基于柔性互联的有源配电网储能系统双层优化配置

颜湘武, 靳瑞琦, 卢俊达, 贾焦心, 郭美辰, 吴鸣

太阳能学报 ›› 2025, Vol. 46 ›› Issue (9) : 303-312.

PDF(1200 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(1200 KB)
太阳能学报 ›› 2025, Vol. 46 ›› Issue (9) : 303-312. DOI: 10.19912/j.0254-0096.tynxb.2024-0845

基于柔性互联的有源配电网储能系统双层优化配置

  • 颜湘武1, 靳瑞琦1, 卢俊达1, 贾焦心1, 郭美辰1, 吴鸣2
作者信息 +

BI-LEVEL OPTIMAL CONFIGURATION OF ENERGY STORAGE SYSTEM IN ACTIVE DISTRIBUTION NETWORK BASED ON FLEXIBLE INTERCONNECTION

  • Yan Xiangwu1, Jin Ruiqi1, Lu Junda1, Jia Jiaoxin1, Guo Meichen1, Wu Ming2
Author information +
文章历史 +

摘要

针对高比例分布式电源接入下有源配电网产生的新能源消纳、馈线功率急剧波动、倒送和越限等问题,提出一种基于旋转潮流控制器柔性互联的有源配电网储能系统双层优化配置方法。首先,构建双层模型,规划层模型以全寿命周期内旋转潮流控制器(RPFC)和储能配置下系统回收期为优化目标,实现RPFC和储能位置与容量的最优配置,运行层模型以配电网年运行成本为优化目标,引入RPFC将柔性互联作为灵活性调节资源参与运行优化。其次,采用Pulp求解器与遗传算法混合优化求解储能优化配置模型。最后,通过IEEE 33节点算例进行仿真,结果验证所提RPFC和储能联合配置方案在配有柔性互联装置的配电网中具有适用性,能有效改善弃风弃光、馈线功率倒送和越限等问题,提高新能源消纳率、系统的灵活性和经济性。

Abstract

Aiming at the problems of wind and solar curtailment, reverse transmission and over-limit of feeder power caused by the access of distributed generation in high-penetration active distribution network, this paper proposes a bi-level optimal configuration method of energy storage system based on flexible interconnection of rotating power flow controller. Firstly, a bi-level framework is presented, where the objective is to minimize the payback period of RPFC and energy storage combined system in the outer planning layer to realize the optimal configuration of RPFC and energy storage location and capacity, and the objective is to minimize the annual operation cost in the inner operation layer with RPFC participating in the operation optimization as a flexible adjustment resource. Secondly, the hybrid optimization of genetic algorithm and Pulp solver is used to solve the optimal configuration model. Finally, the optimal configuration model is verified on the example of IEEE 33-node. The results verify the applicability of the proposed optimal configuration scheme of RPFC and energy storage combined system, which can effectively promote the renewable energy consumption, and improve flexibility and economy of system.

关键词

配电网 / 储能 / 选址 / 柔性互联 / 旋转潮流控制器 / 优化配置

Key words

distribution networks / energy storage / site selection / flexible interconnection / rotating power flow controller / optimal configuration

引用本文

导出引用
颜湘武, 靳瑞琦, 卢俊达, 贾焦心, 郭美辰, 吴鸣. 基于柔性互联的有源配电网储能系统双层优化配置[J]. 太阳能学报. 2025, 46(9): 303-312 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0845
Yan Xiangwu, Jin Ruiqi, Lu Junda, Jia Jiaoxin, Guo Meichen, Wu Ming. BI-LEVEL OPTIMAL CONFIGURATION OF ENERGY STORAGE SYSTEM IN ACTIVE DISTRIBUTION NETWORK BASED ON FLEXIBLE INTERCONNECTION[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 303-312 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0845
中图分类号: TM73   

