基于随机鲁棒优化的配电网分布式光伏承载能力综合评估方法

翟苏巍; 张馨介; 李文云; 高天亮; 于全喜; 梁峻恺

doi:10.19912/j.0254-0096.tynxb.2024-0375

PDF(1949 KB)

太阳能学报 ›› 2025, Vol. 46 ›› Issue (7) : 624-635. DOI: 10.19912/j.0254-0096.tynxb.2024-0375

第二十七届中国科协年会学术论文

基于随机鲁棒优化的配电网分布式光伏承载能力综合评估方法

翟苏巍¹, 张馨介¹, 李文云¹, 高天亮², 于全喜², 梁峻恺¹

作者信息 +

COMPREHENSIVE EVALUATION METHOD FOR DISTRIBUTED PHOTOVOLTAIC HOSTING CAPACITY OF DISTRIBUTION NETWORKS BASED ON STOCHASTIC ROBUST OPTIMIZATION

Zhai Suwei¹, Zhang Xinjie¹, Li Wenyun¹, Gao Tianliang², Yu Quanxi², Liang Junkai¹

Author information +

文章历史 +

摘要

为有效评估配电网的分布式光伏承载能力,提出一种基于随机鲁棒优化的配电网分布式光伏承载能力综合评估方法。首先,采用K-均值聚类方法对配电网负荷水平进行聚类。然后,利用随机优化算法来应对负荷水平的不确定性。针对光伏出力的不确定性和传统盒式不确定集合的局限性,提出多区间不确定集合来描述分布式光伏出力的波动性。接着,综合考虑到电网的安全性、充裕性和经济性,建立基于随机鲁棒优化的配电网分布式光伏承载能力综合评估模型。最后,通过某地区10 kV配电系统仿真验证表明,通过该方法可全面合理地分析配电网内分布式光伏的承载力,提升评估准确性。

Abstract

In order to effectively evaluate the distributed photovoltaic hosting capacity of distribution network, a comprehensive evaluation method of distributed photovoltaic hosting capacity of distribution network based on stochastic robust optimization is proposed. Firstly, the K-means clustering method is used to cluster the load levels of the distribution network. Then, a stochastic optimization algorithm is used to deal with the load level uncertainties. Aiming at the uncertainties of photovoltaic output and the limitation of traditional box uncertainty set, a multi-interval uncertainty set is proposed to describe the fluctuation of distributed photovoltaic output. Then, considering the security, adequacy and economy of the power grid, a comprehensive evaluation model of distributed photovoltaic hosting capacity of distribution network based on stochastic robust optimization is established. Finally, the simulation verification of 10 kV distribution system in a certain area shows that this method can comprehensively and reasonably analyze the hosting capacity of distributed photovoltaic in distribution network and improve the accuracy of evaluation.

导出引用

翟苏巍, 张馨介, 李文云, 高天亮, 于全喜, 梁峻恺. 基于随机鲁棒优化的配电网分布式光伏承载能力综合评估方法[J]. 太阳能学报. 2025, 46(7): 624-635 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0375

Zhai Suwei, Zhang Xinjie, Li Wenyun, Gao Tianliang, Yu Quanxi, Liang Junkai. COMPREHENSIVE EVALUATION METHOD FOR DISTRIBUTED PHOTOVOLTAIC HOSTING CAPACITY OF DISTRIBUTION NETWORKS BASED ON STOCHASTIC ROBUST OPTIMIZATION[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 624-635 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0375

