基于负荷划分的农业园区储能优化配置研究

程龙; 邱爽; 章子谦; 韩冰; 刘路; 宋延

doi:10.19912/j.0254-0096.tynxb.2025-0143

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (6) : 562-572. DOI: 10.19912/j.0254-0096.tynxb.2025-0143

基于负荷划分的农业园区储能优化配置研究

程龙¹, 邱爽¹, 章子谦¹, 韩冰², 刘路¹, 宋延³

作者信息 +

RESEARCH ON OPTIMAL ALLOCATION OF ENERGY STORAGE IN AGRICULTURAL PARKS BASED ON LOAD SEGMENTATION

Cheng Long¹, Qiu Shuang¹, Zhang Ziqian¹, Han Bing², Liu Lu¹, Song Yan³

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文章历史 +

摘要

针对农业园区新型电力系统中发电侧功率波动以及用电侧负荷需求多样化、不确定导致的系统运行稳定性差和综合经济效益低等问题,构建一种基于负荷划分的储能容量优化配置模型。首先,依据负荷划分确定两阶段储能配置策略,针对常规负荷需求优先由光伏出力补充,分析不平衡功率,采用均方根（RMS）包络技术平抑波动功率;其次,针对农业负荷需求,构建净现值（NPV）为经济优化目标函数,以分时电价策略激励储能容量实现削峰填谷、消纳补偿;最后,以某农业园区夏、冬两季数据为例,且以粒子群算法为优化工具,得到两阶段优化配置结果：夏、冬两季负荷整体功率波动分别下降约32%和27%,负荷峰谷差率分别下降13.1%、14.4%,储能综合经济收益相较于直接配置方法提高21%。算例验证了所提方法能有效降低微电网功率波动问题,提高储能配置带来的综合经济收益。

Abstract

The new power system in agricultural parks faced the problems of poor system operation stability and low comprehensive economic efficiency due to power fluctuation on the generation side and diverse and uncertain load demand on the consumption side. For this reason, this paper constructed a model of optimized allocation of energy storage capacity based on load division, aiming to improve the stability and economic efficiency of the system. Firstly, a two-stage energy storage allocation tactic was determined in accordance with load segmentation. In this regard, the conventional load demand was preferentially supplemented by photovoltaic power, and the root-mean-square （RMS） envelope technique was harnessed to quell the unsteady power oscillations. Secondly, for the agricultural load demand, the net present value （NPV） was constructed as the optimization objective function. This was then conjoined with the time-of-use tariff strategy to impel the energy storage capacity to perform peak shaving, valley filling, and consumption compensation. Finally, by leveraging the summer and winter data of an agricultural park and deploying the particle swarm optimization algorithm, the outcomes of the two-stage allocation were attained. Namely, the overall power oscillations of the summer and winter loads are abated by around 32% and 27% respectively. The peak-to-valley ratios of the loads are lessened by 13.1% and 14.4% respectively. Moreover, the comprehensive economic return of energy storage is enhanced by 21% when compared with the direct allocation method. The exemplifications corroborated that the methodology proposed in this paper could efficaciously attenuate the microgrid power fluctuation quandary and augment the comprehensive economic benefits engendered by energy storage allocation.

导出引用

程龙, 邱爽, 章子谦, 韩冰, 刘路, 宋延. 基于负荷划分的农业园区储能优化配置研究[J]. 太阳能学报. 2026, 47(6): 562-572 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0143

Cheng Long, Qiu Shuang, Zhang Ziqian, Han Bing, Liu Lu, Song Yan. RESEARCH ON OPTIMAL ALLOCATION OF ENERGY STORAGE IN AGRICULTURAL PARKS BASED ON LOAD SEGMENTATION[J]. Acta Energiae Solaris Sinica. 2026, 47(6): 562-572 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0143

