Configuration Method of Photovoltaic Storage Capacity in Microgrid System Based on Bi-Layer Optimization

LI Jiafeng,WANG Ying,CHENG Xiaoxuan,XIONG Xianzhi,SUN Jikang

Distributed Energy ›› 2024, Vol. 9 ›› Issue (1) : 80-88.

PDF(8528 KB)
PDF(8528 KB)
Distributed Energy ›› 2024, Vol. 9 ›› Issue (1) : 80-88. DOI: 10.16513/j.2096-2185.DE.2409110
Application Technology

Configuration Method of Photovoltaic Storage Capacity in Microgrid System Based on Bi-Layer Optimization

Author information +
History +

Abstract

Through researching the power consumption strategy of microgrid, a bi-layer optimization model for microgrid is proposed in response to the situation that the power supply capacity of industrial parks cannot meet the demand for electricity loads. In the outer layer of the optimization model, an economic benefit model of photovoltaic-energy storage system is established, and the model uses payback period and internal rate of return as evaluation indicators of economic benefits. In the inner layer, the operating states of the microgrid, load, and energy storage system are taken as constraint conditions, and the cooperation between distributed photovoltaic, energy storage system and load is considered synchronously, and the model uses power supply reliability as an evaluation index to set up charging and discharging operation strategies of battery storage system. This paper selects an industrial park in the northwest region as the application scenario, and solves the optimization model to determine the optimal capacity configuration of the microgrid system. At the same time, by comparing and analyzing between the improved optimization scheme and the energy storage capacity configuration scheme that meets continuous power supply, it is found that the proposed energy storage capacity configuration can achieve optimal economic benefits, and its effectiveness and feasibility of the model are verified in practice.

Key words

microgrid / storage capacity allocation / bi-layer optimization / economic benefit model of photovoltaic-energy storage system / reliability

Cite this article

Download Citations
Jiafeng LI , Ying WANG , Xiaoxuan CHENG , et al . Configuration Method of Photovoltaic Storage Capacity in Microgrid System Based on Bi-Layer Optimization[J]. Distributed Energy Resources. 2024, 9(1): 80-88 https://doi.org/10.16513/j.2096-2185.DE.2409110

