主动管理模式下分布式风电源规划

提出主动管理模式下基于双层规划的分布式风电源选址定容规划模型，以分布式风电源的净收益期望值最大作为上层规划目标，以满足节点电压和支路潮流约束下风电源出力切除量期望值最小作为下层规划目标，考虑主动电压管理在改善节点电压和支路潮流方面的积极作用，提出模拟植物生长算法与概率最优潮流算法相结合的求解方法．33节点配电系统规划结果验证了规划模型的合理性和求解算法的有效性．

Siting and sizing of distributed wind generation under active management mode

A novel bi-level programming model for siting and sizing of distributed wind generation （DWG） under active management（AM） mode is put forward in this paper, which breaks the ＂fit and forget＂ installation policy of distributed generation in the passive distribution network. The model takes the maximum expectation of DWG net benefit as the upper level program objective, and takes the minimum expectation of generation curtailment as the lower level program objective. The impact of active voltage management algorithm on improvement of branch power flow and node voltage is taken into account. The plant growth simulation algorithm （PGSA） combined with probabilistic optimal power flow （POPF） algorithm is employed to solve the optimal planning of DWG under AM mode. The case studies have been carried out on a 33-node distribution network, and the results verify the effectiveness of the proposed method.