Economic Calculation of Storage Configuration Scheme for New Energy Side in the Electric Power Spot Market Environment

Jianwei LI; Limei ZHAO; Kun HE; Huimeng MA; Haoyi DU; Lulu ZHAO; Huanjun CHEN

doi:10.16513/j.2096-2185.DE.2308504

TSINGHUA JOURNALS HOME

Source Journal for Chinese Scientific and Technical Papers and Citations

RCCSE Chinese Core Academic Journals

Classification Catalogue of High Quality Scientific Journals in the field of Energy and Power

Classification Catalogue of High Quality Scientific Journals in Coal Field

PDF(1093 KB)

Distributed Energy ›› 2023, Vol. 8 ›› Issue (5) : 29-35. DOI: 10.16513/j.2096-2185.DE.2308504

Basic Research

Economic Calculation of Storage Configuration Scheme for New Energy Side in the Electric Power Spot Market Environment

Jianwei LI ¹^,² ,
Limei ZHAO ¹ ,
Kun HE ³ ,
Huimeng MA ⁴ ,
Haoyi DU ³ ,
Lulu ZHAO ³ ,
Huanjun CHEN ³

Author information +

History +

Abstract

Energy storage is an important supporting means for the development of the power system towards a high proportion of renewable energy. With the continuous increase in renewable energy generation, the development of power side energy storage technology is of great significance. Firstly, based on the analysis of the domestic electricity market environment, taking Shanxi Province as an example, this paper conducts an analysis of the benefits, assessment policies, and energy storage demand of new energy power stations in the electricity energy market and the "Two Detailed Rules" . Then, a revenue calculation model is established with the goal of maximizing energy storage revenue, taking into account factors such as electricity prices, excess profit recovery, and power prediction accuracy assessment. Finally, the benefit of new energy side energy storage has been simulated and calculated. The result indicates that different energy storage configuration schemes have significant differences in investment economics.

Key words

energy storage / electricity spot market / new energy power station / economic calculation

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Jianwei LI , Limei ZHAO , Kun HE , et al . Economic Calculation of Storage Configuration Scheme for New Energy Side in the Electric Power Spot Market Environment[J]. Distributed Energy Resources. 2023, 8(5): 29-35 https://doi.org/10.16513/j.2096-2185.DE.2308504

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	张婧竹. 新能源电源侧储能技术现状及壁垒分析[J]. 科技和产业，2023, 23(10):219-227. ZHANG Jingzhu. Analyzing technology status and barriers in grid-scale energy storage for renewable power generation[J]. Science Technology and Industry, 2023, 23(10):219-227. Cited in this article [1]

[2]	叶春，刘志强，李云凝，等. 新能源配储能的现状、挑战及发展建议[J]. 中国电力企业管理，2022(34):47-51. Cited in this article [1]

[3]	陈大宇. 含电储能系统的新型辅助服务市场研究[D]. 北京：华北电力大学，2016. CHEN Dayu. Research on new ancillary service market with energy storage participation[D]. Beijing: North China Electric Power University, 2016. Cited in this article [1]

[4]

肖云鹏，张兰，张轩，等. 包含独立储能的现货电能量与调频辅助服务市场出清协调机制[J]. 中国电机工程学报，2020, 40():167-180.

Abstract

增刊1

XIAO

Yunpeng

, ZHANG

Lan

, ZHANG

Xuan

, et al. The coordinated market clearing mechanism for spot electric energy and regulating ancillary service incorporating independent energy storage resources[J]. Proceedings of the CSEE, 2020, 40():167-180.

