基于改进ECSA算法的机载储能系统方案

Airborne energy storage system scheme based on improved ECSA algorithm

在机载直流配电网加改装储能系统过程中,需要考虑到系统内部蓄电池与储能电容的匹配.采用快速傅里叶变换(FFT)算法对蓄电池以及储能电容进行功率分配,构造出各自等效电路模型,并通过引入功率增强因子γ对其联合供电特性进行分析.以蓄电池与超级电容的初始安装费用、质量以及后期维护换件成本建立多目标优化数学模型,采用改进带精英策略的布谷鸟搜索算法(ECSA)对蓄电池与超级电容的匹配方案进行选取,得到满足系统约束的最优匹配方案,验证了该算法在方案选取中的有效性.

In the process of adding the energy storage system onto the airborne DC distribution network,the matching schemes between the internal battery and the energy storage capacitor need to be considered.The fast Fourier transform(FFT) algorithm was used to allocate electrical load power to the battery and the storage capacitor to construct the equivalent circuit model,and the power enhancement factor γ was introduced to analyze the joint power supply characteristics.The multi-objective optimization mathematical model was established with the initial installation cost,system weight and maintenance and replacement cost of the battery and supercapacitor,and the matching schemes of the battery and supercapacitor were selected by using the improved ECSA algorithm with elite strategy to obtain the optimal configuration scheme that satisfied system constraints,and the effectiveness of the algorithm in scheme selection was verified.