基于TOPSIS的配电网结构优化及关键节点线路识别

林思宇; 文娟; 屈星; 肖乾康; 林思宇; 文娟; 屈星; 肖乾康

doi:10.13306/j.1672-3813.2024.03.007

复杂系统与复杂性科学 >

2024 , Vol. 21 >Issue 3: 46 - 54

DOI: https://doi.org/10.13306/j.1672-3813.2024.03.007

复杂网络

基于TOPSIS的配电网结构优化及关键节点线路识别

林思宇 ,
文娟 ,
屈星 ,
肖乾康 ,
林思宇 ,
文娟 ,
屈星 ,
肖乾康

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南华大学电气工程学院,湖南衡阳 421000

林思宇(1999-),男,湖南邵阳人,硕士研究生,主要研究方向为配电网结构优化、配电网脆弱性分析。

收稿日期: 2022-10-27

修回日期: 2023-03-21

网络出版日期: 2024-11-07

基金资助

国家自然科学基金(62003157);湖南省教育厅优秀青年基金(21B0434)

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Optimization of Distribution Network Structure and Identification of Key Nodes and Lines Based on TOPSIS Method

LIN Siyu ,
WEN Juan ,
QU Xing ,
XIAO Qiankang ,
LIN Siyu ,
WEN Juan ,
QU Xing ,
XIAO Qiankang

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School of Electrical Engineering, University of South China, Hengyang 421000, China

Received date: 2022-10-27

Revised date: 2023-03-21

Online published: 2024-11-07

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摘要

为获取较优的配电网拓扑结构并识别网络关键节点和线路,提出一种综合多属性的配电网结构优化和关键节点线路识别方法。首先利用支路交换法获取多个配电网拓扑图,然后基于复杂网络理论构造抗毁性指标,接着采用改进的TOPSIS法找出最优网络,最后构造重要性指标识别关键节点和线路。以IEEE33和PG&E69节点系统为例,对网络做随机攻击,验证优化后的配电网具有更强的抗攻击能力;对配电网采取随机攻击和蓄意攻击,结果表明,在蓄意攻击中,网络的各项指标下降更加显著,证明本方法能够有效识别出关键节点和线路。

关键词： TOPSIS法; 支路交换法; 复杂网络; 结构优化; 关键节点线路

本文引用格式

林思宇 , 文娟 , 屈星 , 肖乾康 , 林思宇 , 文娟 , 屈星 , 肖乾康 . 基于TOPSIS的配电网结构优化及关键节点线路识别[J]. 复杂系统与复杂性科学, 2024 , 21(3) : 46 -54 . DOI: 10.13306/j.1672-3813.2024.03.007

Abstract

To obtain a better topology and identify the key nodes and lines of distribution networks, this paper presents a multi-attribute method for optimizing network structure and identifying key nodes and lines. Firstly, multiple distribution network topologies are obtained by the branch-exchange algorithm. Secondly, the invulnerability indices are constructed based on complex network theory. Then, the improved TOPSIS method is used to find the optimal network. Finally, the importance indices are constructed to identify key nodes and lines. Taking the 33-bus and 69-bus systems as examples, it verified that the optimized distribution network has stronger anti-attack ability through random attack. Random attacks and deliberate attacks are used on the distribution network. The results show that the network parameters significantly decrease under deliberate attacks, which proves that this method can effectively identify the key nodes and lines.

Key words： TOPSIS method; branch-exchange algorithm; complex network; structure optimization; key nodes and lines

