Penetration Rate and Effectiveness Studies of Aggregated BESS for Frequency Regulation

被引:162
作者
Chen, Shuaixun [1 ]
Zhang, Tian [2 ]
Gooi, H. B. [2 ]
Masiello, Ralph D. [1 ]
Katzenstein, Warren [1 ]
机构
[1] DNV GL Energy, Chalfont, PA 18914 USA
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
Battery energy storage system (BESS); control performance standard 1 (CPS1); control performance standard 2 (CPS2); load frequency control (LFC); sizing sensitivity analysis; virtual power plant (VPP); BATTERY ENERGY-STORAGE; LOAD; PV;
D O I
10.1109/TSG.2015.2426017
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
With the increased environmental concern, the photovoltaic (PV) generation capacity is growing in today's power systems. As the PV penetration rate increases, the intermittency and uncertainty of PV systems will cause frequency regulation issues. When rapid fluctuations take place, the system requires fast responding regulation to recover the frequency within a short period of time. Traditional power plants with slow dynamics are less capable of tracking the fast-changing regulation signal. In this context, a battery energy storage system (BESS) is considered as an effective regulation source to respond immediately to frequency deviations. This paper addresses the sizing issue of an aggregated BESS by a series of system level performance tests with different BESS penetration rates. The evaluation criteria are the control performance standards 1 and 2. Response effectiveness of the BESS with different levels of disturbances is also analyzed, with comparison to that of the traditional power plants. The proposed BESS aggregation controller is also validated using software simulations and a hardware testbed.
引用
收藏
页码:167 / 177
页数:11
相关论文
共 30 条
[1]
[Anonymous], 2012, KERM STUD REP
[2]
[Anonymous], 2008, 15472 IEEE
[3]
[Anonymous], 2013, FASTER FREQUENCY REG
[4]
[Anonymous], 2012, GRID INTEGRATION LAR
[5]
[Anonymous], 2014, 2014 49 INT U POW EN
[6]
Atic N, 2004, 2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2, P855
[7]
Bevrani H, 2009, POWER ELECTRON POWER, P1, DOI 10.1007/978-0-387-84878-5_1
[8]
Modelling of lithium-ion battery for online energy management systems [J].
Chen, S. X. ;
Gooi, H. B. ;
Xia, N. ;
Wang, M. Q. .
IET ELECTRICAL SYSTEMS IN TRANSPORTATION, 2012, 2 (04) :202-210
[9]
Sizing of Energy Storage for Microgrids [J].
Chen, S. X. ;
Gooi, H. B. ;
Wang, M. Q. .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (01) :142-151
[10]
Dynamic Available AGC Based Approach for Enhancing Utility Scale Energy Storage Performance [J].
Cheng, Yunzhi ;
Tabrizi, Mehriar ;
Sahni, Mandhir ;
Povedano, Alfredo ;
Nichols, David .
IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (02) :1070-1078