基于Benders分解的独立型微电网鲁棒优化容量配置模型

发布时间：2018-06-02 19:47

  本文选题：微电网(微网) + 优化配置　； 参考：《电力系统自动化》2017年21期

【摘要】：为了提高独立型微电网电源优化配置的鲁棒性,综合考虑了风、光和负荷的间歇性和随机性,建立了独立型微电网的双层鲁棒优化容量配置模型。外层为初始投资费用主问题,内层为基于风、光和负荷不确定集的运行优化子问题。采用对偶的方法对子问题进行解耦,利用大M法将其线性化,并通过Benders分解的方法将主子问题进行交互迭代,直至经济成本达到最优。在算例中将该方法与改进的非支配排序遗传算法(NSGA-Ⅱ)进行对比,结果表明所提模型的鲁棒性更好,求解效率更高,验证了模型的合理性和有效性。
[Abstract]:In order to improve the robustness of optimal configuration of power supply in independent microgrid, considering the intermittence and randomness of wind, light and load, a bilevel robust capacity allocation model of independent microgrid is established. The outer layer is the main problem of the initial investment cost, and the inner layer is the operation optimization subproblem based on the wind, light and load uncertainty sets. The dual method is used to decouple the subproblem, the large M method is used to linearize it, and the main subproblem is iterated interactively by the Benders decomposition method until the economic cost is optimal. The results show that the proposed model is more robust and efficient, and the rationality and validity of the proposed model are verified by comparing the proposed method with the improved non-dominated sorting genetic algorithm (NSGA- 鈪，

本文编号：1969970