摘要
为全面反映含分布式电源的配电网重构问题,建立负荷均衡度、系统网损及电压质量协调最优的含分布式电源配电网重构优化模型,在此基础上,利用模糊理论,将含DG配电网多目标重构问题转换成单目标优化问题。鉴于传统蝙蝠群体易聚集于局部极值,导致早熟,将混沌优化以及自适应调整策略融入到蝙蝠优化算法,提出了一种改进型多目标蝙蝠优化算法,并提出利用其对含分布式电源配电网重构模型进行求解,选取IEEE-33节点配电系统进行仿真,通过算例验证所提算法的良好实用性和适应性,并且验证所提模型的实际意义。
In order to reflect distribution network reconfiguration with distributed power problem, this paper propo-ses a novel model which can deal with network loss, load balance and optimal voltage quality.Based on this, through fuzzy set theory, the multiple-objective optimization problem has been transformed to single objective .In order to overcome disadvantages that bat algorithm tends to fall into the local optimal solution, this paper uses the chaos optimization and a novel self-tuned meta-heuristic algorithm to adjust the bat algorithm parameters, and a new improved multiple-objective bat algorithm was proposed to solve distributed power distribution network reconfig-uration model.Finally, taking IEEE-33 nodes distribution network as an example, the effectiveness of the pro-posed algorithm and the actual significance of the proposed model are illustrated by experiments.
出处
《电力科学与工程》
2015年第3期52-57,共6页
Electric Power Science and Engineering
关键词
分布式电源
配电网重构
改进蝙蝠算法
模糊理论
distributed generation
distribution network reconfiguration
improved bat algorithm
fuzzy theory