Techno-economically Optimal Configuration of Energy Storage for Western Inner Mongolia

doi:10.11930/j.issn.1004-9649.202203004

Abstract

Abstract: Due to the gradual increase in the installed capacity proportion of renewable energy in western Inner Mongolia in recent years, large-scale energy storage needs to be deployed to solve the problems caused by the intermittency and fluctuation of renewable energy to the power system. This paper designs and proposes a techno-economically optimal configuration model for energy storage in western Inner Mongolia to achieve the optimal energy storage configuration in this region. Specifically, the site selection and type selection for energy storage in western Inner Mongolia are studied by taking into account both technical and economic performance. Then, with the goal of suppressing wind and photovoltaic (PV) output fluctuation maximally and maximizing the revenue of energy storage projects, including their external value, a techno-economically optimal configuration model for energy storage is constructed and solved with the NSGA-II algorithm. An empirical study of a wind and PV resource aggregating area in western Inner Mongolia shows that when the suppression rate of wind and PV output fluctuation is controlled within 30% and the ratio of PV installed capacity to wind power installed capacity is low, deploying a certain scale of energy storage can obtain remarkable effects in both the technical and economic aspects. Finally, an energy storage configuration scheme based on the site selection, type selection, and empirical analysis results is proposed for western Inner Mongolia.

Key words: western Inner Mongolia, energy storage, external value, renewable energy, techno-economics, NSGA-II

DOU Dong, WANG Yanyu, LI Xin, YANG Wensheng, ZHOU Wenqi, LI Haiqing, ZHANG Shiying. Techno-economically Optimal Configuration of Energy Storage for Western Inner Mongolia[J]. Electric Power, 2022, 55(8): 52-63.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202203004