中图分类号： TM732

参考文献

[1] 徐高远, 王晓晶. 计及动态碳排放对新能源消纳市场的价格研究[J]. 太阳能学报, 2024, 45(2): 360-367.
XU G Y, WANG X J.Price study on new energy consumption market considering dynamic carbon emissions[J]. Acta energiae solaris sinica, 2024, 45(2): 360-367.
[2] 王佳惠, 牛玉广, 陈玥, 等. 计及火电深度调峰的高比例可再生能源电力系统日前优化调度研究[J]. 太阳能学报, 2023, 44(1): 493-499.
WANG J H, NIU Y G, CHEN Y, et al.Research on day-ahead optimal dispatching of high-proportion renewable energy power system considering deep peak load regulation of thermal power[J]. Acta energiae solaris sinica, 2023, 44(1): 493-499.
[3] 胡泽春, 蔡福霖, 冯建洲. 兼顾新能源消纳与频率电压支撑的电池储能系统优化规划[J]. 电力自动化设备, 2024, 44(7): 3-12.
HU Z C, CAI F L, FENG J Z.Optimal planning of battery energy storage system considering renewable energy consumption and frequency and voltage support[J]. Electric power automation equipment, 2024, 44(7): 3-12.
[4] 赵超, 王斌, 孙志新, 等. 基于改进灰狼算法的独立微电网容量优化配置[J]. 太阳能学报, 2022, 43(1): 256-262.
ZHAO C, WANG B, SUN Z X, et al.Optimal configuration optimization of islanded microgrid using improved grey wolf optimizer algorithm[J]. Acta energiae solaris sinica, 2022, 43(1): 256-262.
[5] HAJIAGHASI S, SALEMNIA A, HAMZEH M.Hybrid energy storage system for microgrids applications: a review[J]. Journal of energy storage, 2019, 21: 543-570.
[6] 周竞, 耿建, 唐律, 等. 可调节负荷资源参与电力辅助服务市场规则分析与思考[J]. 电力自动化设备, 2022, 42(7): 120-127.
ZHOU J, GENG J, TANG L, et al.Rule analysis and cogitation for adjustable load resources participating in ancillary service market[J]. Electric power automation equipment, 2022, 42(7): 120-127.
[7] WU K L, GU J, MENG L, et al.An explainable framework for load forecasting of a regional integrated energy system based on coupled features and multi-task learning[J]. Protection and control of modern power systems, 2022, 7(1): 24.
[8] 王雯沁, 高红均, 王仁浚, 等. 考虑分布式电源支撑与农业设施协调的配电网分布鲁棒优化[J]. 电力系统自动化, 2023, 47(21): 89-98.
WANG W Q, GAO H J, WANG R J, et al.Distributionally robust optimization of distribution network considering distributed generator support and agricultural facility coordination[J]. Automation of electric power systems, 2023, 47(21): 89-98.
[9] 王婷, 李凤婷, 周远翔, 等. 基于新能源-负荷相似性的源荷储协调调峰优化调度[J]. 电力自动化设备, 2024, 44(3): 15-21.
WANG T, LI F T, ZHOU Y X, et al.Source-load-energy storage coordinated optimal scheduling for peak regulation based on new energy resource-load similarity[J]. Electric power automation equipment, 2024, 44(3): 15-21.
[10] 包文俊, 葛敏, 袁毅, 等. 计及需求响应的风光储独立微电网技术经济优化[J]. 太阳能学报, 2024, 45(5): 343-350.
BAO W J, GE M, YUAN Y, et al.Techno-economic optimization of wind/photovoltaic/storage independent microgrid considering demand response[J]. Acta energiae solaris sinica, 2024, 45(5): 343-350.
[11] 陈正, 杨建华, 靳开元, 等. 基于能源区块链的设施农业负荷时移与光伏就地消纳控制策略[J]. 电力自动化设备, 2021, 41(2): 47-55.
CHEN Z, YANG J H, JIN K Y, et al.Control strategy of time-shift facility agriculture load and photovoltaic local consumption based on energy blockchain[J]. Electric power automation equipment, 2021, 41(2): 47-55.
[12] 张晓虎, 倪景源. 考虑柔性负荷的联合发电系统低碳经济优化调度[J]. 太阳能学报, 2025, 46(6): 420-429.
ZHANG X H, NI J Y.Low-carbon economic optimal dispatch of combined power generation system considering flexible loads[J]. Acta energiae solaris sinica, 2025, 46(6): 420-429.
