一种带有进化矩阵选择操作的准同类转化演化算法,用于对质子交换膜燃料电池的参数估计
Mohammad Aljaidi1, Pradeep Jangir2,3,4,5, Sunilkumar P Agrawal6
1Department of Computer Science, Faculty of Information Technology, Zarqa University, Zarqa, 13110, Jordan. mjaidi@zu.edu.jo.
Scientific reports
|January 10, 2025
概括
一个新的QUATRE-EMS算法优化了质子交换膜燃料电池 (PEMFC) 的参数,大大减少了错误和运行时间. 这一进步提高了电力系统的PEMFC准确性和效率.
科学领域:
- 电化学能量的转换和储存.
- 可再生能源系统和电力管理.
背景情况:
- 质子交换膜燃料电池 (PEMFC) 提供低排放,可靠的发电作为柴油系统的替代品.
- 优化PEMFC参数是复杂的,因为非线性模型,阻碍高效的性能.
- 准确的PEMFC建模对于其在备用电源和电网稳定中的应用至关重要.
研究的目的:
- 引入一种新型的优化算法,即 QUasi-Affine TRansformation Evolution with Evolution Matrix and Selection (QUATRE-EMS),用于PEMFC参数的确定. 这是一个非常简单的方法.
- 为了提高PEMFC堆性能预测的准确性和效率.
- 通过现有的优化算法验证 QUATRE-EMS 的有效性.
主要方法:
- 开发和应用QUATRE-EMS算法以优化各种PEMFC堆引用中的不确定参数.
- 将优化目标函数定义为实际和预测电压数据之间的二次误差 (SSE) 的和.
- 对QUATRE-EMS与最先进的差异性进化变体 (LSHADE,MadDE,CS-DE等) 的比较分析. 使用统计指标.使用统计指标.
主要成果:
- 四个EMS实现了0.078492的明显较低的平均SSE,比现有算法高出15%.
- 该算法在准确度上得到了高达20%的改进,平均绝对误差,相对误差和平均偏差误差最低.
- 与其他方法相比,QUATRE-EMS表现出卓越的计算效率,运行时间减少了50%.
结论:
- 在优化PEMFC堆参数方面,QUATRE-EMS算法非常有效和实用.
- 这种方法显著提高了对各种PEMFC堆引用 (例如,BCS500W,NedStackPS6,SR12) 的预测性能的准确性.
- 四方-EMS提供了一种计算效率高的解决方案,用于改进电力系统中的PEMFC建模和应用.
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