参考文献

[1] FAN S, HE G Y, ZHOU X Y, et al.Online optimization for networked distributed energy resources with time-coupling constraints[J]. IEEE transactions on smart grid, 2020, 12(1): 251-267.
[2] 丁明, 王伟胜, 王秀丽, 等. 大规模光伏发电对电力系统影响综述[J]. 中国电机工程学报, 2014, 34(1): 1-14.
DING M, WANG W S, WANG X L, et al.A review on the effect of large-scale PV generation on power systems[J]. Proceedings of the CSEE, 2014, 34(1): 1-14.
[3] 郝丽丽, 王辉, 王国栋, 等. 含分布式电源配电网运行风险的影响因素溯源[J]. 电力自动化设备, 2021, 41(1): 27-37.
HAO L L, WANG H, WANG G D, et al.Influence factor tracing of operation risk for distribution network with distributed generations[J]. Electric power automation equipment, 2021, 41(1): 27-37.
[4] 张婷. 新型电力系统混合储能方案优选及优化配置模型研究[D]. 北京: 华北电力大学, 2022.
ZHANG T.Research on scheme optimization and optimal allocation model of hybrid energy storage in the new power system[D]. Beijing: North China Electric Power University, 2022.
[5] 李建林, 郭斌琪, 牛萌, 等. 风光储系统储能容量优化配置策略[J]. 电工技术学报, 2018, 33(6): 1189-1196.
LI J L, GUO B Q, NIU M, et al.Optimal configuration strategy of energy storage capacity in wind/PV/storage hybrid system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196.
[6] 陈泽西, 孙玉树, 张妍, 等. 考虑风光互补的储能优化配置研究[J]. 电工技术学报, 2021, 36(增刊1): 145-153.
CHEN Z X, SUN Y S, ZHANG Y, et al.Research on energy storage optimal allocation considering complementarity of wind power and PV[J]. Transactions of China Electrotechnical Society, 2021, 36(S1): 145-153.
[7] LI D S, CAI W J.Optimal configuration of photovoltaic energy storage capacity for large power users[J]. Energy reports, 2021, 7: 468-478.
[8] 杜锡力, 李笑竹, 陈来军, 等. 面向多场景调节需求的集中式共享储能鲁棒优化配置[J]. 电工技术学报, 2022, 37(23): 5911-5921.
DU X L, LI X Z, CHEN L J, et al.Robust and optimized configuration of centralized shared energy storage for multi-scenario regulation demand[J]. Transactions of China Electrotechnical Society, 2022, 37(23): 5911-5921.
[9] 李昕如, 沈瑾, 陈卓航. 考虑用户分摊调峰辅助服务费用的微网梯次电池储能优化配置[J]. 太阳能学报, 2024, 45(5): 217-224.
LI X R, SHEN J, CHEN Z H.Optimization of microgrid secondary batteries energy storage considering user-shared peak-shaving auxiliary service cost[J]. Acta energiae solaris sinica, 2024, 45(5): 217-224.
[10] ZHAO P Q, GU C J, LI F S, et al.Battery storage configuration for multi-energy microgrid considering primary frequency regulation and demand response[J]. Energy reports, 2022, 8: 1175-1183.
[11] 杨帆, 王维庆, 王海云, 等. 计及储能放电折损的风储一次调频配置优化方法研究[J]. 太阳能学报, 2022, 43(10): 416-423.
YANG F, WANG W Q, WANG H Y, et al.Research on optimization method of primary frequency regulation configuration of wind-storage system considering discharge loss of energy storage[J]. Acta energiae solaris sinica, 2022, 43(10): 416-423.
[12] ZHENG Y, SONG Y, HUANG A, et al.Hierarchical optimal allocation of battery energy storage systems for multiple services in distribution systems[J]. IEEE transactions on sustainable energy, 2020, 11(3): 1911-1921.
[13] 郭沛. 考虑平抑电压波动的交直流配电网储能优化配置[J]. 电气技术, 2021, 22(9): 90-94, 102.
GUO P.Optimal configuration of energy storage in AC/DC distribution network considering stablilizing voltage fluctuation[J]. Electrical engineering, 2021, 22(9): 90-94, 102.
