不确定环境下配电网变电站选址定容

Substation Locating and Sizing for Distribution Network in Uncertain Environment

配电网变电站选址定容问题中不确定信息的描述和处理是规划的突出难点,重点考虑负荷不确定性、变电站造价和线路造价不确定性以及电价不确定性对该问题的影响。针对不确定因素的模糊性和随机性,采用随机模糊模拟技术将其影响计入模型。模型中同时考虑了地理信息因子、变压器损耗和停电损失费用。提出基于混沌迁移知识的差分文化算法,设计4种空间知识引导变异操作,并根据进化代数动态调整知识迁移间隔,利用混沌序列对迁移单元进行深入探索,以提高迁移知识的有效性。最后选址实例证明了所提出的模型和方法是正确有效的,具有一定的实用价值。

： 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.