Improved Ant Algorithm Combined with Ecological Theory for Urban Power System Planning

We presents a new algorithm for urban power system planning. The new algorithm combines an improved ant algorithm with ecological theory and transforms the urban power system-planning problem into an ecosystem optimization problem. The substation is regarded as an ant nest and the load point is regarded as food in the algorithm presented in this paper. It can simultaneously optimize the substation´s size, position, service region and the structure of power network by imitating ecosystem evolvement. The result of calculation shows that the structure of power network is radial, and needs no inspection. Therefore it is easier to be programmed. An example shows that the algorithm is efficient.