Optimal Placement of Energy Storage in Distribution Networks

被引:41
作者
Tang, Yujie [1 ]
Low, Steven H. [1 ,2 ]
机构
[1] CALTECH, Dept Elect Engn, Pasadena, CA 91125 USA
[2] CALTECH, Comp & Math Sci Dept, Pasadena, CA 91125 USA
关键词
Energy storage; distribution networks; optimal power flow; OPTIMAL POWER-FLOW; DISTRIBUTION-SYSTEMS; CONVEX RELAXATION; PART I; RECONFIGURATION;
D O I
10.1109/TSG.2017.2711921
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 study the problem of optimal placement and capacity of energy storage devices in a distribution network to minimize total energy loss. A continuous tree with linearized DistFlow model is developed to model the distribution network. We analyze structural properties of the optimal solution when all loads have the same shape. We prove that it is optimal to place storage devices near the leaves of the network away from the substation, and that the scaled storage capacity monotonically increases toward the leaves. Moreover, under optimal storage placement, the locational marginal value of storage is equalized wherever nonzero storage is deployed and increases from the substation toward any leaf node over places where there is zero storage deployment. We illustrate through simulations that these structural properties are robust in that they hold approximately when some of our modeling assumptions are relaxed.
引用
收藏
页码:3094 / 3103
页数:10
相关论文
共 25 条
[1]   Optimal Allocation of ESS in Distribution Systems With a High Penetration of Wind Energy [J].
Atwa, Yasser Moustafa ;
El-Saadany, E. F. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (04) :1815-1822
[2]   OPTIMAL SIZING OF CAPACITORS PLACED ON A RADIAL-DISTRIBUTION SYSTEM [J].
BARAN, ME ;
WU, FF .
IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (01) :735-743
[3]   NETWORK RECONFIGURATION IN DISTRIBUTION-SYSTEMS FOR LOSS REDUCTION AND LOAD BALANCING [J].
BARAN, ME ;
WU, FF .
IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (02) :1401-1407
[4]  
Bose S, 2014, IEEE DECIS CONTR P, P3259, DOI 10.1109/CDC.2014.7039893
[5]  
Bose S, 2012, IEEE DECIS CONTR P, P5605, DOI 10.1109/CDC.2012.6426113
[6]  
Castillo A, 2014, P AMER CONTR CONF, P4342, DOI 10.1109/ACC.2014.6859489
[7]  
Farivar M., 2011, 2011 IEEE Second International Conference on Smart Grid Communications (SmartGridComm 2011), P457, DOI 10.1109/SmartGridComm.2011.6102366
[8]   Branch Flow Model: Relaxations and Convexification-Part I [J].
Farivar, Masoud ;
Low, Steven H. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (03) :2554-2564
[9]   Cluster Analysis of Smart Metering Data An Implementation in Practice [J].
Flath, Christoph ;
Nicolay, David ;
Conte, Tobias ;
van Dinther, Clemens ;
Filipova-Neumann, Lilia .
BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2012, 4 (01) :31-39
[10]   Exact Convex Relaxation of Optimal Power Flow in Radial Networks [J].
Gan, Lingwen ;
Li, Na ;
Topcu, Ufuk ;
Low, Steven H. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (01) :72-87