DISTRIBUTED GENERATION HOSTING CAPACITY EVALUATION IN DISTRIBUTION NETWORK BASED ON ADAPTIVE PERTURBATION DIFFERENTIAL EVOLUTION ALGORITHM

Li Lianbing; Zhang Kaining; Zeng Siming; Liang Jifeng

doi:10.19912/j.0254-0096.tynxb.2022-1075

PDF(1791 KB)

Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (11) : 55-63. DOI: 10.19912/j.0254-0096.tynxb.2022-1075

DISTRIBUTED GENERATION HOSTING CAPACITY EVALUATION IN DISTRIBUTION NETWORK BASED ON ADAPTIVE PERTURBATION DIFFERENTIAL EVOLUTION ALGORITHM

Li Lianbing¹, Zhang Kaining², Zeng Siming³, Liang Jifeng³

Author information +

History +

Abstract

Aiming at the assessment question of distributed generator hosting capacity in distribution network, a method based on adaptive perturbation differential evolution （APDE） was proposed to evaluate the maximum hosting capacity of distributed power in distribution network. Firstly, a distribution network model including on-load tap changer and static var compensator is established, and the expression of the relationship between power flow calculation and injected power is optimized. By considering the uncertainty of distributed generator and loads, a model for evaluating the maximum hosting capacity of distributed generator in distribution network based on chance constraints is established. Then the differential evolution algorithm is improved to form an adaptive perturbation differential evolution algorithm to solve the model. Finally, based on IEEE-33 node distribution system, the distribution network model is analyzed to verify that it meets the needs of power system analysis. Furthermore, the proposed method for evaluating the hosting capacity of distributed generation in distribution network is analyzed. The feasibility of the proposed model and the effectiveness of the improved method are proved by comparing with the related algorithms.

Key words

distribution network / distributed generation / hosting capacity / chance-constrained programming / differential evolution algorithm

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Li Lianbing, Zhang Kaining, Zeng Siming, Liang Jifeng. DISTRIBUTED GENERATION HOSTING CAPACITY EVALUATION IN DISTRIBUTION NETWORK BASED ON ADAPTIVE PERTURBATION DIFFERENTIAL EVOLUTION ALGORITHM[J]. Acta Energiae Solaris Sinica. 2023, 44(11): 55-63 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1075

