Distributed Robust Optimal Dispatch in Active Distribution Networks

被引：0

作者：

Liang J. ^{[1
]}

Lin S. ^{[1
]}

Liu M. ^{[1
]}

Song Y. ^{[1
]}

Fan G. ^{[1
]}

He S. ^{[1
]}

Jiang H. ^{[1
]}

机构：

[1] School of Electric Power Engineering, South China University of Technology, Guangzhou, 510640, Guangdong Province

来源：

Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 04期

基金：

广东省自然科学基金;

关键词：

Active distribution network; Alternating direction method of multiplier; Distributed optimal dispatch; Linearized power flow; Robust optimization;

D O I：

10.13335/j.1000-3673.pst.2018.1375

中图分类号：

学科分类号：

摘要：

With increasing penetration of distributed generators, uncertainty of distribution network operation increases. Moreover, distributed generators and distribution network often belong to different stakeholders. The centralized deterministic optimal dispatch method can no longer meet the actual operational requirements of active distribution network (ADN). Considering the uncertainty of renewable energy output, a distributed robust optimal dispatch model for ADN is established. Firstly, the AC power flow equation is linearized, so the approximate linear relationship between node voltage and injection power is obtained, and the approximate linear expression of node voltage security and line current security constraint is derived. Secondly, by using dual optimization theory, the robust optimal dispatch model is transformed into a quadratic programming model without uncertain variables. Then, the quadratic programming model is separated into sub-optimal problems of the distribution network side and the controllable resource side, and the sub-optimal problems are solved in a distributed way using alternate directional multiplier method. Finally, with the case study of modified IEEE33-bus system, correctness and effectiveness of the proposed method are verified. © 2019, Power System Technology Press. All right reserved.

引用

页码：1336 / 1344

页数：8

共 15 条

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