Study on visualization of distribution topology based on intelligent algorithms

In order to solve the complicated problems about visualization of distribution topology structure, this paper proposes an automatic generation method consisted of several intelligent algorithms. Both layout and wiring are two main problems during the process of visualization. The gravitation-repulsion model is applied to optimize the substation nodes layout which can make the nodes of distribution more uniform in a given area. The gravitation between them will pull them to each other when the distance between two connected nodes is below a threshold. And each node suffers repulsions which push it away from the others if their positions are too close. An empirical approach is used to wire, which effectively reduces the crossing and avoids overlapping of the lines. Results of calculation show that the method proposed in this paper is effective and practical.