中文摘要：

考虑分布式风电源（DiStributedWindGenerator，DWG）出力的随机性以及负荷预测的不确定性，采用机会约束规划建立了含DWG的配电网网架规划模型。模型以年综合费最小和DWG公共连接点（PointofCommonCoupling，PCC）处电压闪变水平最小为优化目标。采用基于MonteCarlo模拟的概率潮流判断规划方案是否满足节点龟压约束和支路功率约束。将基于树形结构编码的单亲遗传算法（TreeStructureEncodingPartheno—Genetichlgorithm，TSE—PGA）应用到模型的求解中。基于17节点系统的仿真结果说明了规划模型的合理性以及算法的有效性。

英文摘要：

Considering the intermittency of the distributed wind generators （DWG） that are connected to distributed system as well as the uncertainty of the load forecast, a planning model based on the chance constrained programming （CCP） is proposed, in which the planning objective is to minimize the annual comprehensive cost and the flicker level of the point of common coupling （PCC） of DWG. The probabilistic power flow based on the Monte Carlo simulation is applied to judge whether the planning scheme satisfies the constraints of both the node voltage operation range and the transmission capacities of branches. The tree structure encoding partheno-genetic algorithm （TSE-PGA） is employed to solve the optimal planning model. The feasibility of the model and the effectiveness of the TSE-PGA are justified by an example of a l 7-bus distribution system.