中图分类号： TM73

参考文献

[1] 王海云, 于希娟, 张雨璇, 等. 大型城市电网下分布式光伏承载力评估分析[J]. 太阳能学报, 2023, 44(6): 260-264.
WANG H Y, YU X J, ZHANG Y X, et al.Evaluation and analysis of distributed photovoltaic carrying capacity in large urban power grid[J]. Acta energiae solaris sinica, 2023, 44(6): 260-264.
[2] 李宏仲, 汪瑶, 胡哲晟, 等. 双碳背景下配电网对多元接入体的承载能力评估[J]. 电网技术, 2022, 46(9): 3595-3603.
LI H Z, WANG Y, HU Z S, et al.Carrying capacity assessment of distribution network for multiple access bodies under the background of double carbon[J]. Power system technology, 2022, 46(9): 3595-3603.
[3] 孙胜博, 饶尧, 郭威, 等. 基于改进ADMM的含分布式光伏的配电网电压无功优化方法[J]. 太阳能学报, 2024, 45(3): 506-516.
SUN S B, RAO Y, GUO W, et al.Volt/var optimization method of distribution network with distributed photovoltaic based on improved ADMM[J]. Acta energiae solaris sinica, 2024, 45(3): 506-516.
[4] 明萌, 周楠西, 高丽媛, 等. 有源配电网分布式光伏承载力分析评估与应用[J]. 供用电, 2023, 40(11): 35-44, 53.
MING M, ZHOU N X, GAO L Y, et al.Analysis, evaluation and application of distributed photovoltaic carrying capacity in active distribution networks[J]. Distribution & utilization, 2023, 40(11): 35-44, 53.
[5] 杨志淳, 杨帆, 闵怀东, 等. 考虑需求响应的交直流混合配电网分布式光伏承载能力鲁棒评估方法[J]. 高电压技术, 2024, 50(1): 83-92.
YANG Z C, YANG F, MIN H D, et al.Distributed PV hosting capacity robust assessment of AC/DC hybrid distribution network considering demand response[J]. High voltage engineering, 2024, 50(1): 83-92.
[6] 王璟, 蒋小亮, 杨卓, 等. 光伏集中并网电压约束下的准入容量与电压波动的评估方法[J]. 电网技术, 2015, 39(9): 2450-2457.
WANG J, JIANG X L, YANG Z, et al.Penetration capacity under voltage constraint and evaluation methodology of voltage fluctuation caused by centralized grid connection of photovoltaic power[J]. Power system technology, 2015, 39(9): 2450-2457.
[7] 梁志峰, 夏俊荣, 孙檬檬, 等. 数据驱动的配电网分布式光伏承载力评估技术研究[J]. 电网技术, 2020, 44(7): 2430-2438.
LIANG Z F, XIA J R, SUN M M, et al.Data driven assessment of distributed photovoltaic hosting capacity in distribution network[J]. Power system technology, 2020, 44(7): 2430-2438.
[8] 贺国伟, 肖峻, 曹加胜. 考虑分布式光伏消纳的大型城市配电网规划实践[J]. 供用电, 2021, 38(10): 26-34.
HE G W, XIAO J, CAO J S.Planning practice of large urban distribution network considering distributed photovoltaic consumption[J]. Distribution & utilization, 2021, 38(10): 26-34.
[9] 车伟, 陈洁, 胡亚杰, 等. 光伏快速充电站配电变压器端电能质量综合控制研究[J]. 电力系统保护与控制, 2022, 50(21): 128-137.
CHE W, CHEN J, HU Y J, et al.Comprehensive control of power quality at the distribution transformer end of a photovoltaic fast charging station[J]. Power system protection and control, 2022, 50(21): 128-137.
[10] 翁晓春, 陈石川, 陈大才, 等. 考虑负荷特性和馈线分段的配电网供电能力评估[J]. 供用电, 2021, 38(3): 61-65, 83.
WENG X C, CHEN S C, CHEN D C, et al.Evaluation of power supply capability of distribution network load characteristics and feeder segmentation[J]. Distribution & utilization, 2021, 38(3): 61-65, 83.
[11] 黄巍. 电能质量约束下主动配电网光伏最大渗透率研究[D]. 北京: 北京交通大学, 2016.
HUANG W.Maximum photovoltaic penetration in active distribution network under constraint of power quality[D]. Beijing: Beijing Jiaotong University, 2016.
[12] 赵龙, 杨波, 崔灿, 等. 基于多种群牵引差分进化算法的含分布式电源配电网规划[J]. 供用电, 2022, 39(5): 61-69.
ZHAO L, YANG B, CUI C, et al.Distribution network planning with distributed generation based on multi group traction differential evolution algorithm[J]. Distribution & utilization, 2022, 39(5): 61-69.
[13] 吴素农, 于金镒, 杨为群, 等. 配电网分布式电源最大并网容量的机会约束评估模型及其转化方法[J]. 电网技术, 2018, 42(11): 3691-3697.
WU S N, YU J Y, YANG W Q, et al.Chance constrained DG capacity assessment model and transforming method for distribution networks[J]. Power system technology, 2018, 42(11): 3691-3697.
[14] 刘科研, 刘永梅, 盛万兴, 等. 考虑电压约束的分布式电源接入配电网最大准入容量计算方法[J]. 电力自动化设备, 2016, 36(6): 81-87.
LIU K Y, LIU Y M, SHENG W X, et al.Maximal allowable DG penetration capacity calculation considering voltage constraints[J]. Electric power automation equipment, 2016, 36(6): 81-87.
[15] 孙玲玲, 赵美超, 王宁, 等. 基于电压偏差机会约束的分布式光伏发电准入容量研究[J]. 电工技术学报, 2018, 33(7): 1560-1569.
