Risk-Based Admissibility Assessment of Wind Generation Integrated into a Bulk Power System

被引：111

作者：

Wang, Cheng ^{[1
]}

Liu, Feng ^{[1
]}

Wang, Jianhui ^{[2
]}

Wei, Wei ^{[1
]}

Mei, Shengwei ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn & Appl Elect Technol, State Key Lab Power Syst, Beijing 100084, Peoples R China

[2] Argonne Natl Lab, Div Energy Syst, Argonne, IL 60439 USA

来源：

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY | 2016年 / 7卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Wind power admissibility; unit commitment; generation dispatch; risk assessment; uncertainty; CONSTRAINED UNIT COMMITMENT; STOCHASTIC SECURITY; ROBUST OPTIMIZATION; DISPATCH; MODELS;

D O I：

10.1109/TSTE.2015.2495299

中图分类号：

X [环境科学、安全科学];

学科分类号：

083001 [环境科学];

摘要：

The increasing integration of large-scale volatile and uncertain wind generation has brought great challenges to power system operations. In this paper, a risk-based admissibility assessment approach is proposed to quantitatively evaluate how much wind generation can be accommodated by the bulk power system under a given unit commitment (UC) strategy. First, the operational risk brought by the variation and uncertainty of wind generation is developed as an admissibility measure of wind generation. Then its linear approximation is derived for practical implementation. Furthermore, a risk-minimization model is established to mathematically characterize the admissible region of wind generation. This model can be solved effectively by a modified column and constraint generation (C&CG) algorithm. Simulations on the IEEE 9-bus system and the real Guangdong power grid demonstrate the effectiveness and efficiency of the proposed methodology.

引用

页码：325 / 336

页数：12

共 25 条

[1]

Bilevel programming applied to power system vulnerability analysis under multiple contingencies [J].