Scalable Planning for Energy Storage in Energy and Reserve Markets

被引：113

作者：

Xu, Bolun ^{[1
]}

Wang, Yishen ^{[1
]}

Dvorkin, Yury ^{[3
]}

Fernandez-Blanco, Ricardo ^{[2
]}

Silva-Monroy, Cesar A. ^{[5
]}

Watson, Jean-Paul ^{[4
]}

Kirschen, Daniel S. ^{[1
]}

机构：

[1] Univ Washington, Elect Engn, Seattle, WA 98105 USA

[2] Univ Washington, Seattle, WA 98105 USA

[3] NYU, Dept Elect & Comp Engn, New York, NY 10003 USA

[4] Sandia Natl Labs, Discrete Math & Optimizat Dept, Albuquerque, NM 87185 USA

[5] Sandia Natl Labs, Elect Power Syst Res Dept, Albuquerque, NM 87185 USA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2017年 / 32卷 / 06期

关键词：

ancillary services; arbitrage; cutting-plane method; energy storage (ES); power system planning; primal decomposition;

D O I：

10.1109/TPWRS.2017.2682790

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：

Energy storage can facilitate the integration of renewable energy resources by providing arbitrage and ancillary services. Jointly optimizing energy and ancillary services in a centralized electricity market reduces the system's operating cost and enhances the profitability of energy storage systems. However, achieving these objectives requires that storage be located and sized properly. We use a bilevel formulation to optimize the location and size of energy storage systems, which perform energy arbitrage and provide regulation services. Our model also ensures the profitability of investments in energy storage by enforcing a rate of return constraint. Computational tractability is achieved through the implementation of a primal decomposition and a subgradient-based cutting-plane method. We test the proposed approach on a 240-bus model of the Western Electricity Coordinating Council system and analyze the effects of different storage technologies, rate of return requirements, and regulation market policies on energy storage participation on the optimal storage investment decisions. We also demonstrate that the proposed approach outperforms exact methods in terms of solution quality and computational performance.

引用

页码：4515 / 4527

页数：13

共 56 条

[1] Optimal Operation of Independent Storage Systems in Energy and Reserve Markets With High Wind Penetration [J].