CAPACITY OPTIMIZATION OF HYBRID ENERGY STORAGE POWER GENERATION SYSTEM IN REGIONAL POWER SYSTEM

Pan Ting; Wang Liying; Ding Hongjian; Zeng Ming; Zhang Xiaochun; Su Yibo; Zhou Xuyan

doi:10.19912/j.0254-0096.tynxb.2023-1002

PDF(1696 KB)

Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (10) : 752-763. DOI: 10.19912/j.0254-0096.tynxb.2023-1002

CAPACITY OPTIMIZATION OF HYBRID ENERGY STORAGE POWER GENERATION SYSTEM IN REGIONAL POWER SYSTEM

Pan Ting¹, Wang Liying², Ding Hongjian¹, Zeng Ming¹, Zhang Xiaochun¹, Su Yibo³, Zhou Xuyan³

Author information +

History +

Abstract

To increase the proportion of new energy sources such as wind and photovoltaic power in regional power generation systems, a two-level optimal configuration model for power generation system capacity with hybrid energy storage is proposed under a tiered carbon pricing mechanism. This model utilizes battery energy storage combined with pumped hydro storage for large-scale charging and discharging to maximize system benefits. The upper level aims to minimize the system's investment payback period, while the lower level aims to maximize annual operational benefits. An improved grey wolf optimizer is employed to solve the constructed two-level model. The results indicate that the proposed model can enhance both the electricity sales revenue and the scale of new energy deployment in the power generation system, while also improving the system's environmental friendliness.

Key words

energy storage / pumped storage power plants / electric power system planning / constraint optimization / clean energy

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Pan Ting, Wang Liying, Ding Hongjian, Zeng Ming, Zhang Xiaochun, Su Yibo, Zhou Xuyan. CAPACITY OPTIMIZATION OF HYBRID ENERGY STORAGE POWER GENERATION SYSTEM IN REGIONAL POWER SYSTEM[J]. Acta Energiae Solaris Sinica. 2024, 45(10): 752-763 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1002

