Study on Energy Storage Capacity and Layout Optimization by Reducing Wind Power Curtailment Loss

doi:10.3969/j.issn.1000-7229.2016.06.004

Abstract

Abstract:

According to the wind power curtailment problem caused by the shortage of peak regulation capacity of power system with large-scale wind power integration in China， this paper proposes the charging and discharging strategy of energy storage battery with large capacity to improve the peak regulation capacity and reduce the wind power curtailment loss. Based on the proposed energy storage constant power charging and discharging strategy， we establish a mathematical model for capacity and layout optimization of energy storage power plants， and adopt genetic algorithm to solve the model. This model takes the minimum total costs as optimization objectives including the investment and operation costs of energy storage power plant， network loss， and the sum of wind power curtailment caused by the shortage of peak regulation capacity and wind power channel blocking.It also considers the benefits resuled from the electricity price gap between peak and valley periods and the benefits of carbon emission reduction of wind power， and meets the security operation constraints of power grid as well. Finally， we use IEEE RTS79 system to analyze the layout optimization of energy storage and verify the effectiveness of the method. The application of this method can provide technical solution scheme for the wind power curtailment problem in the area of large-scale wind power integration.

Key words: wind power curtailment, battery energy storage, optimization, genetic algorithm

CLC Number:

TM 721

WU Junling， ZHANG Yantao， QIN Xiaohui， LIANG Caihao. Study on Energy Storage Capacity and Layout Optimization by Reducing Wind Power Curtailment Loss[J]. Electric Power Construction, 2016, 37(6): 24-30.

References

［1］李军徽.抑制风电对电网影响的储能系统优化配置及控制研究［D］.北京：华北电力大学， 2012.
LI Junhui. Research on the optimaland control of energy storage system to reduced the effect of wind power on the grid［D］. Beijing: North China Electric Power University， 2012.
［2］张宁，周天睿，段长刚，等.大规模风电接入对电力系统调峰的影响［J］.电网技术，2010，34（1）：152-158.
ZHANG Ning，ZHOU Tianrui，DUAN Changgang，et al.Impact of large-scale wind farm connecting with power grid on peak load regulation demand［J］.Power System Technology，2010，34（1）：152-158.
［3］朱凌志，陈宁，韩华玲.风电消纳关键问题及应对措施分析［J］.电力系统自动化，2011，35（22）：29-34.
ZHU Lingzhi，CHEN Ning，HAN Hualing.Key problems and solutions of wind power accommodation［J］.Automation of Electric Power，2011，35（22）：29-34.
［4］胡娟，杨水丽，侯朝勇，等.规模化储能技术典型示范应用的现状分析与启示.电网技术，2015，39（4）：879-885.
HU Juan，YANG Shuili，HOU Chaoyong，et al.Present condition analysis on typical demonstration application of large-scale energy storage technology and its enlightenment［J］.Power System Technology，2015，39（4）：879-885.
［5］许守平，李相俊，惠东.大规模电化学储能系统发展现状及示范应用综述［J］.电力建设，2013，34（7）：73-80.
XU Shouping，LI Xiangjun，HUI Dong.A review of developent and demonstration application of large-scale electrochemical energy storage［J］.Electric Power Construction，2013，34（7）：73-80.
［6］王承民，孙伟卿，衣涛，等.智能电网中储能技术应用规划及其效益评估方法综述［J］.中国电机工程学报，2013，33（7）：33-41.
WANG Chengmin，SUN Weiqing，YI Tao，et al.Review on energy wtorage application planning and benefit evaluation methods in smart grid［J］.Proceedings of the CSEE，2013，33（7）：33-41.
［7］王成山，于波，肖峻，等.平滑可再生能源发电系统输出波动的储能系统容量优化方法［J］.中国电机工程学报，2012，32（16）：1-8.
WANG Chengshan，YU Bo，XIAO Jun，et al.Sizing of Energy Storage Systems for Output Smoothing of Renewable Energy Systems［J］.Proceedings of the CSEE，2012，32（16）：1-8.
［8］廖强强，陆宇东，周国定，等.基于削峰填谷的钠硫电池储能系统技术经济分析［J］.电力建设，2014，35（4）：111-115.
LIAO Qiangqiang，LU Yudong，ZHOU Guoding，et al.Technical and economic analysis on NaS battery energy storage system based on peak shaving［J］.Electric Power Construction，2014，35（4）：111-115.
［9］郑乐，胡伟，陆秋瑜，等.储能系统用于提高风电接入的规划和运行综合优化模型［J］.中国电机工程学报，2014，34（16）：2533-2543.
ZHENG Le，HU Wei，LU Qiuyu，et al.Research on planning and operation model for energy storage system to optimize wind power integration［J］.Proceedings of the CSEE，2014，34（16）：2533-2543.
［10］修晓青，李建林，惠东.用于电网削峰填谷的储能系统容量配置及经济性评估［J］.电力建设，2013，34（2）：1-5.
XIU Xiaoqing，LI Jianlin，HUI Dong.Capacity configuration and economic evaluation of energy storage system for grid peak load shifting［J］.Electric Power Construction，2013，34（2）：1-5.
［11］严干贵，冯晓东，李军徽，等.用于松弛调峰瓶颈的储能系统容量配置方法［J］.中国电机工程学报，2012，32（28）：27-35.
YAN Gangui，FENG Xiaodong，LI Junhui，et al.Optimization of energy storage system capacity for relaxing peak load regulation bottlenecks［J］.Proceedings of the CSEE，2012，32（28）：27-35.
［12］唐文左，梁文举，崔荣，等.配电网中分布式储能系统的优化配置方法［J］.电力建设，2015，36（4）：38-45.
TANG Wenzuo，LIANG Wenju，CUI Rong，et al.Optimal allocation method of distributed energy storage system in distribution network［J］.Electric Power Construction，2015，36（4）：38-45.
［13］靳文涛，马会萌，谢志佳.电池储能系统平滑风电功率控制策略［J］.电力建设，2012，33（7）：7-11.
JIN Wentao，MA Huimeng，XIE Zhijia.Wind power smoothing control strategy of battery energy storage system［J］.Electric Power Construction，2012，33（7）：7-11.
［14］陈满，陆志刚，刘怡，等.电池储能系统恒功率削峰填谷优化策略研究［J］.电网技术，2012，36（9）：232-237.
CHEN Man，LU Zhigang，LIU Yi，et al.Research on optimal peak load shifting strategy of battery energy storage system operated in constant power mode［J］.Power System Technology，2012，36（9）：232-237.
［15］段建民，王志新，王承民，等.考虑碳减排效益的可再生电源规划［J］.电网技术，2015，39（1）：11-15.
DUAN Jianmin， WANG Zhixin， WANG Chengmin，et al. Renewable power planning considering carbon emission reduction benefits［J］.Power System Technology，2015，39（1）：11-15.

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