一种引入熵函数进行组合赋权的直流落点选择方法

DC-link location selection by combination weighting based on entropy function

将一种考虑权本身随机性的组合赋权方法应用于直流落点选择目标函数的权系数求解。该组合赋权方法通过引入熵函数来同时考虑权本身具有的随机性以及权向量之间的一致性要求,建立约束非线性优化模型,并利用改进的粒子群优化算法进行求解,将得到更具合理性的组合结果,为直流落点选择建立更可靠的目标函数。将所建立的目标函数与其他目标函数的平均差异度进行比较,结果表明该直流落点选择方法有效且相较其他方法更为合理。

A combination weighting approach is proposed to solve the weight coefficients of the objective function for the selection of DC-link location,which adopts the entropy function to consider both the randomness of weights and the consistency among weight vectors,constructs a constrained nonlinear model and applies the improved particle swarm optimization algorithm to solve it,resulting in a more reasonable weight combination and a more reliable objective function. Comparison of the average difference between the proposed and other objective functions shows that,the proposed approach for the selection of DC-link location is effective and more reasonable.