基于蚁群算法的配电网络重构模型及其应用

采用一种可用于求解一般形式的非凸、非线性约束优化问题的蚁群算法,以求解配电网络重构问题。该算法运用了正反馈、分布式计算和贪婪式启发搜索,不依赖于各种初始参数,不易陷于局部最优。通过算例分析表明,与现有各种方法相比,该算法具有适应性好、计算效率高、优化效果好的优点。

Model reconfiguration of distribution network and its application based on ant colony optimization

A new versatile optimization algorith called ant colony optimization is adopted to solve distribution network reconfiguration problems.The positive feedback,distributed computation and the constructive greedy heuristic are used in the algorithm to solve the discontinuous,nonconvex,nonlinear constrained optimization problems.The algorith doesn't rely on the initial data and doesn't easily fall into the part best.The example shows that the algoithm can greatly decrease network loss,improve power quality and increase the economy and safety of power supply,and the optimization effect is better.Therefore the algorithm for this problem is versatile,robust and efficient.