A Distributed Operation Optimization Model for AC/DC Hybrid Distribution Network Considering Wind Power Uncertainty

被引：0

作者：

Wang J. ^{[1
]}

Gao H. ^{[1
]}

Liu Y. ^{[1
]}

Liu J. ^{[1
]}

Yuan X. ^{[2
]}

He S. ^{[1
]}

机构：

[1] College of Electrical Engineering, Sichuan University, Chengdu, 610065, Sichuan Province

[2] Jiangsu Electric Power Research Institute Co. Ltd., Nanjing, 211100, Jiangsu Province

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2020年 / 40卷 / 02期

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

AC/DC hybrid distribution network; Distributed optimization; Distributionally robust; Economic operation;

D O I：

10.13334/j.0258-8013.pcsee.182116

中图分类号：

学科分类号：

摘要：

AC/DC hybrid distribution network is an important form of distribution network in the future. It possesses significant partition characteristics, and a large number of uncertain distributed generators (such as wind power, etc.) access to distribution network which takes challenges to economic operation of distribution network. A distributed optimization model of AC/DC hybrid active distribution network considering the uncertainties of wind power was proposed. The proposed model takes the minimum of purchasing and selling cost from the high voltage network, exchange power cost between AC and DC sub-networks, cost of curtailed wind power and micro turbine generation cost as optimization objectives. The 1-norm and ∞-norm were both used to constrain the uncertainties of probability distribution of the selected typical scenarios. A two-stage distributionally robust model based on data-driven method was come up with and solved by column and constraint generation (CCG) algorithm. Voltage source converter (VSC) was used to coordinate AC and DC sub-networks by exchanging power. Then the alternating direction method of multipliers (ADMM) was used to solve the distributed optimization for the power balance of the sub-networks in the whole system. Finally, the effectiveness of distributed optimization and distributionally robust method was proved. © 2020 Chin. Soc. for Elec. Eng.

引用

页码：550 / 562

页数：12

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