基于改进萤火虫算法的分布式电源优化配置

在分析分布式电源特性的基础上，建立了含分布式电源的购电成本最小、网损费用最小、投资成本最小以及电压稳定裕度最大的多目标优化模型，能够比较实际、科学地反映DG规划布局。在此基础上，应用超效率数据包分析评价方法，明确各目标函数的权重组合方案，将DG多目标规划问题转换成单目标规划问题。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，将混沌搜索策略和全局思想融入到萤火虫算法，提出了一种改进型萤火虫算法；并将其应用于解决分布式电源的规划问题。通过算例验证所提算法具有良好的实用性和适应性，并且也验证了所提模型的实际意义。

Optimal power flow of distribution network with distributed generation based on modified firefly algorithm

Based on the detailed analysis on peculiarity of DG, this paper establishes a multi-objective optimal model with DG by minimizing the electricity purchase costs, power loss and investment costs and maximizing voltage stability margin, which can reflect the DG planning layout practically and scientifically. On the basis, the super-efficiency data envelopment 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 premature, has slow speed of convergence, and excessively relys on control parameters, this paper proposes a modified firefly method by introducing chaos search strategy and overall thought into firefly algorithm and applies it to solve the DG planning problem. Finally, the practicality and adaptibility of the proposed algorithm are illustrated by experiments.