Operation Scheduling of Battery Storage Systems in Joint Energy and Ancillary Services Markets

被引:186
作者
Kazemi, Mostafa [1 ]
Zareipour, Hamidreza [2 ]
Amjady, Nima [3 ]
Rosehart, William D. [2 ]
Ehsan, Mehdi [4 ]
机构
[1] Univ Shahreza, Dept Elect Engn, Shahreza 8614956841, Iran
[2] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada
[3] Semnan Univ, Dept Elect Engn, Semnan 1911135131, Iran
[4] Sharif Univ Technol, Dept Elect Engn, Tehran 1136511155, Iran
基金
加拿大自然科学与工程研究理事会;
关键词
Battery storage system; duality theory; participation strategy; risk management; robust optimization; ELECTRICITY MARKET; WIND; STRATEGY; GENCOS;
D O I
10.1109/TSTE.2017.2706563
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a risk-based approach for evaluating the participation strategy of a battery storage system in multiple markets. Simultaneous offering in day-ahead energy, spinning reserve, and regulation markets is considered in this paper. The uncertainties considered include predicted market prices as well as energy deployment in spinning reserve and regulation markets. A new nonprobabilistic model is introduced in this paper to handle the uncertain nature of spinning reserve and regulation markets. Robust optimization is implemented to model these uncertain parameters and manage their related risk. The proposed risk-based model is a max-min problem, which is converted to its equivalent ordinary maximization problem using duality theory. The presented model is linearized by implementing strong duality theory. Finally, the proposed method is tested and verified using an illustrative case study.
引用
收藏
页码:1726 / 1735
页数:10
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