基于细菌群体趋药性算法的可用输电能力计算

Study of Available Transfer Capability Based on Bacter Colony Chematoxis

构建了基于最优潮流模型的可用输电能力(Available Transfer Capability)ATC计算模型,并采用细菌群体趋药性算法对该模型进行求解。为简化n维变量寻优问题,将n维空间的求解问题化简为(n-1)个二维空间问题进行求解,并给出了新的求解此二维空间的表达式;根据ATC求解特点,引入自适应步长,对步长和方向进行自适应调整;针对寻优过程中的最优值,引入公告板,将最优值暂存在公告板内,避免最优值随机抛弃。该算法不仅提高了ATC求解的运算速度,同时保证了算法在ATC计算过程中的全局搜索能力。IEEE-30节点系统的仿真结果验证了其有效性和合理性。

The BCC algorithm was employed to solve the ATC problem which based on OPF model.The optimization of n-dimensional problem was simplified as the optimization of n-1 sub-problems of 2-dimension by presenting the new formulation.As for the searching characteristic of a cell and colony,the author introduced self-adaptive step strategy.the strategy automatically adjusted the step length and the direction of bacterium;The bullitn can remain the best direction of bacter which may be abandened at randen.These strategies above improved the convergence speed and the capability of searching the global minimum.A case study of IEEE 30-bus test system demonstrated the validity of this proposed algorithm.