[14] 陆燕娟, 潘庭龙, 杨朝辉. 计及电动汽车的社区微网储能容量配置[J]. 太阳能学报, 2021, 42(12): 362-367.
LU Y J, PAN T L, YANG C H.Energy storage capacity configuration in community microgrid considering electric vehicles[J]. Acta energiae solaris sinica, 2021, 42(12): 362-367.
[15] 杨丽君, 杨博, 安立明, 等. 考虑电动汽车响应的光储微电网储能优化配置[J]. 太阳能学报, 2020, 41(4): 340-347.
YANG L J, YANG B, AN L M, et al.Optimal configuration of grid-connected PV-and-storage microgrid considering EVS' demand response[J]. Acta energiae solaris sinica, 2020, 41(4): 340-347.
[16] WANG P, LI H W.Coordinated planning of soft open point and energy store system in active Distribution networks under source-load imbalance[J]. Electric power systems research, 2024, 231: 110324.
[17] BAI L Q, JIANG T, LI F X, et al.Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability[J]. Applied energy, 2018, 210: 1082-1091.
[18] 黄志强, 陈业伟, 毛志鹏, 等. 柔性多状态开关与分布式储能系统联合接入规划[J]. 电力系统自动化, 2022, 46(14): 29-37.
HUANG Z Q, CHEN Y W, MAO Z P, et al.Joint access planning of soft open point and distributed energy storage system[J]. Automation of electric power systems, 2022, 46(14): 29-37.
[19] LI J G, ZHANG L, ZHANG B, et al.Coordinated planning for flexible interconnection and energy storage system in low-voltage distribution networks to improve the accommodation capacity of photovoltaic[J]. Global energy interconnection, 2023, 6(6): 700-713.
[20] 谭振龙, 张春朋, 姜齐荣, 等. 旋转潮流控制器与统一潮流控制器和Sen Transformer的对比[J]. 电网技术, 2016, 40(3): 868-874.
TAN Z L, ZHANG C P, JIANG Q R, et al.Comparative research on rotary power flow controller, unified power flow controller and Sen Transformer[J]. Power system technology, 2016, 40(3): 868-874.
[21] 颜湘武, 邵晨, 彭维锋, 等. 基于旋转式潮流控制器的有源配电网柔性合环及紧急功率控制方法[J]. 中国电机工程学报, 2023, 43(16): 6192-6205.
YAN X W, SHAO C, PENG W F, et al.Flexible loop closing and emergency power control method for active distribution network based on the rotary power flow controller[J]. Proceedings of the CSEE, 2023, 43(16): 6192-6205.
[22] 颜湘武, 彭维锋, 贾焦心, 等. 基于转速自适应控制的旋转潮流控制器功率调节方法研究[J]. 中国电机工程学报, 2023, 43(13): 4971-4987.
YAN X W, PENG W F, JIA J X, et al.Research on power regulation method of rotary power flow controller based on speed adaptive control[J]. Proceedings of the CSEE, 2023, 43(13): 4971-4987.
[23] 袁铁江, 张昱, 栗磊, 等. 计及功率密度约束含氢储能的预装式多元储能电站容量优化配置研究[J]. 电工技术学报, 2021, 36(3): 496-506.
YUAN T J, ZHANG Y, LI L, et al.Capacity optimization configuration of pre-installed multi-energy storage power station considering power density constrained hydrogen storage[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 496-506.
[24] 王成山, 宋关羽, 李鹏, 等. 考虑分布式电源运行特性的有源配电网智能软开关SOP规划方法[J]. 中国电机工程学报, 2017, 37(7): 1889-1897.
WANG C S, SONG G Y, LI P, et al.Optimal configuration of soft open point for active distribution network considering the characteristics of distributed generation[J]. Proceedings of the CSEE, 2017, 37(7): 1889-1897.

基金

国家电网有限公司总部科技项目(5108-202218280A-2-227-XG)

PDF(1200 KB)

Accesses

Citation

Detail

段落导航
相关文章

/