ROBUST JOINT PLANNING OF DISTRIBUTED RESOURCES IN DISTRIBUTION NETWORK BASED ON CLUSTER DIVISION

Zhao Ke; Xiao Chuanliang; Peng Ke; Chen Jiajia; Feng Liang; Zhou Qiang

doi:10.19912/j.0254-0096.tynxb.2025-0641

PDF(1833 KB)

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 533-544. DOI: 10.19912/j.0254-0096.tynxb.2025-0641

ROBUST JOINT PLANNING OF DISTRIBUTED RESOURCES IN DISTRIBUTION NETWORK BASED ON CLUSTER DIVISION

Zhao Ke, Xiao Chuanliang, Peng Ke, Chen Jiajia, Feng Liang, Zhou Qiang

Author information +

History +

Abstract

In order to solve the problem of location and capacity determination and reliability index calculation of distributed resources in distribution network with high proportion of distributed generators, a robust joint planning method of distributed resources in distribution network based on cluster division is proposed. Firstly, a comprehensive cluster division index of distribution network was proposed, which included modularity index, power balance index and inter-group branch power fluctuation index. Secondly, on the basis of cluster division, a two-layer joint programming model is proposed, and the upper layer considers the uncertainty of the source and load in the cluster, establishes a source-storage robust addressing and capacity model, and determines the range of the source-load uncertainty set through the uncertainty adjustment parameters, so as to obtain the optimal access location and capacity of distributed power generation and energy storage. The lower layer considers the calculation of reliability indicators in the cluster to ensure the reliability of operation and reduce the conservatism of optimization results. Finally, the simulation analysis of the actual photovoltaic distribution network in China is carried out to verify the effectiveness of the proposed method.

Key words

cluster partitioning / distribution network planning / robust optimization / distributed photovoltaics / reliability index / distributed resources

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Zhao Ke, Xiao Chuanliang, Peng Ke, Chen Jiajia, Feng Liang, Zhou Qiang. ROBUST JOINT PLANNING OF DISTRIBUTED RESOURCES IN DISTRIBUTION NETWORK BASED ON CLUSTER DIVISION[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 533-544 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0641

