Distributed and Distributionally Robust Chance-Constrained Scheduling for VSC-MTDC Meshed AC/DC Power Networks

被引:1
作者
Chen, Xiao [1 ]
Zhai, Junyi [2 ]
Shen, Jingwen [1 ]
Wang, Qingwei [1 ]
Li, Shanying [3 ]
Wang, Sheng [4 ]
机构
[1] State Grid Corp China, North China Branch, Beijing 100053, Peoples R China
[2] China Univ Petr East China, Coll New Energy, Qingdao 266580, Peoples R China
[3] North China Elect Power Res Inst, Beijing 100031, Peoples R China
[4] Univ Coll Dublin, Sch Elect & Elect Engn, Dublin D04V1W8, Ireland
来源
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING | 2024年 / 11卷 / 04期
关键词
Load flow; Adaptation models; Uncertainty; Scheduling; Wind power generation; Renewable energy sources; Power systems; VSC-MTDC meshed AC/DC power networks; joint distributionally robust chance-constrained; distributed and parallel optimization; accelerated alternating direction method of multipliers; RESERVE DISPATCH; ENERGY; OPTIMIZATION; SYSTEMS; FLOW;
D O I
10.1109/TNSE.2024.3370167
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article focuses on the distributed and distributionally robust dispatch for VSC-based multiterminal high voltage direct current (VSC-MTDC) meshed AC/DC power networks with a high penetration of wind power. The regional AC grid is formulated as a joint distributionally robust chance-constrained dispatch model to handle the uncertain wind power, which is solved by a Bonferroni and conditional value-at-risk approximation algorithm. The MTDC grid is formulated as a flexible operation model to fully utilize the unique power flow regulation capability of VSCs in adapting to wind power variations and promoting wind power accommodation. In addition, a distributed and parallel solution based on a tailored accelerated alternating direction method of multipliers algorithm with a predictor-corrector strategy is introduced to enable the distributed and distributionally robust scheduling, which can effectively solve the resulting distributed strongly convex quadratic programming problem, ensuring the computational efficiency and preserving the decision-making independence of different entities. Case studies validate the effectiveness of the proposed approach.
引用
收藏
页码:3317 / 3331
页数:15
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共 53 条
[51]   Distributionally Robust Energy Management for Islanded Microgrids With Variable Moment Information: An MISOCP Approach [J].
Zhou, Anping ;
Yang, Ming ;
Wu, Tao ;
Yang, Lun .
IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (05) :3668-3680
[52]   A Linear Programming Approximation of Distributionally Robust Chance-Constrained Dispatch With Wasserstein Distance [J].
Zhou, Anping ;
Yang, Ming ;
Wang, Mingqiang ;
Zhang, Yuming .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (05) :3366-3377
[53]   Distributed Dispatch Approach for Bulk AC/DC Hybrid Systems With High Wind Power Penetration [J].
Zhou, Ming ;
Zhai, Junyi ;
Li, Gengyin ;
Ren, Jianwen .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (03) :3325-3336