BI-LEVEL DISTRIBUTED POWER PLANNING BASED ON E-C-K-MEANS CLUSTERING AND SOP OPTIMIZATION

Zheng Huankun; Zeng Fanfei; Fu Yu; Han Chaochao; Zhang Lingyu; Dong Ling

doi:10.19912/j.0254-0096.tynxb.2020-0056

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (2) : 127-135. DOI: 10.19912/j.0254-0096.tynxb.2020-0056

BI-LEVEL DISTRIBUTED POWER PLANNING BASED ON E-C-K-MEANS CLUSTERING AND SOP OPTIMIZATION

Zheng Huankun¹, Zeng Fanfei¹, Fu Yu¹, Han Chaochao¹, Zhang Lingyu², Dong Ling³

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Abstract

A bi-level optimized configuration model of distributed generations is proposed in distribution networks with soft open point （SOP）. The upper-level solves the installation location and capacity with the goal of maximizing the operator's annual revenue. The lower-level optimizes the network operation performance by constraining the SOP. Considering the time series characteristics of the load and distributed power output, a new clustering algorithm is designed to cluster the wind speed and irradiance in four season scenes to obtain the daily curve of typical scenes. Since the distributed power planning problem is a large-scale mixed integer non-linear problem, it is necessary to decouple the discrete variables from the continuous variables. Therefore, a hybrid algorithm of genetic algorithm and original dual interior point method is used to solve the problem. Finally, based on the improved IEEE33 node distribution network system, the validity of the optimization model and the solution method are verified and analyzed.

Key words

distribution networks / distributed generations / clustering algorithm / soft open point（SOP） / bi-level planning

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Zheng Huankun, Zeng Fanfei, Fu Yu, Han Chaochao, Zhang Lingyu, Dong Ling. BI-LEVEL DISTRIBUTED POWER PLANNING BASED ON E-C-K-MEANS CLUSTERING AND SOP OPTIMIZATION[J]. Acta Energiae Solaris Sinica. 2022, 43(2): 127-135 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0056

References

[1] 齐志远, 郭佳伟, 李晓炀. 基于联合概率分布的风光互补发电系统优化配置[J]. 太阳能学报, 2018, 39(1): 203-209.
QI Z Y, GUO J W, LI X Y.Optimal configuration for wind power and solar power hybrid systems based on joint probability distribution of wind speed with solar irradiance[J]. Acta energy solaris sinica, 2018, 39(1): 203-209.
[2] 彭春华, 于蓉, 孙惠娟. 基于K-均值聚类多场景时序特性分析的分布式电源多目标规划[J]. 电力自动化设备, 2015, 35(10): 58-65.
PENG C H, YU R, SUN H J.Multi-objective DG planning based on K-means clustering and multi-scenario timing characteristics analysis[J]. Electric power automation equipment, 2015, 35(10): 58-65.
[3] 董志辉, 林凌雪. 基于改进模糊C均值聚类时段划分的配电网动态重构[J]. 电网技术, 2019, 43(7): 2299-2305.
DONG Z H, LIN L X.Dynamic reconfiguration of distribution network based on improved fuzzy C-means clustering of time division[J]. Power system technology, 2019, 43(7): 2299-2305.
[4] 赵永彬, 陈硕, 刘明, 等. 采用分布式DBSCAN算法的用电行为分析[J]. 小型微型计算机系统, 2018, 39(5): 1108-1112.
ZHAO Y B, CHEN S, LIU M, et al.Analysis of power consumption behavior using distributed DBSCAN algorithm[J]. Journal of Chinese computer systems, 2018, 39(5): 1108-1112.
[5] RODRIGUE A, LAIO A.Clustering by fast search and find of density peaks[J]. Science, 2014, 344(6191): 1492-1496.
[6] 严艺芬, 吴文宣, 张逸, 等. 考虑区域能源供应商利益的主动配电网间歇性分布式电源优化配置[J]. 电网技术, 2017, 41(3): 752-758.
YAN Y F, WU W X, ZHANG Y, et al.Optimal allocation of intermittent distributed generation in active distribution network considering benefit of regional energy supplier[J]. Power system technology, 2017, 41(3): 752-758.
[7] 彭春华, 余愿, 孙惠娟. 基于源网荷协同优化的配电网光储联合系统规划[J]. 电网技术, 2019, 43(11): 3944-3951.
PENG C H, YU Y, SUN H J.Planning of combined PV-ESS system for distribution network based on source-network-load collaborative optimization[J]. Power system technology, 2019, 43(11): 3944-3951.
[8] 秦红霞, 王成山, 刘树, 等. 智能微网与柔性配网相关技术探讨[J]. 电力系统保护与控制, 2016, 44(20): 17-23.
QIN H X, WANG C S, LIU S, et al.Discussion on the technology of intelligent micro-grid and flexible distribution system[J]. Power system protection and control, 2016, 44(20): 17-23.
[9] CAO W Y, WU J Z, JENKINS N, et al.Operating principle of Soft Open Points for electrical distribution network operation[J]. Applied energy, 2016, 164: 245-257.
[10] 王成山, 孙充勃, 李鹏, 等. 基于SNOP的配电网运行优化及分析[J]. 电力系统自动化, 2015, 39(9): 82-87.
WANG C S, SUN C B, LI P, et al.SNOP-based operation optimization and analysis of distribution network[J]. Automation of electric power systems, 2015, 39(9): 82-87.
[11] 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): 1889-1896.
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): 1889-1896.
[12] 郑焕坤, 石甜静. 基于智能软开关和无功补偿装置的配电网双层优化[J]. 电力系统自动化, 2019, 43(19): 117-126.
ZHENG H K, SHI T J.Bi-Level optimization of power distribution network based on soft open point and reactive power compensation device[J]. Automation of electric power system, 2019, 43(19): 117-126.
[13] 杨晓萍, 张倩. 基于随机规划的风光互补系统特性分析与准入功率极限计算[J]. 太阳能学报, 2018, 39(3): 619-626.
YANG X P, ZHANG Q.Research on wind-solar hybrid power system characteristic analysis and penetration limit based on stochastic programming[J]. Acta energyiae solaris sinica, 2018, 39(3): 619-626.
[14] 刘佳, 徐谦, 程浩忠, 等. 计及主动配电网转供能力的可再生电源双层优化规划[J]. 电工技术学报, 2017, 32(9): 179-188.
LIU J, XU Q, CHENG H Z, et al.Bi-Level optimal renewable energy sources planning considering active distribution network power transfer capability[J]. Transactions of China Electrotechnical Society, 2017, 32(9): 179-188.
[15] 肖峻, 刚发运, 蒋迅, 等. 柔性配电网: 定义、组网形态与运行方式[J]. 电网技术, 2017, 41(5): 1435-1446.
XIAO J, GANG F Y, JIANG X, et al.Flexible distribution network:Definition, morphology and operation mode[J]. Power system technology, 2017, 41(5): 1435-1446.