基于萤火虫-变邻域搜索算法的含分布式电源配电网重构

为全面的反映含分布式电源配电网重构的问题,本文建立网系统网损、负荷均衡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,能够比较实际、科学的反映配电网网络结构调整问题。在此基础上,应用自适应权重系数法,明确各目标函数的权重组合方案,将含DG配电网多目标重构问题转换成单目标优化问题。鉴于传统萤火虫算法具有容易早熟、过度依赖控制参数的缺陷,提出了FA算法与变邻域搜索相结合的混合优化算法,并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。

Distribution Network Reconfiguration with Distributed Generation Based on Firefly Algorithm Optimization and Variable Neighborhood Search

In order to solve the limitation due to single index of the distribution network reconfiguration considering just a single indicator. this paper proposes a novel model which can deal with network loss, load balance and optimal voltage quality. The Adaptive weight coefficient method analysis is employed to determine the appropriate weights among the three objective functions, and in this way the multi-objective optimization problem is transformed into a single-objective programming one. In terms of the defects of traditional firefly algorithm, which is easily be premature, slow speed of convergence, this paper proposes a new method that can improve multi-objective firefly algorithm. Combining firefly algorithm.（FA） with variable neighborhood search（VNS）, Finally, the effectiveness of the proposed algorithm are illustrated by experiments.