关键词: 变电站选址定容, 地理信息, 不确定因素, 随机模糊模拟, 知识迁移

Abstract:

The description and disposition of uncertain information in the substation locating and sizing of distribution network have always been highlighted difficulties during planning. For further research on this issue, the uncertainty of load, the uncertainty of substation and line investment, as well as the uncertainty of electrovalence was considered. According to the fuzziness and randomness of uncertain factors, the technology of random fuzzy simulation was adopted to weight their influences in the model, which also considered geographic information factors, transformer loss and interruption cost. A multi-population differential cultural algorithm based on chaotic knowledge migration was presented, which designed four kinds of spatial knowledge guide evolution. And knowledge migration interval was dynamically adjusted according to evolution time. Then chaos sequence was used to deeply explore migrated units for the improvement of the validity of migrated knowledge. Finally the location case proves that the proposed model and method are correct and effective, and boast certain practical value.

Key words: substation locating and sizing, geographic information, uncertain factors, random fuzzy simulation, knowledge migration