Cited in this article [1] Abstract

[5]	李相俊，官亦标，胡娟，等. 我国储能示范工程领域十年(2012—2022)回顾[J]. 储能科学与技术，2022, 11(9):2702-2712. LI Xiangjun, GUAN Yibiao, HU Juan, et al. Review of energy storage application in China from 2012 to 2022[J]. Energy Storage Science and Technology, 2022, 11(9):2702-2712. Cited in this article [1]

[6]	马锐，李相俊，李文启，等. 可再生能源供电区域电网中储能系统协同调度策略[J]. 发电技术，2021, 42(1):31-39. MA Rui, LI Xiangjun, LI Wenqi, et al. Cooperative scheduling strategy of energy storage systems for regional grid supplied by renewable energy[J]. Power Generation Technology, 2021, 42(1):31-39. Cited in this article [1]

[7]	李红霞，李建林，米阳. 新能源侧储能优化配置技术研究进展[J]. 储能科学与技术，2022, 11(10):3257-3267. LI Hongxia, LI Jianlin, MI Yang, et al. Summary of research on new energy side energy storage optimization configuration technology[J]. Energy Storage Science and Technology, 2022, 11(10):3257-3267. Cited in this article [1]

[8]	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, et al. Review of energy storage configuration technology research on renewable energy side[J]. Electric Power, 2022, 55(1):13-25. Cited in this article [1]

[9]	李大祥，张新松. 用户侧电池储能系统运行策略优化与效益分析[J]. 智慧电力，2021, 49(12):31-36. LI Daxiang, ZHANG Xinsong. Operation strategy optimization and benefits analysis of user side battery energy storage systems[J]. Smart Power, 2021, 49(12):31-36. Cited in this article [1]

[10]	许志军，臧鹏程，白格平，等. 考虑风储联合运行系统经济性的储能配置优化[J]. 内蒙古电力技术，2022, 40(4):47-53. XU Zhijun, ZANG Pengcheng, BAI Geping, et al. Energy storage configuration optimization considering economy of wind-storage combined operation system[J]. Inner Mongolia Electric Power, 2022, 40(4):47-53. Cited in this article [1]

[11]	成林. 加快我国新型储能发展的思考[J]. 能源研究与管理，2023(2):148-152;148-152,159. CHENG Lin. Thoughts on accelerating the development of new energy storage in China[J]. Energy Research and Management, 2023(2):148-152;148-152,159. Cited in this article [1]

[12]	张全斌. 基于零碳排放模式的氢气储能应用场景展望[J]. 分布式能源，2021, 6(4):56-62. ZHANG Quanbin. Perspective on application scenario of hydrogen energy storage based on zero carbon emission[J]. Distributed Energy, 2021, 6(4):56-62. Cited in this article [1]

[13]

马速良，马会萌，蒋小平，等. 基于Bloch球面的量子遗传算法的混合储能系统容量配置[J]. 中国电机工程学报，2015, 35(3):592-599.

Suliang

, MA

Huimeng

, JIANG

Xiaoping

, et al. Capacity configuration of the hybrid energy storage system based on Bloch spherical quantum genetic algorithm[J]. Proceedings of the CSEE, 2015, 35(3):592-599.

Cited in this article [1]

[14]	马速良，蒋小平，马会萌，等. 平抑风电波动的混合储能系统的容量配置[J]. 电力系统保护与控制，2014, 42(8):108-114. MA Suliang, JIANG Xiaoping, MA Huimeng, et al. Capacity configuration of the hybrid energy storage system for wind power smoothing[J]. Power System Protection and Control, 2014, 42(8):108-114. Cited in this article [1]

[15]

石涛，张斌，晁勤，等. 兼顾平抑风电波动和补偿预测误差的混合储能容量经济配比与优化控制[J]. 电网技术，2016, 40(2):477-483.

SHI

Tao

, ZHANG

Bin

, CHAO

Qin

, et al. Economic storage ratio and optimal control of hybrid energy capacity combining stabilized wind power fluctuations with compensated predictive errors[J]. Power System Technology, 2016, 40(2):477-483.

