arrow
返回

Robust frequency risk-constrained unit commitment model for AC-DC system considering wind uncertainty

delete2022-08-01
delete6
PRE
AI
S
Sufan Jiang
C
Chuanshen Wu
S
Shan Gao *
潘光胜 封面图
潘光胜 (Guangsheng Pan)
刘
刘宇 (Yu Liu)
X
Xin Zhao
S
Sicheng Wang
DOI:10.1016/j.renene.2022.06.017delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
With the increasing penetration of volatile renewable energy sources (RES) in power systems, the formulation of RES uncertainty set in the unit commitment (UC) problem poses significant challenges to the operators especially those in AC-DC systems. To overcome the over-conservativeness and computational redundancy in conventional uncertainty formulation methods, this paper induces the stochastic rationale into the robust dispatch model and proposes a two-stage robust frequency risk-constrained unit commitment (FRCUC) model to excavate the system flexibility. Based on the typical characteristics of AC-DC dispatch system, the frequency violation risk (FVR) factors are proposed to enhance the adaptability of uncertainty sets, wherein the HVDC regulation is activated to cope with the extreme uncertain scenarios with lower probability. As a result, being aware of the wind power distribution, the proposed model succeeds in managing the operational risks by fully exploiting the controllability of HVDC system, and the over-conservativeness from conventional robust model is handled by the proposed FVR factors. The outperformance of our model is validated by the numerical experiments on a modified AC-DC system, it is validated that the operational risks are evaluated when considering the violated wind power distribution, and therefore the model economic benefits are promoted when ensuring the reliability. (c) 2022 Elsevier Ltd. All rights reserved.
Keyword:
Wind uncertainty set formulation
Probability density function
High voltage direct current (HVDC) system
Frequency violation risk factors
Stochastic and robustness-based unit
commitment model

期刊

Renewable Energy 封面图
Renewable Energy
IF:
9.1
论文数:
2.6W
被引数:
12.1W

机构

S
southeast university - china
学者数:
5.3W
论文数: 4.9W
被引数: 57
引用论文

引用论文

Robust Risk-Constrained Unit Commitment With Large-Scale Wind Generation: An Adjustable Uncertainty Set Approach
err2017-01-01
err125
errOAAI
errWang, Cheng; Liu, Feng; Wang, Jianhui; Qiu, Feng; Wei, Wei; Mei, Shengwei; Lei, Shunbo
err分享
err收藏
err分享
err收藏
Comparative economic analysis of low frequency AC transmission system for the integration of large offshore wind farms
err2021-12-01
err25
PREAI
errMeng, Yongqing; Yan, Shuhao; Wu, Kang; Ning, Lianhui; Li, Xuan; Wang, Xiuli; Wang, Xifan
err分享
err收藏
err分享
err收藏
HVDC Transmission: Technology Review, Market Trends and Future Outlook
err2019-09-01
err243
errOAAI
errAlassi, Abdulrahman; Banales, Santiago; Ellabban, Omar; Adam, Grain; MacIver, Callum
err分享
err收藏
Multiobjective reactive power planning considering the uncertainties of wind farms and loads using Information Gap Decision Theory
err2021-01-01
err23
PREAI
errShojaei, Amir Hossein; Ghadimi, Ali Asghar; Miveh, Mohammad Reza; Gandoman, Foad H.; Ahmadi, Abdollah
err分享
err收藏
学者 查看更多内容