Abstract
In the power communication network, the importance of the power businesses are the key to evaluate the key nodes of the power communication system. As a special network of power system, when determining the importance of power businesses, the different roles of power businesses in power communication system and power system should be considered. Based on analytic hierarchy process (AHP), entropy weight method and weight degradation method, this paper presents a method to identify the key nodes of power communication network. Firstly, the roles of power businesses in power communication network and power system are analyzed, and a multi-level evaluation model is set up. The evaluation indexes are quantified in the form of quantitative assignment, and the importance of power businesses are evaluated based on improved AHP and entropy weight method. Secondly, on the premise of getting the importance of power businesses, combining with the topology of power communication network to improve the weight degradation method to identify the key nodes of power communication system. Finally, the power communication backbone network of Qingdao and Jinan in China are taken as the simulation objects to verify the correctness of the method.
Similar content being viewed by others
References
Strasser T, Andrén F, Kathan J, Cecati C, Buccella C, Siano P, Leitão P, Zhabelova G, Vyatkin V, Vrba P, Mařík V (2015) A review of architectures and concepts for intelligence in future electric energy systems. IEEE Trans Industr Electron 62(4):2424–2438
Xie Z, Manimaran G, Vittal V, Phadke AG, Centeno V (2002) An information architecture for future power systems and its reliability analysis. IEEE Trans Power Syst 17(3):857–863
Manickam A, Kamalasadan S, Edwards D, Simmons S (2014) A novel self-evolving intelligent multiagent framework for power system control and protection. IEEE Syst J 8(4):1086–1095
Lin H, Veda S, Shukla S, Mili L, Thorp J (2012) GECO: global event-driven co-simulation framework for interconnected power system and communication network. IEEE Trans Smart Grid 3(3):1444–1456
Dong X, Wang D, Zhao M, Wang B, Shi S, Apostolov A (2016) Smart power substation development in china. CSEE J Power Energy Syst 2(4):1–5
Sodhi R, Sharieff MI (2015) Phasor measurement unit placement framework for enhanced wide-area situationalawareness. IET Gener Transm Distrib 9(2):172–182
Dichen L, Xingpei J, Bo W, Fei T (2015) Topological vulnerability analysis and countermeasures of electrical communication network based on complex network theory. Power Syst Technol 39(12):3615–3621
Dichen L, Xingpei J, Guo C, Bo W, Daqian W (2016) Link addition strategy based on complex network theory for power communication network. Autom Electr Power Syst 36(10):121–126
Wang Q, Pipattanasomporn M, Kuzlu M, Tang Yi, Li Yang, Rahman Saifur (2016) Framework for vulnerability assessment of communication systems for electric power grids. IET Gener Transm Distrib 10(2):477–486
Zhou X, Han X, Wu Y, Ju R, Tang Y, Ni M (2014) Vulnerability assessment of the electric power and communication composite system. In: 2014 China international conference on electricity distribution (CICED). IEEE, Shenzhen, China, pp 369–372
Runze W, Baojian Z, Liangrui T (2015) A cascading failure based nodal importance evaluation method applied in dual network coupling model. Power Syst Technol 39(4):1053–1058
Saaty TL (1980) The analytic hierarchy process. Mc Graw-Hill, New York
Cai L, Thornhill NF, Pal BC (2017) Multivariate detection of power system disturbances based on fourth order moment and singular value decomposition. IEEE Trans Power Syst 32(6):4289–4297
Shengwei L, Yi G, Lihu J, Fujian C, Leijiao G (2017) Subjective and objective evaluation method of cloud computing in power system under the background of energy internet. In: 2017 IEEE conference on energy internet and energy system integration (EI2). IEEE, Beijing, China, pp 1–6
Lai Z, Shen Y, Zhang G (2016) A security risk assessment method of website based on threat analysis combined withahp and entropy weight. In: 2016 7th IEEE international conference on software engineering and service science (ICSESS). IEEE, Beijing, China, pp 481–484
Shize Guo, Zheming Lu (2012) The basic theory of complex network. Science Press, Beijing
Yingyi Huang, Chun Jin, Lili Rong (2014) Evaluation method on node importance in network based on triangle module operator. ICIC Express Lett Part B 5(5):1341–1346
Weilin D (2018) An improved node algorithm based on the evaluation of weighted network node importance. J Algorithms Computational Technol 12(1):62–68
Acknowledgements
This study was financially supported by “the Fundamental Research Funds for the Central Universities (16CX06052A)”, “the State Grid Science and Technology Planning Project (SGZJ0000KXJS1800332)” and “A Project of Shandong Province Higher Educational Science and Technology Program (J18KA387)”.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Changchao, L., Zhongjian, K., Hongguo, Y. et al. Identification of Key Nodes Considering Different Roles of Power Businesses in Power Communication System and Power System. J. Electr. Eng. Technol. 14, 1407–1419 (2019). https://doi.org/10.1007/s42835-018-00082-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s42835-018-00082-w