Efficient Consumption Methods of Multi-Area Distributed Photovoltaic Energy for Active Distribution Network with Differentiated Scheduling for Cloud Energy Storage

doi:10.3969/j.issn.1008-0198.2024.03.019

Hunan Electric Power ›› 2024, Vol. 44 ›› Issue (3): 136-144.doi: 10.3969/j.issn.1008-0198.2024.03.019

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Efficient Consumption Methods of Multi-Area Distributed Photovoltaic Energy for Active Distribution Network with Differentiated Scheduling for Cloud Energy Storage

ZHOU Zhongyu, KONG Xiaomin, HAO Pei, WANG Xiaodong, ZHANG Ning, SU Chuanchuan

Shandong Guohua Kuncheng Qiyuan New Energy Co., Ltd., Dezhou 253000, China

Received:2023-12-14 Revised:2024-04-26 Online:2024-06-25 Published:2024-07-10

Abstract

Abstract: :In order to take into account the interests of both cloud energy storage operators and regional microgrid energy storage users, this paper proposes a multi-area distributed photovoltaic efficient elimination method for cloud energy storage differential regulation of active distribution network, and establishes a two-layer optimization model according to the different focused problems. The upper model takes the operating cost of cloud energy storage power station as the optimization goal, and decides the differential energy storage price of multi-area microgrid. The lower model optimizes the power cost of microgrid in different regions based on energy storage price, and improves the distributed photovoltaic utilization of microgrid. Finally, the model is solved by combining genetic algorithm and Gurobi solver. The analysis of the example shows that the differential regulation for cloud energy storage is beneficial to improve distributed photovoltaic absorption rate of multi region for distribution network while taking into account the interests of both cloud energy storage power station and regional microgrid.

Key words: cloud energy storage, energy storage power station, regional microgrid, distributed photovoltaics, differentiated scheduling

CLC Number:

F426

ZHOU Zhongyu, KONG Xiaomin, HAO Pei, WANG Xiaodong, ZHANG Ning, SU Chuanchuan. Efficient Consumption Methods of Multi-Area Distributed Photovoltaic Energy for Active Distribution Network with Differentiated Scheduling for Cloud Energy Storage[J]. Hunan Electric Power, 2024, 44(3): 136-144.

References

[1]任大伟,侯金鸣,肖晋宇,等. 支撑双碳目标的新型储能发展潜力及路径研究[J]. 中国电力, 2023, 56 (8): 17-25.
[2]赵冬梅,徐辰宇,陶然,等. 多元分布式储能在新型电力系统配电侧的灵活调控研究综述[J]. 中国电机工程学报, 2023, 43 (5): 1776-1799.
[3]李咸善,方子健,李飞,等. 含多微电网租赁共享储能的配电网博弈优化调度[J]. 中国电机工程学报, 2022, 42 (18): 6611-6625.
[4]马玉路. 风储联合运行参与电网一次调频优化控制技术[D].淄博:山东理工大学, 2022.
[5]董翰龙. 考虑需求侧响应的主动配电网储能优化配置[D].南昌:南昌大学, 2020.
[6]刘帅,李华强,武姝凝,等. 考虑灵活性资源传输精细化建模的配电网优化运行[J/OL]. 电网技术, 1-15(2023-07-26)[2023-12-08]. https://doi.org/10.13335/j.1000-3673.pst.2023.0398.
[7]姜云鹏,任洲洋,李秋燕,等. 考虑多灵活性资源协调调度的配电网新能源消纳策略[J]. 电工技术学报, 2022, 37 (7): 1820-1835.
[8]SIM J, KIM M, KIM D, et al. Cloud energy storage system operation with capacity P2P transaction[J]. Energies,2021, 14(12): 339.
[9]吕斌,黄丹,丁宏,等. 基于共享储能的台区多元负荷协同控制策略[J]. 电力自动化设备, 2024,44(1): 37-44.
[10]方子健. 含多微电网共享储能的主动配电网优化调度策略[D]. 宜昌:三峡大学, 2022.
[11]茅云寿. 面向共享储能的微能源网运行优化研究[D]. 广州:广东工业大学, 2022.
[12]帅轩越,马志程,王秀丽,等. 基于主从博弈理论的共享储能与综合能源微网优化运行研究[J]. 电网技术, 2023, 47 (2): 679-690.
[13]SAINI V K, GUPTA V, KUMAR R, et al. Cloud energy storage systems for consumers and prosumers in residential microgrids[C]//2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). Jaipar, India. IEEE, 2020: 1-6.
[14]ZHANG S, LI Y, LIU W, et al. Optimal planning of cloud energy storage system serving multiple high proportion renewable energy microgrids[C]//2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2).Chengdu,China. IEEE, 2022: 113-119.
[15]谢雨龙,罗逸飏,李智威,等. 考虑微网新能源经济消纳的共享储能优化配置[J]. 高电压技术, 2022, 48 (11): 4403-4413.
[16]吴盛军,李群,刘建坤,等. 基于储能电站服务的冷热电多微网系统双层优化配置[J]. 电网技术, 2021, 45 (10): 3822-3832.
[17]CHOI Y, KIM H. Optimal scheduling of energy storage system for self-sustainable base station operation considering battery wear-out cost[J]. Energies,2016, 9(6): 462.
[18]陈怀毅,胡英坤,杨毅,等.二阶锥松弛在配电网最优潮流计算中的应用[J].电气应用,2020,39(1):49-54.
[19]张世旭,李姚旺,刘伟生,等. 面向微电网群的云储能经济-低碳-可靠多目标优化配置方法[J/OL]. 电力系统自动化, 1-14(2023-11-24)[2024-01-06]. http://kns.cnki.net/kcms/detail/32.1180.TP.20231123.1059.004.html.
[20]陆宝奇,蒋伟,杨俊杰,等. 基于云储能容量动态分配的微电网系统双层优化模型[J/OL]. 现代电力, 1-9(2023-11-24)[2024-01-10]. https://doi.org/10.19725/j.cnki.1007-2322.2022.0498.

Efficient Consumption Methods of Multi-Area Distributed Photovoltaic Energy for Active Distribution Network with Differentiated Scheduling for Cloud Energy Storage

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