Bi-level Stochastic Scheduling Method for Power System with Wind Power Considering Adaptive Transmission Reserve

被引：0
|
作者：
Huang Y. [1 ,2 ]
Xu Q. [2 ]
Xia Y. [2 ]
Yue D. [1 ]
Dou C. [1 ]
机构：
[1] Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing
[2] School of Electrical Engineering, Southeast University, Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 20期
基金：
中国国家自然科学基金;
关键词：
Bi-level optimization; Congestion management; Stochastic scheduling; Transmission reserve; Wind power integration;
D O I：
10.7500/AEPS20210126008
中图分类号：
学科分类号：
摘要：
Large-scale wind power integration increases the probability of transmission congestion in power grids. In order to overcome the disadvantages of deterministic methods for congestion management when facing system random perturbations, based on chance-constrained programming conditions considering congestion risk, this paper proposes an adaptive approach for quantifying transmission reserves by taking the wind power uncertainty into account. A bi-level stochastic scheduling model with adaptive transmission reserves is developed. This model incorporates the line transmission reserve into the upper-level unit commitment (UC) model. Aiming at the economic rescheduling problem at the lower level, the improved point estimation method is used to obtain the statistical distribution characteristics of the real-time power flow of the line, and the result is returned to the upper model to dynamically adjust the size of the reserve demand. At the same time, based on the Karush-Kuhn-Tucher (KKT) optimal condition of the underlying model, the bi-level optimal structure is merged into a single layer, and finally transformed into a mixed-integer programming problem that is easy to solve. Finally, the IEEE RTS 24-bus testing case verifies that the proposed model and method can effectively alleviate transmission congestion and improve wind power consumption and reserve availability. © 2021 Automation of Electric Power Systems Press.
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页码：29 / 37
页数：8
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