement-based load modeling method. The proposed parameter … Show more

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