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.
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.
LIN Siyu, WEN Juan, QU Xing, XIAO Qiankang. Optimization of Distribution Network Structure and Identification of Key Nodes and Lines Based on TOPSIS Method[J]. Complex Systems and Complexity Science, 2024, 21(3): 46-54.
[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.
