Affine arithmetic-based power flow algorithm considering uncertainty for hybrid AC/DC grids incorporating VSCs

被引:6
|
作者
Lu, Fang [1 ]
Du, Pingjing [2 ]
Liu, Hongda [1 ]
Liu, Fanming [1 ]
机构
[1] Harbin Engn Univ, Coll Automat, Harbin, Heilongjiang, Peoples R China
[2] Shandong Univ, Elect Engn Dept, Jinan, Shandong, Peoples R China
关键词
AC-DC power convertors; Monte Carlo methods; load flow control; power grids; voltage-source convertors; hybrid AC; DC grids; energy generation; traditional deterministic power flow equations; affine arithmetic-based uncertainty power flow algorithm; power flow iterations; power system operators; load demand variation; voltage source converters; VSC station; diverse VSC control modes; AA-based uncertainty power flow algorithm; power flow iteration; Monte-Carlo method; PROBABILISTIC LOAD FLOW; SYSTEMS; HVDC; MODEL;
D O I
10.1049/iet-gtd.2018.6095
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The randomness of new energy generation and variation in load demands bring uncertainty to large AC/DC grids. Traditional deterministic power flow equations have difficulty coping with the uncertainties of new energy generation and load. Here, an affine arithmetic (AA)-based uncertainty power flow algorithm for hybrid AC/DC grids incorporating voltage source converters (VSCs) is presented. VSC station and DC grid models are established using AA. Diverse VSC control modes are considered in the power flow iterations. A comparison using the Monte-Carlo method shows that the proposed algorithm is able to obtain a feasible solution. The proposed method can be used by power system operators and planners to monitor and control AC/DC grids under various uncertainties.
引用
收藏
页码:1856 / 1864
页数:9
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