参考文献

[1] 胡源, 薛松, 张寒, 等. 近30年全球大停电事故发生的深层次原因分析及启示[J]. 中国电力, 2021, 54(10): 204-210.
HU Y, XUE S, ZHANG H, et al. Analysis and enlightenment of global power failure in recent 30 years[J]. Electric Power, 2021, 54(10): 204-210.
[2] LIAO H L. Review on distribution network optimization under uncertainty[J]. Energies, 2019, 12(17): 1-21.
[3] GENG J Q, Sun X M, LI F, et al. Prediction method of important nodes and transmission lines in power system transactive management[J]. Electric Power Systems Research, 2022, 208: 1-8.
[4] ALIREZA S, MOHAMMAD K, ALI M, Vulnerability analysis of power grid with the network science approach based on actual grid characteristics: a case study in Iran[J]. Physica A: Statistical Mechanics and Its Applications, 2019, 513: 14-21.
[5] 董政呈, 方彦军, 田猛. 相互依存网络抗毁性研究综述[J]. 复杂系统与复杂性科学, 2017, 14(3): 30-44.
DONG Z C, FANG Y J, TIAN M. Review on invulnerability of interdependent networks[J]. Complex System and Complexity Science, 2017, 14(3): 30-44.
[6] LI H C, LI B, LUO Z G, et al. Power supply reliability enhancement for low-voltage distribution area with power quality improvement function[J]. IEEE Access, 2022, 10: 130619-130631.
[7] WANG C, ZHANG T Y, LUO F Z, et al. Fault incidence matrix based reliability evaluation method for complex distribution system[J]. IEEE Transactions on Power Systems, 2018, 33(6): 6736-6745.
[8] 潘本仁, 王和春, 张妍, 等. 含分布式电源的主动配电网重构策略研究[J]. 电力系统保护与控制, 2020, 48(15): 102-107.
PAN B R, WANG H C, ZHANG Y, et al. Study on an active distribution network reconstruction strategy with distributed power supply[J]. Power System Protection and Control, 2020, 48(15): 102-107.
[9] 于艾清, 丁丽青, 王育飞, 等. 基于单环寻优策略的有源配网重构方法[J]. 电力系统保护与控制, 2022, 50(1): 23-32.
YU A Q, DING L Q, WANG Y F, et al. Active distribution network reconfiguration based on single loop optimization strategy[J]. Power System Protection and Control, 2022, 50(1): 23-32.
[10] SILVA L I, BELATI E A, GEREZ C, et al. Reduced search space combined with particle swarm optimization for distribution system reconfiguration[J]. Electrical Engineering, 2021, 103(2): 1127-1139.
[11] 李珂, 王金凤, 杨丽徙, 等. 基于多场景抗毁性分析的配电网网络结构优化[J]. 电力系统自动化, 2014, 38 (1): 34-38.
LI K, WANG J F, YANG L X, et al. Coordination between load shedding for safety and stability control and under-frequency load shedding in a small weak receiving power system[J]. Automation of Electric Power System, 2014, 38(1): 34-38.
[12] 李奔, 刘会家, 李珺. 考虑网络结构优化的含风电配电网多目标重构[J]. 电力系统保护与控制, 2015, 43(17): 57-62.
LI B, LIU H J, LI J. Multi-objective reconfiguration of distribution network with wind power generators considering network survivability[J]. Power System Protection and Control, 2015, 43(17): 57-62.
[13] 吴辉, 彭敏放, 张海艳, 等.基于复杂网络理论的配电网节点脆弱度评估[J].复杂系统与复杂性科学, 2017, 14(1): 38-45.
WU H, PENG M F, ZHANG H Y, et al. Node vulnerability assessment for distribution network based on complex network theory[J]. Complex System and Complexity Science, 2017, 14(1): 38-45.
[14] 史文超, 李晓明, 王孝琳, 等. 配电网脆弱性评估方法[J]. 电力系统及其自动化学报, 2018, 30(12): 125-131.
SHI W C, LI X M, WANG X L, et al. Vulnerability assessment method for distribution network[J]. Proceedings of the CSU-EPSA, 2018, 30(12): 125-131.
[15] WANG T, DU Z A, ZHANG K J, et al. Reliability evaluation of high voltage direct current transmission protection system based on interval analytic hierarchy process and interval entropy method mixed weighting[J]. Energy Reports, 2021, 7: 90-99.
[16] BAI S S, ZHANG Y K, LI L J, et al. Effective link prediction in multiplex networks: a TOPSIS method[J], Expert Systems with Applications, 2021, 177: 1-16.
[17] WANG L, LIN K, ZHANG W, et al. Invulnerability analysis of power distribution network based on topology structure[C]. 2019 6th International Conference on Systems and Informatics (ICSAI). Shanghai, 2019: 330-334.
[18] 王梓行, 姜大立, 漆磊, 等. 基于冗余度的复杂网络抗毁性及节点重要度评估模型[J]. 复杂系统与复杂性科学, 2020, 17(3): 78-85.
WANG Z H, JIANG D L, QI L, et al. Complex network invulnerability and node importance evaluation model based on redundancy[J]. Complex System and Complexity Science, 2020, 17(3): 78-85.
[19] MENG Y Y, TIAN X L, LI Z W, et al. Exploring node importance evolution of weighted complex networks in urban rail transit[J]. Physica A: Statistical Mechanics and Its Applications, 2020, 558: 1-15.
[20] 何铭, 邹艳丽, 梁明月, 等. 基于多属性决策的电力网络关键节点识别[J]. 复杂系统与复杂性科学, 2020, 17(3): 27-37.
HE M, ZOU Y L, LIANG M Y, et al. Critical node identification of a power grid based on multi-attribute decision[J]. Complex System and Complexity Science, 2020, 17(3): 27-37.
[21] WEN J, QU X, LIN S Y, et al. An optimization method of active distribution network considering time variations in load and renewable distributed generation[J]. International Transactions on Electrical Energy Systems, 2022, 2022:1-21.
[22] FU C Q, WANG Y, Wang X Y, et al. Multi-node attack strategy of complex networks due to cascading breakdown[J]. Chaos, Solitons & Fractals, 2018, 106: 61-66.

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