中文摘要：

针对分布式风电源出力不确定性的特点，提出一种新的规划方法。首先，引入场景发生概率的决策理论，并DWG投资成本、运行和维护成本、年电能损耗费用最小为目标函数，建立了DWG规划的优化模型；接着在粒子群优化算法上引入基于Tent映射的混沌初始化，以提高收敛速度和寻优精度；同时引入时变权重因子及混沌扰动机制，增强种群多样性以提高全局搜索能力；最后对IEEE-33节点配电网系统进行仿真分析，结果表明该优化方法能很好地解决出力不确定的DWG规划问题。

英文摘要：

In the light of the characteristics of distributed wind generation output uncertainty,a new planning approach is proposed. Firstly,scenario probability decision theory is introduced. Taking the minimum of investment cost, operation and maintenance eosl, annual power loss of DWG as objective function, the optimization model of DWG planning is set up. Then chaos initialization based on Tent map is introduced into particle swarm optimization algorithm to improve convergence rate and optimizing accuracy. At the same time, time varying weight factor and chaos disturbance mechanism are led to enhance the diversity of the population and improve the global search capability. Finally,the IEEE-33 bus distribution network is used to simulate and analyze, The results show that the optimization method can solve the planning problem of DWG output uncertainty effectively.