[13] FAN Z T, WAN Z R, GAO L S, et al.A multi-objective optimal configuration method for microgrids considering zero-carbon operation[J]. IEEE access, 2023, 11: 87366-87379.
[14] 刘道兵, 李珏岑, 齐越, 等. 考虑碳效益和运行策略的风电场储能优化配置[J]. 太阳能学报, 2025, 46(2): 664-675.
LIU D B, LI J C, QI Y, et al.Wind farm energy storage optimization confignration considering carbon benefit and operation strategy[J]. Acta energiae solaris sinica, 2025, 46(2): 664-675.
[15] 郝丽丽, 吕肖旭, 丁逸行, 等. 考虑容量共享的新能源-电网-用户侧储能优化配置策略[J]. 中国电机工程学报, 2024, 44(14): 5607-5619.
HAO L L, LYU X X, DING Y X, et al.Optimal configuration strategy of renewable energy-grid-customer side energy storage considering capacity sharing[J]. Proceedings of the CSEE, 2024, 44(14): 5607-5619.
[16] 金凡凡, 郭瑞鹏, 林振智, 等. 考虑配电网供电可靠性与经济性的FTU优化配置[J]. 电力自动化设备, 2024, 44(12): 132-139.
JIN F F, GUO R P, LIN Z Z, et al.Optimal placement of FTUs considering power supply reliability and economy of distribution network[J]. Electric power automation equipment, 2024, 44(12): 132-139.
[17] 刘慧文, 王生铁, 刘广忱, 等. 风光柴储微电网容量优化配置的运行策略[J]. 太阳能学报, 2022, 43(9): 453-460.
LIU H W, WANG S T, LIU G C, et al.Operation strategy of optimal capacity configuration for microgrid with WT-PV-DE-BES[J]. Acta energiae solaris sinica, 2022, 43(9): 453-460.
[18] 董昱, 孙大雁, 许丹, 等. 新型电力系统电力电量平衡的挑战、应对与展望[J]. 中国电机工程学报, 2025, 45(6): 2039-2056.
DONG Y, SUN D Y, XU D, et al.Challenges, response and prospects for power balance in new power systems[J]. Proceedings of the CSEE, 2025, 45(6): 2039-2056.
[19] 纪历, 杨晓伟, 陈振宇, 等. 考虑农业电排灌负荷的配电网运行优化策略研究[J]. 电力需求侧管理, 2020, 22(4): 66-70, 76.
JI L, YANG X W, CHEN Z Y, et al.Research on power distribution network operation optimization strategy considering agricultural electric drainage and irrigation load[J]. Power demand side management, 2020, 22(4): 66-70, 76.
[20] 王君勤, 叶生进, 樊毅. 中国不同气候区参考作物蒸散量计算模型适用性评价[J]. 节水灌溉, 2022(3): 82-91.
WANG J Q, YE S J, FAN Y.Applicability evaluation of reference crop evapotranspiration calculation models in different climatic regions of China[J]. Water saving irrigation, 2022(3): 82-91.
[21] 陈艳波, 田昊欣, 刘宇翔, 等. 计及电动汽车需求响应的高速公路服务区光储充鲁棒优化配置[J]. 中国电机工程学报, 2025, 45(5): 1752-1766, I0011.
CHEN Y B, TIAN H X, LIU Y X, et al.Robust optimization configuration of photovoltaic-storage-charging integrated system in expressway service area considering demand response of electric vehicles[J]. Proceedings of the CSEE, 2025, 45(5): 1752-1766, I0011.
[22] 孙玉树, 唐西胜, 孙晓哲, 等. 风电波动平抑的储能容量配置方法研究[J]. 中国电机工程学报, 2017, 37(S1): 88-97.
SUN Y S, TANG X S, SUN X Z, et al.Research on energy storage capacity allocation method for smoothing wind power fluctuations[J]. Proceedings of the CSEE, 2017, 37(S1): 88-97.
[23] 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 C S, YU B, XIAO J, et al.Sizing of energy storage systems for output smoothing of renewable energy systems[J]. Proceedings of the CSEE, 2012, 32(16): 1-8.
[24] YAO M Q, CAI X.Energy storage sizing optimization for large-scale PV power plant[J]. IEEE access, 2021, 9: 75599-75607.
[25] 刘畅, 卓建坤, 赵东明, 等. 利用储能系统实现可再生能源微电网灵活安全运行的研究综述[J]. 中国电机工程学报, 2020, 40(1): 1-18.
LIU C, ZHUO J K, ZHAO D M, et al.A review on the utilization of energy storage system for the flexible and safe operation of renewable energy microgrids[J]. Proceedings of the CSEE, 2020, 40(1): 1-18.