基于E-C-K-均值聚类和SOP优化的分布式电源双层规划

郑焕坤; 曾凡斐; 傅钰; 韩超超; 张凌宇; 董凌

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

PDF(1960 KB)

太阳能学报 ›› 2022, Vol. 43 ›› Issue (2) : 127-135. DOI: 10.19912/j.0254-0096.tynxb.2020-0056

基于E-C-K-均值聚类和SOP优化的分布式电源双层规划

郑焕坤¹, 曾凡斐¹, 傅钰¹, 韩超超¹, 张凌宇², 董凌³

作者信息 +

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

Author information +

文章历史 +

摘要

在含智能软开关（SOP）的配电网中针对分布式电源（DG）提出一种双层优化配置模型。上层以运营商年收益最大为目标求解DG安装的位置和容量,下层通过对SOP进行约束使网络运行性能最优,考虑到负荷和分布式电源输出的时间序列特征,设计一种新的E-C-K-means聚类算法对四季场景下的风速和辐照度进行聚类,得到典型场景日曲线。考虑到规划问题属于大规模混合整数非线性的问题,需要将离散变量与连续变量进行解耦,采用遗传算法和原对偶内点法混合算法进行求解;最后基于改进的IEEE33节点配电网系统,对优化模型和求解方法的有效性进行验证分析。

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.

导出引用

郑焕坤, 曾凡斐, 傅钰, 韩超超, 张凌宇, 董凌. 基于E-C-K-均值聚类和SOP优化的分布式电源双层规划[J]. 太阳能学报. 2022, 43(2): 127-135 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0056

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

中图分类号： TM715

参考文献

[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.