Affinely adjustable robust AC-DC optimal power flow considering correlation of wind power

被引：4
|
作者：
Tian, Yuan [1 ]
Wang, Keyou [1 ]
Li, Guojie [1 ]
Zhou, Ye [1 ]
Luo, Jinshan [2 ]
Wang, Ying [2 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China
[2] State Power Econ Res Inst, Beijing, Peoples R China
来源：
IET RENEWABLE POWER GENERATION | 2018年 / 12卷 / 13期
关键词：
load flow; wind power; power generation dispatch; optimisation; affinely adjustable robust optimisation method; AC-DC optimal power flow; AC-DC AAROPF; wind power correlation; wind power outputs; affine policies; redispatch process; tractable model; simplified pair copula; modified AC-DC IEEE 30-bus system; modified AC-DC IEEE 118-bus system; forecast error confidence intervals; SYSTEMS; MODEL;
D O I：
10.1049/iet-rpg.2017.0886
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Wind power outputs will bring larger computational error in actual operation without considering the correlation. This study presents an affinely adjustable robust optimisation method for AC-DC optimal power flow (AC-DC AAROPF) considering the correlation of wind power. Affine policies are utilised in the re-dispatch process to ensure the feasibility of the infinite scenarios of uncertainties. After transforming AC-DC AAROPF to a tractable model, a novel approach based on simplified pair copula to consider multiple dependence of wind power is presented. The AC-DC AAROPF is evaluated on the modified AC-DC IEEE 30-bus and 118-bus system. Results show a modest increase in expected cost for reasonable levels of uncertainty representing forecast error confidence intervals, which obtains a more robust solution with higher successful rates.
引用
收藏
页码：1478 / 1485
页数：8
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