摘要
电力环网中超导故障限流器(SFCL)的优化配置需兼顾局部最优与全局最优之间的矛盾,研究满足收敛性和多样性要求的SFCL优化配置方法。针对现有方法遇到的局部与全局优化、单目标与多目标优化之间的矛盾,综合考虑电力环网内各条线路和全网对优化配置的要求,定义线路灵敏度系数指标,建立基于该指标的SFCL优化配置模型,详细研究了该模型的多目标分布估计算法的具体配置过程,提出一种基于细菌觅食行为的多目标分布估计算法(MEDA-BF)的SFCL优化配置方法。运用评价算法优化性能的收敛性和多样性指标进行算法性能的评估,所提方法的两个指标的均值和方差均小于现有方法,具有更快、更稳定的收敛性。对IEEE-30节点系统进行仿真,并与现有方法进行对比分析,所提方法使SFCL优化配置的目标函数更快速稳定地收敛到最配置目标,在实际配置SFCL方面优于现有方法。
Optimal allocation superconducting fault current limiter( SFCL) in ring power system needed to balance the local optimum and the global optimum,researched to meet the requirements of convergence and diversity of optimal allocation SFCL. First of all,this paper defined the branch sensitivity coefficient index and put forward the model of optimal allocation of SFCL based on the index. Then,it used a multi-objective distribution estimation algorithm based on bacterial foraging( MEDA-BF) to optimization allocation SFCL and used the convergence and diversity index to evaluation the optimization performance of the algorithm. At last,it conducted simulation on the IEEE-30 nodes system and compared the results with existing methods. Results show that the method is better than the existing methods.
引文
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