Research on Parameter Identification for Primary Frequency Regulation of Steam Turbine Based on Improved Bayesian Optimization-Whale Optimization Algorithm

To address the problems of local optima and insufficient convergence accuracy in parameter identification of primary frequency regulation (PFR) for steam turbines, this paper proposed a hybrid identification method that integrated an Improved Bayesian Optimization (IBO) algorithm and an Improved Wha...

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主要な著者:	Wei Li, Weizhen Hou, Siyuan Wen, Yang Jiang, Jiaming Sun, Chengbing He
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-10-01
シリーズ:	Energies
主題:	steam turbine primary frequency regulation (PFR) Improved Bayesian Optimization (IBO) Improved Whale Optimization Algorithm (IWOA) parameter identification
オンライン･アクセス:	https://www.mdpi.com/1996-1073/18/21/5685
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