针对预先未给定分布式电源(distributed generator,DG)待选接入点的DG选址定容规划,本文提出了一种以配电网运行成本最小为目标的两阶段优化规划方法：第一阶段,建立了一个基于权系数的DG选址模型,并运用有效集法进行求解,筛选出一组DG待选接入点组合；第二阶段,提出了一种动态混沌粒子群算法来求解第一阶段所得出的待选DG节点的定容问题,并将最优规划结果值返回给第一阶段,从而确定出DG最优的接入节点和接入容量。最后通过美国PG E 69节点系统验证了所提模型的可行性以及方法的有效性。
英文摘要:
In order to optimize the site and size of distributed generation in distribution systems, this paper proposes a practical two-stage approach for the sitting and sizing of DG in distribution network planning, which objective function is minimum cost for operation: In first stage, an approximate model based on weight coefficient is established to achieve a search space reduction. Then a set of candidate site of DG obtained by tackle this model through active set method. In second stage, this paper puts forward a dynamic chaotic particle swarm optimization algorithm to solve the sizing problem for candidate node, and the optimal value returns to the first stage, and finally DG’s optimal site and size is determined. The simulation result of American PG E 69 node system verified the feasibility and effectiveness of the model and method.