References

[1] Wu Y N, Xu M J, Tao Y, et al.A critical barrier analysis framework to the development of rural distributed PV in China[J]. Energy, 2022, 245: 123277.
[2] 张沈习, 李珂, 程浩忠, 等. 考虑相关性的间歇性分布式电源选址定容规划[J]. 电力系统自动化, 2015, 39(8): 53-58, 140.
Zhang S X, Li K, Cheng H Z, et al.Optimal siting and sizing of intermittent distributed generator considering correlations[J]. Automation of electric Power Systems, 2015, 39(8): 53-58, 140.
[3] Tafti H D, Konstantinou G, Fletcher J E, et al.Control of distributed photovoltaic inverters for frequency support and system recovery[J]. IEEE Transactions on Power Electronics, 2022, 37(4): 4742-4750.
[4] Ehsan A, Yang Q.Optimal integration and planning of renewable distributed generation in the power distribution networks: a review of analytical techniques[J]. Applied Energy, 2018, 210: 44-59.
[5] 刘顺成, 何禹清, 乔学博, 等. 基于合作博弈的交直流配电网光储协调规划方法[J]. 太阳能学报, 2024, 45(1): 534-544.
Liu S C, He Y Q, Qiao X B, et al.Photovoltaic-storage coordinated planning method of AC/DC distribution network based on cooperative game[J]. Acta energiae Solaris Sinica, 2024, 45(1): 534-544.
[6] 陈长青, 李欣然, 张冰玉, 等. 考虑负荷动态特性的多阶段光储协调规划研究[J]. 太阳能学报, 2022, 43(6): 8-16.
Chen C Q, Li X R, Zhang B Y, et al.Research on multi-stage optical storage coordination planning considering load dynamic characteristics[J]. Acta Energiae Solaris Sinica, 2022, 43(6): 8-16.
[7] 任智君, 郭红霞, 杨苹, 等. 含高比例可再生能源配电网灵活资源双层优化配置[J]. 太阳能学报, 2021, 42(9): 33-38.
Ren Z J, Guo H X, Yang P, et al.Double-layer optimal configuration of flexible resources with high proportion of renewable energy distribution network[J]. Acta energiae Solaris Sinica, 2021, 42(9): 33-38.
[8] 张君则, 艾欣. 基于粒子群算法的多类型分布式电源并网位置与运行出力综合优化算法[J]. 电网技术, 2014, 38(12): 3372-3377.
Zhang J Z, Ai X.A particle swarm optimization based comprehensive optimization algorithm for grid-connected positions and operation parameters of multi-type distribution generations[J]. Power System Technology, 2014, 38(12): 3372-3377.
[9] 艾欣, 王昊洋, 潘玺安, 等. 考虑需求侧灵活性资源配置的配电网分布鲁棒优化规划方法研究[J]. 太阳能学报, 2024, 45(7): 267-277.
Ai X, Wang H Y, Pan X A, et al.Research on distributionally robust optimization planning method of distribution network considering demand-side flexibility resources allocation[J]. Acta Energiae Solaris Sinica, 2024, 45(7): 267-277.
[10] Xiao C L, Zhao B, Ding M, et al.Zonal voltage control combined day-ahead scheduling and real-time control for distribution networks with high proportion of PVs[J]. Energies, 2017, 10(10): 1464.
[11] 胡迪. 含分布式可再生能源集群的配电系统规划研究[D]. 合肥: 合肥工业大学, 2020.
Hu D.Research on distribution system planning with distributed renewable energy clusters[D]. Hefei: Hefei University of Technology, 2020.
[12] 李翠萍, 东哲民, 李军徽, 等. 提升配电网新能源消纳能力的分布式储能集群优化控制策略[J]. 电力系统自动化, 2021, 45(23): 76-83.
Li C P, Dong Z M, Li J H, et al.Optimal control strategy of distributed energy storage cluster for prompting renewable energy accomodation in distribution network[J]. Automation of Electric Power Systems, 2021, 45(23): 76-83.
[13] 肖传亮, 赵波, 周金辉, 等. 配电网中基于网络分区的高比例分布式光伏集群电压控制[J]. 电力系统自动化, 2017, 41(21): 147-155.
Xiao C L, Zhao B, Zhou J H, et al.Network partition based cluster voltage control of high-penetration distributed photovoltaic systems in distribution networks[J]. Automation of Electric Power Systems, 2017, 41(21): 147-155.
[14] 于琳, 孙莹, 徐然, 等. 改进粒子群优化算法及其在电网无功分区中的应用[J]. 电力系统自动化, 2017, 41(3): 89-95, 128.
Yu L, Sun Y, Xu R, et al.Improved particle swarm optimization algorithm and its application in reactive power partitioning of power grid[J]. Automation of Electric Power Systems, 2017, 41(3): 89-95, 128.
[15] 丁明, 刘先放, 毕锐, 等. 采用综合性能指标的高渗透率分布式电源集群划分方法[J]. 电力系统自动化, 2018, 42(15): 47-52, 141.
Ding M, Liu X F, Bi R, et al.Method for cluster partition of high-penetration distributed generators based on comprehensive performance index[J]. Automation of Electric Power Systems, 2018, 42(15): 47-52, 141.
[16] 毕锐, 刘先放, 丁明, 等. 以提高消纳能力为目标的可再生能源发电集群划分方法[J]. 中国电机工程学报, 2019, 39(22): 6583-6591.
Bi R, Liu X F, Ding M, et al.Renewable energy generation cluster partition method aiming at improving accommodation capacity[J]. Proceedings of the CSEE, 2019, 39(22): 6583-6591.
[17] Girvan M, Newman M E J. Community structure in social and biological networks[J]. Proceedings of the National Academy of Sciences of the United States of America, 2002, 99(12): 7821-7826.
[18] Danon L, Díaz-guilera A, Arenas A. The effect of size heterogeneity on community identification in complex networks[J]. Journal of Statistical Mechanics: Theory and Experiment, 2006, 2006(11): P11010.
[19] 王磊, 张帆, 寇凌峰, 等. 基于Fast Unfolding聚类算法的规模化分布式光伏电源集群划分[J]. 太阳能学报, 2021, 42(10): 29-34.
Wang L, Zhang F, Kou L F, et al.Large-scale distributed PV cluster division based on Fast Unfolding clustering algorithm[J]. Acta Energiae Solaris Sinica, 2021, 42(10): 29-34.
[20] Kiran D, Abhyankar A R, Panigrahi B K.Hierarchical clustering based zone formation in power networks[C]//2016 National Power Systems Conference (NPSC). Bhubaneswar, India, 2017: 1-6.
[21] Enyew B M, Salau A O, Khan B, et al.Techno-Economic analysis of distributed generation for power system reliability and loss reduction[J]. International Journal of Sustainable Energy, 2023, 42(1): 873-888.
[22] Omogoye S O, Folly K A, Awodele K O.A comparative study between Bayesian network and hybrid statistical predictive models for proactive power system network resilience enhancement operational planning[J]. IEEE Access, 2023, 11: 41281-41302.
[23] Shuai H, Li F X, She B X, et al.Post-storm repair crew dispatch for distribution grid restoration using stochastic Monte Carlo tree search and deep neural networks[J]. International Journal of Electrical Power & Energy Systems, 2023, 144: 108477.
[24] Wang S X.Research on grid planning of dual power distribution network based on parallel ant colony optimization algorithm[J]. Journal of Electronic Research and Application, 2023, 7(1): 32-41.
[25] Cho S, Tovar-Facio J, Grossmann I E.Disjunctive optimization model and algorithm for long-term capacity expansion planning of reliable power generation systems[J]. Computers & Chemical Engineering, 2023, 174: 108243.
[26] 彭建春, 何禹清, 周卓敏, 等. 基于可靠性指标逆流传递和顺流归并的配电网可靠性评估[J]. 中国电机工程学报, 2010, 30(1): 40-46.
Peng J C, He Y Q, Zhou Z M, et al.Distribution system reliability evaluation based on up-stream delivering and down-stream merging of reliability indices[J]. Proceedings of the CSEE, 2010, 30(1): 40-46.