References

[1] OCHOA L F, PADILHA-FELTRIN A, HARRISON G P.Evaluating distributed generation impacts with a multiobjective index[J]. IEEE transactions on power delivery, 2006, 21(3): 1452-1458.
[2] 张宇精, 乔颖, 鲁宗相, 等. 含高比例分布式电源接入的低感知度配电网电压控制方法[J]. 电网技术, 2019, 43(5): 1528-1535.
ZHANG Y J, QIAO Y, LU Z X, et al.Voltage control for partially visible distribution networks with high DG penetration[J]. Power system technology, 2019, 43(5): 1528-1535.
[3] 苏小玲, 韩民晓, 赵正奎, 等. 配电网中分布式电源最大准入容量分析[J]. 电网技术, 2012, 36(10): 87-92.
SU X L, HAN M X, ZHAO Z K, et al.Research on maximum capacity of grid-connected distributed generation in distribution network[J]. Power system technology, 2012, 36(10): 87-92.
[4] 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.
[5] 赵旭州, 张秀斌, 丁涛, 等. 主动配电网光伏电源最大有效接纳量评估[J]. 电力系统及其自动化学报, 2017, 29(4): 95-100.
ZHAO X Z, ZHANG X B, DING T, et al.Assessment on maximum effective photovoltaic integration in active distribution network[J]. Proceedings of the CSU-EPSA, 2017, 29(4): 95-100.
[6] 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.
[7] 赵冬梅, 任耀宇, 程雪婷. 低压配电网分布式光伏接纳能力分析[J]. 现代电力, 2021, 38(4): 392-403.
ZHAO D M, REN Y Y, CHENG X T.Analysis of distributed photovoltaic acceptance capacity in low voltage distribution network[J]. Modern electric power, 2021, 38(4): 392-403.
[8] WANG S X, CHEN S J, GE L J, et al.Distributed generation hosting capacity evaluation for distribution systems considering the robust optimal operation of OLTC and SVC[J]. IEEE transactions on sustainable energy, 2016, 7(3): 1111-1123.
[9] CHEN X, WU W C, ZHANG B M, et al.Data-driven DG capacity assessment method for active distribution networks[J]. IEEE transactions on power systems, 2017, 32(5): 3946-3957.
[10] 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.
[11] 朱俊澎, 黄勇, 马良, 等. 基于不确定性最优潮流的配电网分布式电消纳能力评估[J]. 电力系统自动化, 2022, 46(14): 46-54.
ZHU J P, HUANG Y, MA L, et al.Assessment on distributed generation accomodation capability for distribution network based on uncertain optimal power flow[J]. Automation of electric power systems, 2022, 46(14): 46-54.
[12] WANG S X, DONG Y C, WU L, et al.Interval overvoltage risk based PV hosting capacity evaluation considering PV and load uncertainties[J]. IEEE transactions on smart grid, 2020, 11(3): 2709-2721.
[13] WANG B, ZHANG C, DONG Z Y, et al.Improving hosting capacity of unbalanced distribution networks via robust allocation of battery energy storage systems[J]. IEEE transactions on power systems, 2021, 36(3): 2174-2185.
[14] TAHERI S, JALALI M, KEKATOS V, et al.Fast probabilistic hosting capacity analysis for active distribution systems[J]. IEEE transactions on smart grid, 2021, 12(3): 2000-2012.
[15] 余光正, 林涛, 汤波, 等. 计及谐波裕度-均衡度的分布式电源最大准入功率计算方法[J]. 电工技术学报, 2021, 36(9): 1857-1865, 1875.
YU G Z, LIN T, TANG B, et al.Calculation method of distributed generator maximum access power considering balance degree of harmonic margin[J]. Transactions of China Electrotechnical Society, 2021, 36(9): 1857-1865, 1875.
[16] 高菲, 宋晓辉, 李建芳, 等. 谐波约束下的配电网接纳分布式电源能力分析[J]. 电力自动化设备, 2018, 38(10): 13-18.
GAO F, SONG X H, LI J F, et al.DG integration capability of distribution network considering harmonic constraints[J]. Electric power automation equipment, 2018, 38(10): 13-18.
[17] 李振坤, 管琰玲, 张代红, 等. 基于年时序曲线的配电网节点光伏接纳能力评估及最佳容量研究[J]. 太阳能学报, 2021, 42(4): 200-208.
LI Z K, GUAN Y L, ZHANG D H, et al.Photovoltaic hosting ability evaluation and optimum capacity research of distribution networks node based on annual time-series curve[J]. Acta energiae solaris sinica, 2021, 42(4): 200-208.
[18] STORN R, PRICE K.Differential evolution: a simple and efficient heuristic for global optimization over continuous spaces[J]. Journal of global optimization, 1997, 11(4): 341-359.
[19] NERI F, TIRRONEN V.Recent advances in differential evolution: a survey and experimental analysis[J]. Artificial intelligence review, 2010, 33(1/2): 61-106.
[20] 丁青锋, 尹晓宇. 差分进化算法综述[J]. 智能系统学报, 2017, 12(4): 431-442.
DING Q F, YIN X Y.Research survey of differential evolution algorithms[J]. CAAI transactions on intelligent systems, 2017, 12(4): 431-442.
[21] 范闻博, 关石磊, 符金伟, 等. 配电自动化潮流计算测试平台设计[J]. 电力系统保护与控制, 2018, 46(8): 117-123.
FAN W B, GUAN S L, FU J W, et al.Test bench design for distribution automation power flow calculation[J]. Power system protection and control, 2018, 46(8): 117-123.