References

[1] 罗继东, 邹梦丽, 侯宝华, 等. 考虑V2G及碳排放量的风光储综合能源系统协调优化运行[J]. 电测与仪表, 2024, 61(6): 20-25, 35.
LUO J D, ZOU M L, HOU B H, et al.Coordinated and optimal operation of wind solar energy storage system considering V2G and carbon emission[J]. Electrical measurement & instrumentation, 2024, 61(6): 20-25, 35.
[2] 中华人民共和国国家发展和改革委员会, 国家能源局. 发展改革委能源局关于推进电力源网荷储一体化和多能互补发展的指导意见[J]. 中华人民共和国国务院公报, 2021(12): 59-62.
National Development and Reform Commission of the People’s Republic of China, National Energy Administration. Guiding opinions of the national development and reform commission and the national energy administration on promoting the integration of power generation, grids, demand and storage and the development of multi-energy complementarity[J]. Gazette of the State Council of the People’s Republic of China, 2021(12): 59-62.
[3] 孙伟卿, 李臻, 谈一鸣, 等. 基于灵活性提升的电力系统储能装置定容方法[J]. 系统仿真学报, 2018, 30(1): 235-241, 248.
SUN W Q, LI Z, TAN Y M, et al.Method of power system energy storage configuration based on flexibility promotion[J]. Journal of system simulation, 2018, 30(1): 235-241, 248.
[4] 武鑫, 李洋涛, 马志勇, 等. 基于改进小波包分解的混合储能系统容量配置方法[J]. 太阳能学报, 2023, 44(8): 23-29.
WU X, LI Y T, MA Z Y, et al.Capacity configuration method of hybrid energy storage system based on improved wavelet packet decomposition[J]. Acta energiae solaris sinica, 2023, 44(8): 23-29.
[5] 陈崇德, 郭强, 宋子秋, 等. 计及碳收益的风电场混合储能容量优化配置[J]. 中国电力, 2022, 55(12): 22-33.
CHEN C D, GUO Q, SONG Z Q, et al.Optimal configuration of hybrid energy storage capacity for wind farms considering carbon trading revenue[J]. Electric power, 2022, 55(12): 22-33.
[6] 杨昌海, 张赛, 王雪妍, 等. 基于平抑风光波动的抽水蓄能容量优化配置[J]. 电网与清洁能源, 2023, 39(7): 140-146.
YANG C H, ZHANG S, WANG X Y, et al.Optimal allocation of the pumped storage capacity based on smooth wind and photovoltaic fluctuation[J]. Power system and clean energy, 2023, 39(7): 140-146.
[7] SPYROU I D, ANAGNOSTOPOULOS J S.Design study of a stand-alone desalination system powered by renewable energy sources and a pumped storage unit[J]. Desalination, 2010, 257(1/2/3): 137-149.
[8] 王开艳, 罗先觉, 贾嵘, 等. 充分发挥多能互补作用的风蓄水火协调短期优化调度方法[J]. 电网技术, 2020, 44(10): 3631-3641.
WANG K Y, LUO X J, JIA R, et al.Short-term coordinated scheduling of wind-pumped-hydro-thermal power system with multi-energy complementarities[J]. Power system technology, 2020, 44(10): 3631-3641.
[9] 韩中合, 张策, 高明非. 基于EMD分解的孤岛型综合能源系统混合储能规划[J]. 热力发电, 2022, 51(9): 72-78.
HAN Z H, ZHANG C, GAO M F.Hybrid energy storage planning of island-type integrated energy system based on EMD decomposition[J]. Thermal power generation, 2022, 51(9): 72-78.
[10] DEB S, SAM S, MOH M.Optimal planning of integrated wind-photovoltaic-battery-hydro based microgrid system using multi-objective evolutionary algorithms[J]. Applied energy, 2018, 217: 138-151.
[11] 魏震波, 姚怡欣, 张雯雯, 等. 基于完备集合经验模态分解的含抽蓄微电网混合储能容量优化配置[J]. 储能科学与技术, 2023, 12(11): 3414-3424.
WEI Z B, YAO Y X, ZHANG W W, et al.Capacity optimal configuration of micro-grid hybrid enerqy storage system with pumped storage based on CEEMDAN[J]. Energy storage science and technology, 2023, 12(11): 3414-3424.
[12] 王振浩, 马爽, 李国庆, 等. 考虑复合储能电站接入的电网日前-日内两阶段滚动优化调度[J]. 太阳能学报, 2022, 43(10): 400-408.
WANG Z H, MA S, LI G Q, et al.Day-ahead and intra-day two-stage rolling optimal dispatch of power grid considering access of composite energy storage power stations[J]. Acta energiae solaris sinica, 2022, 43(10): 400-408.
[13] 范越, 冯松杰, 魏韡, 等. 基于频谱拆分的高比例新能源电力系统火电-多类型储能容量优化匹配[J]. 中国电机工程学报, 2024, 44(9): 3518-3531.
FAN Y, FENG S J, WEI W, et al.Optimal capacity matching of thermal generation and multi-type energy storage in power systems with high share of renewable energy based on spectrum splitting[J]. Proceedings of the CSEE, 2024, 44(9): 3518-3531.
[14] 张菁, 林毓军, 齐晓光, 等. 考虑碳税与碳交易替代效应的电力系统低碳经济调度方法[J]. 电力建设, 2022, 43(6): 1-11.
