稳健优化
稳健性(进化)
计算机科学
数据库事务
数学优化
最优化问题
可再生能源
交易成本
约束(计算机辅助设计)
分布式计算
工程类
经济
数学
微观经济学
算法
数据库
电气工程
基因
机械工程
化学
生物化学
作者
Luhao Wang,Qiqiang Li,Xingong Cheng,Guixiong He,Guanguan Li,Rui Wang
标识
DOI:10.1016/j.egypro.2019.01.060
摘要
In order to alleviate the risk of energy transactions in networked microgrids (MGs) under uncertainties, such as renewable energy and transaction prices, a risk-averse energy transaction approach is proposed based on robust optimization. A systematic combinatorial optimization is applied to model energy exchanges among MGs, and then a two-stage robust optimization model for energy transactions is formulated to optimize the joint operation of networked MGs. Furthermore, the proposed model can be effectively solved by column-and-constraint generation (C&CG) algorithm. Under different budgets of price uncertainty, the results show the proposed approach can not only achieve the optimal operational cost of networked MGs, but also ensure the robustness of energy transactions among MGs.
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