黑龙江科技大学电气与控制工程学院
纸质出版:2025
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苏勋文, 张旭瑞, 张文硕, 等. 改进的鱼鹰优化算法在光伏组件参数辨识中的应用[J]. 黑龙江电力, 2025,47(2):95-101.
苏勋文, 张旭瑞, 张文硕, et al. 改进的鱼鹰优化算法在光伏组件参数辨识中的应用[J]. 2025, 47(2): 95-101.
苏勋文, 张旭瑞, 张文硕, 等. 改进的鱼鹰优化算法在光伏组件参数辨识中的应用[J]. 黑龙江电力, 2025,47(2):95-101. DOI: 10.13625/j.cnki.hljep.2025.02.001.
苏勋文, 张旭瑞, 张文硕, et al. 改进的鱼鹰优化算法在光伏组件参数辨识中的应用[J]. 2025, 47(2): 95-101. DOI: 10.13625/j.cnki.hljep.2025.02.001.
光伏组件各项参数对于光伏发电系统有着重要的影响,为提高光伏组件参数辨识的辨识精度及辨识速度,提出一种元启发式算法即改进的鱼鹰优化算法(IOOA)
用于光伏组件参数辨识。通过引入向最差解靠近的影响因子以及Logistic混沌映射机制,从而对鱼鹰优化算法(OOA)的搜索空间及移动机制进行改进,增强了该算法的搜索能力、跳出局部收敛的能力,并改善了收敛速度。在光伏组件Photowatt PWP 201参数辨识的应用中与其他五种元启发式算法比较,在收敛精度与收敛速度上均优于其他五种算法。在光伏组件Shell-Module SM55的应用中,验证了IOOA在不同工况下光伏组件参数辨识的有效性及适用性。
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