Improved Bacterial Colony Chemotaxis Algorithm and its Application in Available Transfer Capability

This paper presents an improved bacterial colony chemotaxis (IBCC) algorithm based on BCC. In this paper, the optimization of n-dimensional problem is 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, self-adaptive adjustment error parameter strategy is introduced. The strategy automatically adjusts the step length and the direction of bacterium; the employment of bulletin can remain the best direction of bacterium which may be abandoned at random. These strategies above improve the convergence speed and the capability of searching for the global optimum. Two test functions show IBCC algorithm a kind of potentially powerful optimization method. Finally, the IBCC algorithm is employed to solve the available transfer capability (ATC) problem. A case study of IEEE 30-bus test system demonstrated the validity of this proposed algorithm.