Hybrid Energy Storage Capacity Configuration Optimization in Micro Grids Considering Electric Vehicles

doi:10.11930/j.issn.1004-9649.2017.03.161.07

Abstract

Abstract: Hybrid energy storage has significant effect in micro grid power balance, renewable energy fluctuation suppression and battery life improvement. It is one of the future development directions of energy storage in micro power grid. An optimization model of energy storage capacity is established for micro power grid containing wind power and photovoltaic power generation with consideration of coordinated charging/discharging of electric vehicle. Empirical Mode Decomposition(EDM) is used to split and stabilize charging/discharging task. The model is finally solved by Particle Swarm Optimization method(PSO). The capacity configuration is compared under different modes including no electric vehicles, uncoordinated charging and coordinated charging/discharging. The state of charge and power distribution of hybrid energy storage are analyzed through simulation. The simulation result verifies effectiveness of proposed model in energy fluctuation suppression.

Key words: hybrid energy storage, empirical mode decomposition, particle swarm optimization algorithm, EV, micro-grid

CLC Number:

TM73

WANG Shuai, ZHAO Xingyong, HE Tianyun, LIU Jian. Hybrid Energy Storage Capacity Configuration Optimization in Micro Grids Considering Electric Vehicles[J]. Electric Power, 2017, 50(3): 161-167.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2017.03.161.07

https://www.electricpower.com.cn/EN/Y2017/V50/I3/161

References

[1] 叶季蕾,薛金花,王伟,等. 储能技术在电力系统中的应用现状与前景[J]. 中国电力,2014,47（3）：1-5.
YE Jilei, XUE Jinhua, WANG Wei, et al . Application of energy storage technology and its prospect in power system[J]. Electric Power, 2014, 47(3): 1-5.
[2] 杨白洁,晁勤,衣海东,等. VRB储能系统对风电场LVRT特性影响分析[J]. 中国电力,2013,46（10）：78-83.
YANG Baijie, CHAO Qin, YI Haidong, et al . Influencesof a VRB energy storage system on LVRT characteristics of a wind farm [J].Electric Power, 2013, 46(10): 78-83.
[3] 赵兴勇,杨涛,王灵梅. 基于复合储能的微电网运行方式切换控制策略[J]. 高电压技术,2015,41（7）：2142-2147.
ZHAO Xingyong, YANG Tao, WANG Lingmei. Control strategy for operation modes transfer of micro-grid based on hybrid energy storage system[J]. High Voltage Engineering, 2015, 41(7): 2142-2147.
[4] 田崇翼,张承慧,李珂,等. 含压缩空气储能的微网复合储能技术及其成本分析[J]. 电力系统自动化,2015,39（10）：36-41.
TIAN Chongyi, ZHANG Chenghui, LI Ke, et al . Composite energy storage technology with compressed air energy storage in microgrid and its cost analysis[J]. Automation of Electric Power Systems, 2015, 39(10): 36-41.
[5] 罗鹏,杨天蒙,娄素华,等. 基于频谱分析的微网混合储能容量优化配置[J]. 电网技术,2016,40（2）：376-381.
LUO Peng, YANG Tianmeng, LOU Suhua, et al . Spectrum analysis based capacity configuration of hybrid energy storage in microgrid [J]. Power System Technology, 2016, 40(2): 376-381.
[6] 栗然,党磊,周鸿鹄,等. 基于费用效率法的风电场混合储能容量优化配置[J]. 电力系统保护与控制,2015,43（24）：55-62.
LI Ran, DANG Lei, ZHOU Honghu, et al . Capacity optimization disposition of hybrid energy storage in wind field based on cost efficiency model[J]. Power System Protection and Control, 2015, 43(24): 55-62.
[7] 肖浩,裴玮,杨艳红,等. 计及电池寿命和经济运行的微电网储能容量优化[J]. 高电压技术,2015,41（10）：3256-3265.
XIAO Hao, PEI Wei, YANG Yanhong, et al . Energy storage capacity optimization for microgrid considering battery life and economic operation[J]. High Voltage Engineering, 2015, 41(10):3256-3265.
[8] 张迈,赵彩虹,唐小波,等. 基于 PSCAD 的电动汽车 V2G 充放电装置仿真研究[J]. 南京师范大学学报（工程技术版）,2013, 13（2）：7-12,31.
ZHANG Mai, ZHAO Caihong, TANG Xiaobo, et al [J]. Research on charge and discharge equipment of V2G technology based on PSCAD simulation[J]. Journal of Nanjing Normal University(Engineering And Technology Edition), 2013, 13(2): 7-12, 31.
[9] 茆美琴,孙树娟,苏建徽. 包含电动汽车的风/光/储微电网经济性分析[J]. 电力系统自动化,2011,35（14）：30-35.
MAO Meiqin, SUN Shujuan, SU Jianhui. Economic Analysis of a microgrid with wind/photovoltaic/storages and electric vehicles[J].Automation of Electric Power Systems, 2011, 35(14): 30-35.
[10] 司莉,毕贵红,张寿明,等. 一种改进的经验模态分解方法[J].计算机工程与应用,2014,50（14）：194-201.
SI Li, BI Guihong, ZHANG Shouming, et al . Improved method for empirical mode decomposition[J]. Computer Engineering and Applications, 2014, 50(14): 194-201.
[11] 赵兴勇,王秀丽.分布式发电并网与电压稳定性[M].北京：中国电力出版社,2015.

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