基于环网编码和混合智能优化算法的配电网重构

Reconfiguration of Distribution Network Based on Loop Encoding and Hybrid Intelligent Algorithm

针对配电网重构中基本遗传算法的编码效率低及单一智能算法存在的问题,提出了一种基于环网的编码方案及将克隆遗传和蚁群算法进行融合的混合算法。该方法利用基于环网编码的克隆遗传算法的随机搜索能力强、编码效率高等特点形成蚁群算法的初始信息素分布,依靠蚂蚁算法的并行性、正反馈机制和全局收敛能力进行求解。以含分布式电源的IEEE33节点系统为算例进行验证,实验结果证明了环网编码和混合智能优化算法在配电网重构中的有效性。

In order to overcome the drawbacks of the basic genetic algorithm and single intelligent algorithm, a hybrid algorithm using the loop encoding model is proposed by com- bining with the clone genetic and ant colony algorithm. Tak- ing advantage of the strong random searching ability and high coding efficiency of clone genetic algorithm and loop encoding, initial pheromone distribution of ant colony algo- rithm is obtained. Then, the problem is solved based on the parallelism, positive feedback mechanism and global conver- gence ability of ant colony algorithm. The effectiveness of proposed algorithm is verified by simulation results from test case on IEEE 33-buse system with distributed generations.