ZHANG J, LIN Y J, QI X G, et al.Low-carbon economic dispatching method for power system considering the substitution effect of carbon tax and carbon trading[J]. Electric power construction, 2022, 43(6): 1-11.
[15] 胡静哲, 王旭, 蒋传文, 等. 考虑区域碳排放均衡性的电力系统最优阶梯碳价[J]. 电力系统自动化, 2020, 44(6): 98-105.
HU J Z, WANG X, JIANG C W, et al.Optimal tiered carbon price of power system considering equilibrium of regional carbon emission[J]. Automation of electric power systems, 2020, 44(6): 98-105.
[16] 陈志, 胡志坚, 翁菖宏, 等. 基于阶梯碳交易机制的园区综合能源系统多阶段规划[J]. 电力自动化设备, 2021, 41(9): 148-155.
CHEN Z, HU Z J, WENG C H, et al.Multi-stage planning of park-level integrated energy system based on ladder-type carbon trading mechanism[J]. Electric power automation equipment, 2021, 41(9): 148-155.
[17] 刘忠, 张乐, 寇攀高, 等. 并网型风电-光伏-抽水蓄能-蓄电池系统容量优化配置[J]. 动力工程学报, 2023, 43(9): 1151-1159.
LIU Z, ZHANG L, KOU P G, et al.Capacity allocation optimization on grid connected system consisting of wind power, photovoltaic power, pumped storage and battery[J]. Journal of Chinese Society of Power Engineering, 2023, 43(9): 1151-1159.
[18] 刘忠, 陈星宇, 邹淑云, 等. 计及碳排放的风-光-抽水蓄能系统容量优化配置方法[J]. 电力系统自动化, 2021, 45(22): 9-18.
LIU Z, CHEN X Y, ZOU S Y, et al.Optimal capacity configuration method for wind-photovoltaic-pumped-storage system considering carbon emission[J]. Automation of electric power systems, 2021, 45(22): 9-18.
[19] 车兵, 李轩, 郑建勇, 等. 基于LHS与BR的风电出力场景分析研究[J]. 电力工程技术, 2020, 39(6): 213-219.
CHE B, LI X, ZHENG J Y, et al.Scenario analysis of wind power output based on LHS and BR[J]. Electric power engineering technology, 2020, 39(6): 213-219.
[20] 中华人民共和国生态环境部. 关于做好2021、2022年度全国碳排放权交易配额分配相关工作的通知:国环规气候[2023]1号[EB/OL].https://www.mee.gov.cn/xxgk2018/xxgk/xxgk03/202303/t20230315_1019707.html.
Ministry of Ecology and Environment of the People’s Republic of China. Notice on doing a good job in the allocation of national carbon emission trading quotas for the years2021 and 2022: State Environmental Regulation and Climate Change[2023] No.1[EB/OL]. https://www.mee.gov.cn/xxgk2018/xxgk/xxgk03/202303/t20230315_1019707.html.
[21] 任智君, 郭红霞, 杨苹, 等. 含高比例可再生能源配电网灵活资源双层优化配置[J]. 太阳能学报, 2021, 42(9): 33-38.
REN Z J, GUO H X, YANG P, et al.Double-layer optimal configuration of flexible resources with high proportion of renewable energy distribution network[J]. Acta energiae solaris sinica, 2021, 42(9): 33-38.
[22] 罗仕华, 胡维昊, 黄琦, 等. 市场机制下光伏/小水电/抽水蓄能电站系统容量优化配置[J]. 电工技术学报, 2020, 35(13): 2792-2804.
LUO S H, HU W H, HUANG Q, et al.Optimization of photovoltaic/small hydropower/pumped storage power station system sizing under the market mechanism[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2792-2804.
[23] 李淑霞, 杨俊成. 基于灰狼优化算法的社交网络影响力识别算法[J]. 计算机应用与软件, 2021, 38(10): 297-303.
LI S X, YANG J C.Influence recognition algorithm of online social networks based on grey wolf optimization algorithm[J]. Computer applications and software, 2021, 38(10): 297-303.
[24] 李鑫, 王娟, 邱亚, 等. 基于VMD的混合储能容量优化配置[J]. 太阳能学报, 2022, 43(2): 88-96.
LI X, WANG J, QIU Y, et al.Optimal allocation of hybrid energy storage capacity based on variational mode decomposition[J]. Acta energiae solaris sinica, 2022, 43(2): 88-96.
[25] 罗海荣, 张庆平, 徐帆, 等. 用于火电机组二次调频的混合储能系统容量配置优化方法[J]. 宁夏电力, 2022(5): 50-57.
LUO H R, ZHANG Q P, XU F, et al.Capacity configuration optimization method of hybrid energy storage system for secondary frequency regulation of thermal power unit[J]. Ningxia electric power, 2022(5): 50-57.
[26] 吴俊达, 赵毅, 孙文瑶. 适用于环境-经济调度需求的火电机组碳排放特性模型[J]. 综合智慧能源, 2022, 44(11): 56-62.
WU J D, ZHAO Y, SUN W Y.Carbon emission characteristics model of thermal power units for environmental economic dispatch[J]. Integrated intelligent energy, 2022, 44(11): 56-62.
[27] DING L, GE Q B.Electricity market clearing price forecast based on adaptive Kalman filter[C]//2018 International Conference on Control, Automation and Information Sciences (ICCAIS). Hangzhou, China, 2018: 417-421.