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中文摘要：
构建多目标配网重构模型,该模型充分考虑了风电出力、光伏发电以及负荷的不确定性,并且同时优化配网的3个重要评估指标：有功损耗、节点最小电压值、负荷均衡度。采用场景分析法处理不确定性因素,采用同步回代缩减法进行场景削减,讨论不同场景数对优化结果的影响,并利用多目标扰动生物地理学算法求解模型,利用模糊集理论确定最终重构方案。某69节点配网系统测试结果表明：所用算法能够快速找到多目标配网重构模型的决策解,具有较高的搜索效率,验证了在消纳分布式电源的情况下,通过网络重构能够明显改善网络的各项指标。
英文摘要：
A multi-objective distribution network reconfiguration model is built,which fully considers theuncertainties of wind power,photovoltaic generation and load,as well as simultaneously optimizes threeimportant assessment indicators of distribution power system,i.e, power loss,nodal voltage minimum and loadbalancing degree. The scenario analysis method is adopted to deal with the uncertain factors and thesimultaneous backward reduction method is used to reduce the scenario number. The impact of scenarionumber on the reconfiguration results is discussed. The MDBBO（Multi-objective Disturbance Biogeography-Based Optimization） algorithm is applied to solve the model and the fuzzy set theory is used to obtain thefinal reconfiguration scheme. The test results for a 69-bus distribution network show that,the proposedalgorithm has higher searching efficiency to quickly find the solution of reconfiguration model and thedistribution network indexes are improved by the network reconfiguration to accommodate the distributedgenerations.
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