Cited in this article [1]

[16]	王明，李欣然，谭绍杰，等. 考虑经济性的风储联合双应用的储容配置方法[J]. 电力系统及其自动化学报，2017, 29(2):7-13. WANG Ming, LI Xinran, TAN Shaojie, et al. Capacity configuration method of energy storage in wind-ESS coordination considering economic efficiency[J]. Proceedings of the CSU-EPSA, 2017, 29(2):7-13. Cited in this article [1]

[17]	JIANG Y, KANG L, LIU Y. Multi-objective design optimization of a multi-type battery energy storage in photovoltaic systems[J]. Journal of Energy Storage, 2021, 39:102604. Cited in this article [1]

[18]	CHENG S, SUN W B, LIU W L. Multi-objective configuration optimization of a hybrid energy storage system[J]. Applied Sciences, 2017, 7(2):163. Cited in this article [1]

[19]	刘巨，姚伟，文劲宇，等. 一种基于储能技术的风电场虚拟惯量补偿策略[J]. 中国电机工程学报，2015, 35(7):1596-1605. LIU Ju, YAO Wei, WEN Jinyu, et al. A wind farm virtual inertia compensation strategy based on energy storage system[J]. Proceedings of the CSEE, 2015, 35(7):1596-1605. Cited in this article [1]

[20]

苗福丰，唐西胜，齐智平. 储能参与风电场惯性响应的容量配置方法[J]. 电力系统自动化，2015, 39(20):6-11;6-11,83.

MIAO

Fufeng

, TANG

Xisheng

, QI

Zhiping

, et al. Capacity configuration method for wind power plant inertia response considering energy storage[J]. Automation of Electric Power Systems, 2015, 39(20):6-11;6-11,83.

Cited in this article [1]

[21]

张波，张晓磊，贾焦心. 基于惯量支撑和一次调频需求的VSG储能单元配置方法[J]. 电力系统自动化，2019, 43(23):202-209.

ZHANG

, ZHANG

Xiaolei

, JIA

Jiaoxin

. Configuration method for energy storage unit of virtual synchronous generator based on requirements of inertia support and primary frequency regulation[J]. Automation of Electric Power Systems, 2019, 43(23):202-209.

Cited in this article [1]

[22]	YE H, TANG Y, LIU Y, et al. Transient frequency response model-based energy storage optimum size in power systems[C]//2017 IEEE International Conference on Energy Internet (ICEI). Beijing, China: IEEE, 2017: 65-71. Cited in this article [1]

[23]	王勇，游大宁，房光华，等. 山东电力现货市场机制设计与试运行分析[J]. 中国电力，2020, 53(9):38-46. WANG Yong, YOU Daning, FANG Guanghua, et al. Mecha-nism design and trial operation analysis of Shandong power spot market[J]. Electric Power, 2020, 53(9):38-46. Cited in this article [1]

[24]	罗钢，马辉，陈晔，等. 南方(以广东起步)电力现货市场模拟运行分析[J]. 南方电网技术，2018, 12(12):49-54. LUO Gang, MA Hui, CHEN Ye, et al. Analysis of simulation operation of electricity spot market in southern China (starting from Guangdong province)[J]. Southern Power System Technology, 2018, 12(12):49-54. Cited in this article [1]

[25]	陈晔，陈雨果，刘文涛，等. 南方(以广东起步)电力辅助服务市场发展展望[J]. 南方电网技术，2018, 12(12):55-63. CHEN Ye, CHEN Yuguo, LIU Wentao, et al. Prospect for the development of power ancillary service market in southern China (starting from Guangdong)[J]. Southern Power System Technology, 2018, 12(12):55-63. Cited in this article [1]

[26]	张昆，刘映尚，彭超逸，等. 南方区域电力现货市场技术支持系统：出清功能部分[J]. 南方电网技术，2019, 13(9):59-66. ZHANG Kun, LIU Yingshang, PENG Chaoyi, et al. Technical support system for southern regional electricity spot market: Market clearing module[J]. Southern Power System Technology, 2019, 13(9):59-66. Cited in this article [1]