Robust Energy Management of Microgrid With Uncertain Renewable Generation and Load
Robust Energy Management of Microgrid With Uncertain Renewable Generation and Load
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DOI：
10.1109/tsg.2014.2385801
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发表时间：
2016-03
影响因子：
9.6
通讯作者：
Yue Xiang;Junyong Liu;Yilu Liu
中科院分区：
文献类型：
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作者：
Yue Xiang;Junyong Liu;Yilu Liu
提出了一种基于情景的稳健能源管理方法，该方法考虑了最坏情况下的可再生发电量和负荷。建立了以交易总成本最大，社会效益成本最小为目标的经济稳健模型。RG和负荷的不确定性被描述为区间预测产生的不确定集。然后，使用田口的正交表(OA)测试方法来提供可能的测试场景。设计了一种简单实用的基于办公自动化的搜索策略来解决优化问题。通过对最坏情况的优化，所提出的模型的能量管理解对于蒙特卡罗验证所建模的不确定集的大部分可能实现都是健壮的。对典型微电网系统的算例验证了该模型和求解策略的有效性。此外，在算例中还讨论了交易电价等参数的影响。
A scenario-based robust energy management method accounting for the worst-case amount of renewable generation (RG) and load is developed in this paper. The economic and robust model is formulated to maximize the total exchange cost while getting the minimum social benefits cost at the same time. Uncertainty of RG and load is described as an uncertain set produced by interval prediction. Then, the Taguchi's orthogonal array (OA) testing method is used to provide possible testing scenarios. A simple, but practical, search strategy based on OA is designed for solving the optimization problem. By optimizing the worst-case scenario, the energy management solution of the proposed model is robust against most of the possible realizations of the modeled uncertain set by Monte Carlo verification. Numerical cases on the typical microgrid system show the effectiveness of the model and solution strategy. In addition, the influence of exchange electricity price and other parameters are also discussed in the cases.