References

[1]
DONG X, WU J, XU Z, et al. Optimal coordination of hydrogen-based integrated energy systems with combination of hydrogen and water storage[J]. Applied Energy, 2022, 308: 118274.
[2]
刘舒,李正力,王翼,等. 含分布式发电的微电网中储能装置容量优化配置[J]. 电力系统保护与控制2016, 44(3): 78-84.
LIU Shu, LI Zhengli, WANG Yi, et al. Optimal capacity allocation of energy storage in micro-grid with distributed generation[J]. Power System Protection and Control, 2016, 44(3): 78-84.
[3]
朱灿元,杨超,李舒涛,等. 考虑清洁能源与储能的分布式数据中心低碳调度策略[J]. 智慧电力2023, 51(2): 16-23.
ZHU Canyuan, YANG Chao, LI Shutao, et al. Low-carbon scheduling strategy for distributed data centers considering clean energy and energy storage[J]. Smart Power, 2023, 51(2): 16-23.
[4]
兰宇,龙妍,张哲豪,等. 可再生能源制氢跨省供应的技术经济可行性研究[J]. 发电技术2023, 43(4): 473-483.
LAN Yu, LONG Yan, ZHANG Zhehao, et al. Technical and economic feasibility of inter-provincial supply of renewable energy hydrogen production[J]. Power Generation Technology, 2023, 43(4): 473-483.
[5]
付晓敏. 含电/热储能清洁供暖系统容量配置与运行分析[J]. 分布式能源2022, 7(3): 44-51.
FU Xiaomin. Capacity configuration and operation analysis of clean heating system with electric/thermal energy storage[J]. Distributed Energy, 2022, 7(3): 44-51.
[6]
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.
[7]
孙玉树,杨敏,师长立,等. 储能的应用现状和发展趋势分析[J]. 高电压技术2020, 46(1): 80-89.
SUN Yushu, YANG Min, SHI Changli, et al. Analysis of application status and development trend of energy storage [J]. High Voltage Engineering, 2020, 46(1): 80-89.
[8]
李瑜,张占强,孟克其劳,等. 基于分层控制的孤岛微电网储能优化控制策略[J]. 储能科学与技术2022, 11(1): 176-184.
LI Yu, ZHANG Zhanqiang, MENG Keqilao, et al. Optimal control strategy for energy storage in island microgrid based on hierarchical control[J]. Energy Storage Science and Technology, 2022, 11(1): 176-184.
[9]
李瑞生. 微电网关键技术实践及实验[J]. 电力系统保护与控制2013, 41(2): 73-78.
LI Ruisheng. Practice and experiment of the key microgrid technologies[J]. Power System Protection and Control, 2013, 41(2): 73-78.
[10]
WOYTE A, THONG V V, BELMANS R. Voltage fluctuations on distribution level introduced by photovoltaic systems[J]. IEEE Transactions on Energy Conversion, 2006, 21(1): 202-209.
[11]
杨博,王俊婷,俞磊,等. 基于孔雀优化算法的配电网储能系统双层多目标优化配置[J]. 上海交通大学学报2022, 56(10): 1294-1307.
YANG Bo, WANG Junting, YU Lei, et al. Peafowl optimization algorithm based bi-level multi-objective optimal allocation of energy storage systems in distribution network[J]. Journal of Shanghai Jiao Tong University, 2022, 56(10): 1294-1307.
[12]
马速良,武亦文,李建林,等. 面向多服务目标需求的集中式电池储能优化配置方法研究[J]. 高压电器2023, 59(7): 75-86.
MA Suliang, WU Yiwen, LI Jianlin, et al. Research on optimal configuration of centralized battery energy storage for multiple service objectives[J]. High Voltage Apparatus, 2023, 59(7): 75-86.
[13]
CAO Y, ZHANG L. Research on multi-objective optimal configuration of distributed energy storage system[J]. Journal of Physics: Conference Series, 2023, 2527(1): 012008.
[14]
BA D, YANG Y, ZHANG Y, et al. Multi-objective optimal configuration analysis of energy storage system in distribution network based on improved lion colony algorithm[J]. Journal of Physics: Conference Series, 2022, 2401(1): 012092.
[15]
徐林,阮新波,张步涵,等. 风光蓄互补发电系统容量的改进优化配置方法[J]. 中国电机工程学报2012, 32(25): 88-98, 14.
XU Lin, RUAN Xinbo, ZHANG Buhan, et al. An improved optimal sizing method for wind-solar-battery hybrid power system[J]. Proceedings of the CSEE, 2012, 32(25): 88-98, 14.
[16]
朱兰,严正,杨秀,等. 风光储微网系统蓄电池容量优化配置方法研究[J]. 电网技术2012, 36(12): 26-31.
ZHU Lan, YAN Zheng, YANG Xiu, et al. Optimal configuration of battery capacity in microgrid composed of wind power and photovoltaic generation with energy storage[J]. Power System Technology, 2012, 36(12): 26-31.
[17]
刘振国,胡亚平,陈炯聪,等. 基于双层优化的微电网系统规划设计方法[J]. 电力系统保护与控制2015, 43(8): 124-133.
LIU Zhenguo, HU Yaping, CHEN Jiongcong, et al. A planning and design method for microgrid based on two-stage optimization[J]. Power System Protection and Control, 2015, 43(8): 124-133.
[18]
张驰,周骏,赵镔,等. 零碳园区电-氢混合储能系统多目标优化配置[J]. 电力建设2022, 43(8): 1-12.
ZHANG Chi, ZHOU Jun, ZHAO Bin, et al. Multi-objective optimal configuration of electricity-hydrogen hybrid energy storage system in zero-carbon park[J]. Electric Power Construction, 2022, 43(8): 1-12.
[19]
丁明,方慧,毕锐,等. 基于集群划分的配电网分布式光伏与储能选址定容规划[J]. 中国电机工程学报2019, 39(8): 2187-2201, 2.
DING Ming, FANG Hui, BI Rui, et al. Optimal siting and sizing of distributed PV-storage in distribution network based on cluster partition[J]. Proceedings of the CSEE 2019, 39(8): 2187-2201, 2.
[20]
侯美倩,牛启帆,邢洁,等. 计及可靠性的含源配电网储能系统的优化配置[J]. 储能科学与技术2023, 12(2): 504-514.
HOU Meiqian, NIU Qifan, XING Jie, et al. Optimal configuration of energy storage system in active distribution network with the consideration of reliability[J]. Energy Storage Science and Technology, 2023, 12(2): 504-514.
[21]
李雄威,王昕,顾佳伟,等. 考虑火电深度调峰的风光火储系统日前优化调度[J]. 中国电力2023, 56(1): 1-7, 48.
LI Xiongwei, WANG Xin, GU Jiawei, et al. Day-ahead optimal dispatching of wind-solar-thermal power storage system considering deep peak shaving of thermal power[J]. Electric Power, 2023, 56(1): 1-7, 48.
[22]
郑雪阳. 独立海岛微网分布式电源容量优化设计[C]//中国电工技术学会学术年会:新能源发电技术论坛论文集. 威海:强电磁工程与新技术国家重点实验室(华中科技大学电气与电子工程学院), 国网山东省电力公司电力科学研究院,2013: 76-84.
[23]
谭忠富,谢品杰,王绵斌,等. 提高电能使用效率的可中断电价与峰谷分时电价的联合优化设计[J]. 电工技术学报2009, 24(5): 161-168.
TAN Zhongfu, XIE Pinjie, WANG Mianbin, et al. The optimal design of integrating interruptible price with peak-valley time-of-use power price based on improving electricity efficiency[J]. Transactions of China Electrotechnical Society, 2009, 24(5): 161-168.
PDF(8528 KB)

Accesses

Citation

Detail

Sections
Recommended

/