SUN L L, ZHAO M C, WANG N, et al.Research of permitted capacity of distributed photovoltaic generation based on voltage deviation chance constrained[J]. Transactions of China Electrotechnical Society, 2018, 33(7): 1560-1569.
[16] 于腾凯, 董靓媛, 杜晓东, 等. 考虑机会约束的配电网光伏并网容量分布鲁棒优化方法[J]. 电力系统保护与控制, 2021, 49(10): 43-50.
YU T K, DONG L Y, DU X D, et al.Distributionally robust optimization method of PV grid-connected capacity in a distribution network considering chance constraints[J]. Power system protection and control, 2021, 49(10): 43-50.
[17] 谭笑, 王主丁, 李强, 等. 计及多约束的多分布式电源接入配电网最大承载力分段算法[J]. 电力系统自动化, 2020, 44(4): 72-80.
TAN X, WANG Z D, LI Q, et al.Segmentation algorithm for maximum hosting capacity of distributed generator accessing to distribution network considering multiple constraints[J]. Automation of electric power systems, 2020, 44(4): 72-80.
[18] 杜刚, 赵冬梅, 刘鑫. 计及风电不确定性优化调度研究综述[J]. 中国电机工程学报, 2023, 43(7): 2608-2626.
DU G, ZHAO D M, LIU X.Research review on optimal scheduling considering wind power uncertainty[J]. Proceedings of the CSEE, 2023, 43(7): 2608-2626.
[19] 尚文强, 李广磊, 丁月明, 等. 考虑源荷不确定性和新能源消纳的综合能源系统协同调度方法[J]. 电网技术, 2024, 48(2): 517-526.
SHANG W Q, LI G L, DING Y M, et al.Collaborative scheduling for integrated energy system considering uncertainty of source load and absorption of new energy[J]. Power system technology, 2024, 48(2): 517-526.
[20] ZHAO T Y, PAN X W, YAO S H, et al.Strategic bidding of hybrid AC/DC microgrid embedded energy hubs: a two-stage chance constrained stochastic programming approach[J]. IEEE transactions on sustainable energy, 2020, 11(1): 116-125.
[21] 童潇宁, 王月强, 仇张权, 等. 基于数据驱动多面体集合的交直流混合配电网鲁棒调度方法[J]. 电力系统保护与控制, 2024, 52(3): 38-50.
TONG X N, WANG Y Q, QIU Z Q, et al.Robust scheduling method for AC/DC hybrid distribution network based on data-driven polyhedral sets[J]. Power system protection and control, 2024, 52(3): 38-50.
[22] GUAN Y P, WANG J H.Uncertainty sets for robust unit commitment[J]. IEEE transactions on power systems, 2014, 29(3): 1439-1440.
[23] JABR R A.Robust transmission network expansion planning with uncertain renewable generation and loads[J]. IEEE transactions on power systems, 2013, 28(4): 4558-4567.
[24] 黎静华, 朱梦姝, 陆悦江, 等. 综合能源系统优化调度综述[J]. 电网技术, 2021, 45(6): 2256-2269.
LI J H, ZHU M S, LU Y J, et al.Review on optimal scheduling of integrated energy systems[J]. Power system technology, 2021, 45(6): 2256-2269.
[25] 朱兰, 王吉, 唐陇军, 等. 计及电转气精细化模型的综合能源系统鲁棒随机优化调度[J]. 电网技术, 2019, 43(1): 116-125.
ZHU L, WANG J, TANG L J, et al.Robust stochastic optimal dispatching of integrated energy systems considering refined power-to-gas model[J]. Power system technology, 2019, 43(1): 116-125.
[26] 胡代豪, 郭力, 刘一欣, 等. 计及光储快充一体站的配电网随机-鲁棒混合优化调度[J]. 电网技术, 2021, 45(2): 507-517.
HU D H, GUO L, LIU Y X, et al.Stochastic/robust hybrid optimal dispatching of distribution networks considering fast charging stations with photovoltaic and energy storage[J]. Power system technology, 2021, 45(2): 507-517.
[27] 林朝华, 张军达, 黄子力, 等. 配电网分布式新能源承载能力综合评估方法[C]//中国能源研究会城乡电力(农电)分会. 2024城乡电力学术年会暨科技成果交流会论文集, 2024: 13.
LI Z H, ZHANG J D, HUANG Z L, et al.Comprehensive evaluation method for distributed new energy carrying capacity of distribution network[C]//China Energy Research Association Urban And Rural Power (agricultural power) Branch. Proceedings of the 2024 Urban and Rural Electric Power Academic Annual Conference and Technology Achievement Exchange Conference, 2024: 13.
[28] 林朝华, 张军达, 吴荣芬, 等. 基于多区间不确定集的电-气互联有功-无功协同鲁棒优化方法[J]. 电力建设, 2025, 46(4): 137-149.
ZHANG Z H, ZHANG J D, WU R F, et al.An active-reactive power coordinated robust optimization method for electricity gas interconnection based multiple interval uncertain[J]. Electric power construction, 2025, 46(4): 137-149.
[29] LEE C, LIU C, MEHROTRA S, et al.Robust distribution network reconfiguration[J]. IEEE transactions on smart grid, 2015, 6(2): 836-842.