https://www.electricpower.com.cn/EN/Y2022/V55/I8/52

References

[1] 加快建设风光大基地内蒙古领跑新能源赛道[N]. 经济参考报, 2021-11-22(7).
[2] 孙伟卿, 宋赫, 秦艳辉, 等. 考虑灵活性供需不确定性的储能优化配置[J]. 电网技术, 2020, 44(12): 4486–4497
SUN Weiqing, SONG He, QIN Yanhui, et al. Energy storage system optimal allocation considering flexibility supply and demand uncertainty[J]. Power System Technology, 2020, 44(12): 4486–4497
[3] ZHAO B, REN J Z, CHEN J, et al. Tri-level robust planning-operation co-optimization of distributed energy storage in distribution networks with high PV penetration[J]. Applied Energy, 2020, 279: 115768.
[4] 唐夏菲, 吴献祥, 任青青, 等. 利用云储能租赁服务的风电场储能容量优化配置[J]. 电力科学与技术学报, 2020, 35(1): 90–95
TANG Xiafei, WU Xianxiang, REN Qingqing, et al. Optimized configuration of energy storage capacity of wind farms using cloud energy storage leasing services[J]. Journal of Electric Power Science and Technology, 2020, 35(1): 90–95
[5] HEMMATI R, MEHRJERDI H, BORNAPOUR M. Hybrid hydrogen-battery storage to smooth solar energy volatility and energy arbitrage considering uncertain electrical-thermal loads[J]. Renewable Energy, 2020, 154: 1180–1187.
[6] 李相俊, 马会萌, 姜倩. 新能源侧储能配置技术研究综述[J]. 中国电力, 2022, 55(1): 13–25
LI Xiangjun, MA Huimeng, JIANG Qian. Review of energy storage configuration technology on renewable energy side[J]. Electric Power, 2022, 55(1): 13–25
[7] 宋艺航, 谭忠富, 李欢欢, 等. 促进风电消纳的发电侧、储能及需求侧联合优化模型[J]. 电网技术, 2014, 38(3): 610–615
SONG Yihang, TAN Zhongfu, LI Huanhuan, et al. An optimization model combining generation side and energy storage system with demand side to promote accommodation of wind power[J]. Power System Technology, 2014, 38(3): 610–615
[8] 杨伟峰, 文云峰, 张武其, 邓步青. 基于风-储联合的双层频率响应控制策略[J/OL]. 电力系统自动化: 1–14[2022-06-06]. http://kns.cnki.net/kcms/detail/32.1180.tp.20220120.0927.002.html.
YANG Weifeng, WEN Yunfeng, ZHANG Wuqi, et al. Bi-level frequency response control strategy based on wind power and energy storage[J/OL]. Automation of Electric Power Systems. : 1–14[2022-06-06]. http://kns.cnki.net/kcms/detail/32.1180.tp.20220120.0927.002.html.
[9] 蒋亚旻, 毕伟. 电网侧储能系统发展及商业模式分析[J]. 电力系统装备, 2021(7): 107–108
JIANG Yamin, BI Wei. Development and business model of power grid side energy storage system[J]. Electric Power System Equipment, 2021(7): 107–108
[10] 白浩, 于力, 梁朔, 等. 计及多级配电网运行效率提升价值的电网侧储能优化配置[J]. 电力系统及其自动化学报, 2020, 32(3): 7–13
BAI Hao, YU Li, LIANG Shuo, et al. Optimized configuration of grid-side energy storage considering the value of multi-stage distribution network operation efficiency improvement[J]. Proceedings of the CSU-EPSA, 2020, 32(3): 7–13
[11] 郭威, 修晓青, 李文启, 等. 计及多属性综合指标与经济性的电网侧储能系统选址配置方法[J]. 电力建设, 2020, 41(4): 53–62
GUO Wei, XIU Xiaoqing, LI Wenqi, et al. Siting and configuration methods for grid-side energy storage system considering multi-attribute comprehensive indices and economy[J]. Electric Power Construction, 2020, 41(4): 53–62
[12] 田蓓, 王朝晖, 张爽, 等. 面向风光综合消纳的电力系统广域储能容量优化配置研究[J]. 智慧电力, 2020, 48(6): 67–72
TIAN Bei, WANG Zhaohui, ZHANG Shuang, et al. Wide-area optimized allocation of energy storage capacity considering wind/photovoltaic power accommodation in power systems[J]. Smart Power, 2020, 48(6): 67–72
[13] WU Y N, ZHANG T, GAO R, et al. Portfolio planning of renewable energy with energy storage technologies for different applications from electricity grid[J]. Applied Energy, 2021, 287: 116562.
[14] 王宝, 叶斌, 朱刘柱, 等. 峰谷电价与用户侧储能成本动态联动模型[J]. 供用电, 2021, 38(8): 77–82,90
WANG Bao, YE Bin, ZHU Liuzhu, et al. Dynamic interaction model between peak-valley electricity price and customer-side energy storage cost[J]. Distribution & Utilization, 2021, 38(8): 77–82,90
[15] 陈丽娟, 吴甜恬, 柳惠波, 等. 基于需量管理的两阶段大用户储能优化模型[J]. 电力系统自动化, 2019, 43(1): 194–200
CHEN Lijuan, WU Tiantian, LIU Huibo, et al. Demand management based two-stage optimal storage model for large users[J]. Automation of Electric Power Systems, 2019, 43(1): 194–200
[16] 周立立, 向月, 陈凌天. 基于风险-收益分析的用户侧储能容量经济配置研究[J]. 中国电力, 2021, 54(9): 187–197
ZHOU Lili, XIANG Yue, CHEN Lingtian. Research on economic allocation of user-side energy storage capacity based on risk-benefit analysis[J]. Electric Power, 2021, 54(9): 187–197
[17] 史林军, 杨帆, 刘英, 等. 计及社会发展的多场景用户侧储能容量优化配置[J]. 电力系统保护与控制, 2021, 49(22): 59–66
SHI Lianjun, YANG Fan, LIU Ying, et al. Multi-scenario user-side energy storage capacity optimization configuration considering social development[J]. Power System Protection and Control, 2021, 49(22): 59–66
[18] CHOI D, MIN D, RYU J H. Economic value assessment and optimal sizing of an energy storage system in a grid-connected wind farm[J]. Energies, 2018, 11(3): 591.
[19] ROTELLA P Jr, ROCHA L C S, MORIOKA S N, et al. Economic analysis of the investments in battery energy storage systems: review and current perspectives[J]. Energies, 2021, 14(9): 2503.
[20] YANG S B, MENG L, WANG L, et al. Analysis of energy storage power station investment and benefit[C]//2020 4 th International Conference on HVDC (HVDC). Xi'an, China. IEEE, 2020: 454–458.
[21] WU S K, ZHOU C, DOROODCHI E, et al. Techno-economic analysis of an integrated liquid air and thermochemical energy storage system[J]. Energy Conversion and Management, 2020, 205: 112341.
[22] 刘坚. 适应可再生能源消纳的储能技术经济性分析[J]. 储能科学与技术, 2022, 11(1): 397–404
LIU Jian. Economic assessment for energy storage technologies adaptive to variable renewable energy[J]. Energy Storage Science and Technology, 2022, 11(1): 397–404
[23] 傅旭, 李富春, 杨欣, 等. 基于全寿命周期成本的储能成本分析[J]. 分布式能源, 2020, 5(3): 34–38
FU Xu, LI Fuchun, YANG Xin, et al. Cost analysis of energy storage based on life cycle cost[J]. Distributed Energy, 2020, 5(3): 34–38
[24] 陆昊. 新型电力系统中储能配置优化及综合价值测度研究[D]. 北京: 华北电力大学(北京), 2021.
LU Hao. Research on energy storage plan optimization and comprehensive value measurement in the new power system[D]. Beijing: North China Electric Power University, 2021.
[25] 冯鑫源. 限风情况下风电场群有功分层协调控制策略研究[D]. 吉林: 东北电力大学, 2017.
FENG Xinyuan. Research on hierarchical coordinated control strategy of active power on clustered wind farms under wind curtailment condition[D]. Jilin: Northeast Dianli University, 2017.
[26] 沈玉明, 胡博, 谢开贵, 等. 计及储能寿命损耗的孤立微电网最优经济运行[J]. 电网技术, 2014, 38(9): 2371–2378
SHEN Yuming, HU Bo, XIE Kaigui, et al. Optimal economic operation of isolated microgrid considering battery life loss[J]. Power System Technology, 2014, 38(9): 2371–2378
[27] ZHANG D B, LIU J W, JIAO S F, et al. Research on the configuration and operation effect of the hybrid solar-wind-battery power generation system based on NSGA-II[J]. Energy, 2019, 189: 116121.
[28] 孙威. 能源互联网: 储能系统商业运行模式及典型案例分析[M]. 北京: 中国电力出版社, 2017: 69–91.