Ensuring Profitability of Energy Storage

被引:131
作者
Dvorkin, Yury [1 ]
Fernandez-Blanco, Ricardo [1 ]
Kirschen, Daniel S. [1 ]
Pandzic, Hrvoje [2 ]
Watson, Jean-Paul [3 ]
Silva-Monroy, Cesar A. [3 ]
机构
[1] Univ Washington, Dept Elect Engn, Seattle, WA 98105 USA
[2] Univ Zagreb, Fac Elect Engn & Comp, HR-10000 Zagreb, Croatia
[3] Sandia Natl Labs, POB 5800, Albuquerque, NM 87185 USA
关键词
Bilevel optimization; distributed energy storage; energy storage investment; energy storage profitability; power system economics; power system planning; storage siting; storage sizing; wind power generation; POWER; GENERATION;
D O I
10.1109/TPWRS.2016.2563259
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 (ES) is a pivotal technology for dealing with the challenges caused by the integration of renewable energy sources. It is expected that a decrease in the capital cost of storage will eventually spur the deployment of large amounts of ES. These devices will provide transmission services, such as spatiotemporal energy arbitrage, i.e., storing surplus energy from intermittent renewable sources for later use by loads while reducing the congestion in the transmission network. This paper proposes a bilevel program that determines the optimal location and size of storage devices to perform this spatiotemporal energy arbitrage. This method aims to simultaneously reduce the system-wide operating cost and the cost of investments in ES while ensuring that merchant storage devices collect sufficient profits to fully recover their investment cost. The usefulness of the proposed method is illustrated using a representative case study of the ISO New England system with a prospective wind generation portfolio.
引用
收藏
页码:611 / 623
页数:13
相关论文
共 38 条
[1]  
[Anonymous], 2012, E WIND DAT
[2]  
[Anonymous], THESIS
[3]  
[Anonymous], 2012, Complementarity Modeling in Energy Markets
[4]   Bilevel programming applied to power system vulnerability analysis under multiple contingencies [J].
Arroyo, J. M. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2010, 4 (02) :178-190
[5]   A BRANCH AND BOUND ALGORITHM FOR THE BILEVEL PROGRAMMING PROBLEM [J].
BARD, JF ;
MOORE, JT .
SIAM JOURNAL ON SCIENTIFIC AND STATISTICAL COMPUTING, 1990, 11 (02) :281-292
[6]   Strategic Wind Power Investment [J].
Baringo, Luis ;
Conejo, Antonio J. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (03) :1250-1260
[7]  
Castillo A., 2014, P IEEE 52 ANN C DEC, P429
[8]   Electrical Energy Storage for the Grid: A Battery of Choices [J].
Dunn, Bruce ;
Kamath, Haresh ;
Tarascon, Jean-Marie .
SCIENCE, 2011, 334 (6058) :928-935
[9]   Storage Sizing and Placement through Operational and Uncertainty-Aware Simulations [J].
Dvijotham, Krishnamurthy ;
Chertkov, Misha ;
Backhaus, Scott .
2014 47TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), 2014, :2408-2416
[10]   Uncertainty Sets for Wind Power Generation [J].
Dvorkin, Yury ;
Lubin, Miles ;
Backhaus, Scott ;
Chertkov, Michael .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (04) :3326-3327