Day-ahead Robust Dispatch of Distribution Network With Multiple Integrated Energy System-based Micro-grids

被引：0
|
作者：
Zhou D. [1 ]
Sun K. [2 ]
Zhang Q. [2 ]
Dai H. [1 ]
机构：
[1] College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang Province
[2] State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, 310014, Zhejiang Province
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2020年 / 40卷 / 14期
关键词：
Distributed modeling; Integrated energy system-based micro-grids; Interest game; Second-order cone programming; Two-stage robust optimization;
D O I：
10.13334/j.0258-8013.pcsee.190390
中图分类号：
学科分类号：
摘要：
In modern power system, the distributed renewable energy sources can be connected to the distribution network in the form of microgrid groups, which significantly reduces the impact of uncertainties on the distribution network and may be conducive to the stable operation of the distribution network. For the distribution network with multiple integrated energy system-based micro-grids, this paper taked the tie line power as the coupling parameter between the two subjects. The decentralized modeling method was employed to establish the model, and the analytical target cascading theory was employed to refine the interest game between distribution network and microgrid. Additionally, for the non-convex nonlinear optimization of distribution network, a second-order cone optimization model was constructed to ensure the global optimality of the solution. A two-stage robust optimization model was further constructed to deal with uncertainty in the integrated energy system-based microgrid. The column-and-constraint generation algorithm, strong duality theory and big-M method were introduced to solve the model with "min-max-min" structure. Finally, experiment results indicate the effectiveness of the proposed method. © 2020 Chin. Soc. for Elec. Eng.
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页码：4473 / 4485
页数：12
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