A Data-Driven Two-Stage Distributionally Robust Planning Tool for Sustainable Microgrids
A Data-Driven Two-Stage Distributionally Robust Planning Tool for Sustainable Microgrids
复制标题
数据驱动的两阶段分布式稳健可持续微电网规划工具
DOI：
10.1109/pesgm41954.2020.9281869
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Dehghan S
中科院分区：
文献类型：
--
作者：
Dehghan S
针对规划期内可再生能源（RES）负荷和发电量的不确定性，提出了一种数据驱动的两阶段分布式鲁棒规划工具，用于可持续微电网。在建议的两阶段规划工具中，第一阶段的投资变量被认为是此时此刻的决策和第二阶段的运营变量被认为是观望的决策。在实际应用中，很难得到不确定参数的真实概率分布。因此，本文提出了一个基于Wasserstein度量的模糊集来表征RES的负荷和发电量的不确定性，而无需对其真实概率分布进行任何假设。在所提出的数据驱动的模糊集，历史负荷和发电的RES的经验分布被认为是中心的Wasserstein球。由于所提出的分布式鲁棒规划工具是棘手的，它不能直接求解，对偶理论来提出一个听话的混合整数线性（MILP）对应。该模型在33节点配电网上进行了测试，并在不同条件下展示了其有效性。
This paper presents a data-driven two-stage distributionally robust planning tool for sustainable microgrids under the uncertainty of load and power generation of renewable energy sources (RES) during the planning horizon. In the proposed two-stage planning tool, the first-stage investment variables are considered as here-and-now decisions and the second-stage operation variables are considered as wait-and-see decisions. In practice, it is hard to obtain the true probability distribution of the uncertain parameters. Therefore, a Wasserstein metric-based ambiguity set is presented in this paper to characterize the uncertainty of load and power generation of RES without any presumption on their true probability distributions. In the proposed data-driven ambiguity set, the empirical distributions of historical load and power generation of RES are considered as the center of the Wasserstein ball. Since the proposed distributionally robust planning tool is intractable and it cannot be solved directly, duality theory is used to come up with a tractable mixed-integer linear (MILP) counterpart. The proposed model is tested on a 33-bus distribution network and its effectiveness is showcased under different conditions.
DOI：
10.1016/j.orl.2018.01.011
发表时间：
2018-03
期刊：
Oper. Res. Lett.
影响因子：
--
作者：
Chaoyue Zhao;Yongpei Guan
通讯作者：
Chaoyue Zhao;Yongpei Guan
影响因子：
2.7
作者：
Hanasusanto, Grani A.;Kuhn, Daniel
通讯作者：
Kuhn, Daniel
一种用于发电公司自我调度的新型混合随机鲁棒优化方法
DOI：
--
发表时间：
2016
期刊：
影响因子：
--
作者：
S. Dehghan;N. Amjady;Behdad Vatani;H. Zareipour
通讯作者：
H. Zareipour