Benefits of Strategically Sizing Wind-Integrated Energy Storage and Transmission

被引：38

作者：

Bhattacharjee, Shubhrajit ^{[1
]}

Sioshansi, Ramteen ^{[2
]}

Zareipour, Hamidreza ^{[1
]}

机构：

[1] Univ Calgary, Dept Elect & Comp Engn, Schulich Sch Engn, Calgary, AB T2N 1N4, Canada

[2] Ohio State Univ, Dept Integrated Syst Engn, Columbus, OH 43210 USA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2021年 / 36卷 / 02期

基金：

加拿大自然科学与工程研究理事会; 美国国家科学基金会;

关键词：

Wind energy generation; Wind energy; Generators; Wind power generation; Investment; Batteries; Power system markets; decomposition; energy storage; wind generation; transmission; power system planning;

D O I：

10.1109/TPWRS.2020.3016596

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We examine the behavior of a strategic firm that invests-in and operates wind, energy storage, and transmission. The capacity of the energy storage and transmission are co-optimized with the firm's wind-supply and energy-storage offers into a centrally dispatched electricity market. We employ a bi-level stochastic optimization model. The upper level determines the capacities and offering strategies to maximize the firm's expected profits. Multiple lower-level problems represent market clearing under different operating conditions, which capture uncertainties. The resulting large-scale optimization model is solved using multi-cut Benders's decomposition. The model is applied to a case study that is based on Alberta's electricity market.

引用

页码：1141 / 1151

页数：11

共 32 条

[1]

Bertsekas D. P, 1995, SER OPTIMIZATION COM

[2] Statistical analysis of wind power forecast error [J].