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Modeling The Power Grid Network Of Iraq


  • Rasha Al-Jarah Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq.
  • Manar Y. Kashmola Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq.



Complex Networks, Network Metrics, Network Modeling, Power Grid Networks


Recently, the theory of Complex Networks gives a modern insight into a variety of applications in our life. Complex Networks are used to form complex phenomena into graph-based models that include nodes and edges connecting them. This representation can be analyzed by using network metrics such as node degree, clustering coefficient, path length, closeness, betweenness, density, and diameter, to mention a few. The topology of the complex interconnections of power grids is considered one of the challenges that can be faced in terms of understanding and analyzing them. Therefore, some countries use Complex Networks concepts to model their power grid networks. In this work, the Iraqi Power Grid network (IPG) has been modeled, visualized and analyzed according to the theory of Complex Networks by representing the stations as nodes and the transmission lines as edges. This analysis is done by applying network metrics to the proposed national IPG network. Finally, this work provides a professional visualization of the generated network based on the demographic distribution and the accurate coordinates of the power stations. Thus, this proposed network is useful for the Iraqi Ministry of Electricity. Besides, it can be adopted by officials and specialists to understand, visualize and evaluate the performance of the current IPG network since it is still under development and modernization.


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Ali AH, Hussain ZF, Abd SN. Big data classification efficiency based on linear discriminant analysis. IJCSM [Internet]. 2020 Jan. 30 [cited 2022 May 14]; 1(1):7-12. Available from:

Forte FD. Network topology of the Argentine interbank money market. J. Complex Networks. 2020 Aug;8(4):cnaa039.

Sultan HB, Mahmood BM. Analyzing Crime Networks: A Complex Network-Based Approach. CSMJ. 2021 Jun 1; 15(1):57-73.

HASAN AS, MAHMOOD B. Spatiotemporal Features of Mosul City Road Network. MINAR Journal. 2021; 3(04), 47-59.

Mahmood B, Sultan NA, Thanoon KH, Kadhim DS. Measuring scientific collaboration in co-authorship networks. IJ-AI. 2021 Dec 1; 10(4):1103.

Hammadi DS, Mahmood B, Dabdawb MM. Approaches on Modelling Genes Interactions: A Review. Technium BioChemMed [Internet]. 2021.Oct.15 [cited 2022 Feb.25]; 2(4):38-52. Available from:

Nadhum AA, Erzaij KR. Evaluating Implementation of Electric Power Generation Projects in Iraq. IOP Conf. Ser.: Mater. Sci. Eng. 2020 Aug 1 (Vol. 901, No. 1, p. 012034). IOP Publishing.

Pagani GA, Aiello M. The power grid as a complex network: a survey. J Physa. 2013 Jun 1; 392(11):2688-700.

Rosas-Casals M. Power grids as complex networks: topology and fragility. Comp Eng. 2010 Feb 22 (pp. 21-26).IEEE.

Sun K. Complex networks theory: A new method of research in power grid. TD Asia. 2005 Aug 18 (pp. 1-6).

Al-Taie AF. Geographical distribution of gas power plants operating in Iraq and the techniques needed to develop them. Adab Al-Kufa. 2021(49).

The official website of the Iraqi Ministry of Electricity Annual statistical report of the Iraqi Ministry of Electricity 2018. [Online], Available from:

Al-Khafaji H. Electricity generation in Iraq Problems and solutions. Bayan Center Org. Available from:

Wang J. Vulnerability and augmentation of power grids: a complex network approach. Doctoral [dissertation], RMIT University; 2018.

Luo XS, Zhang B. Analysis of cascading failure in complex power networks under the load local preferential redistribution rule. Physica A. 2012 Apr 15;391(8):2771-7.

Brummitt CD, D’Souza RM, Leicht EA. Suppressing cascades of load in interdependent networks. Proc. Natl. Acad. Sci. 2012 Mar 20; 109 (12):E680-9.

Spencer J. The Strange Logic of Random Graphs. [Internet]. Berlin Heidelberg: Springer; 2001 Jun 20 [cited 2022 Feb 25]. Available from:

Spencer J. The strange logic of random graphs. Springer Science & Business Media; 2001 Jun 20.

Albert R, Albert I, Nakarado GL. Structural vulnerability of the North American power grid. Phys. Rev. E. 2004 Feb 26; 69(2):025103.

Watts DJ, Strogatz SH. Collective dynamics of ‘small-world’ networks. Nature. 1998 Jun; 393(6684):440-2.

Zhongwei M, Zongxiang L, Jingyan S. Comparison analysis of the small-world topological model of Chinese and American power grids. Autom. Electr. Power Syst. 2004 Aug; 28(15):21-4.

Rosato V, Bologna S, Tiriticco F. Topological properties of high-voltage electrical transmission networks. Electr. Power Syst. Res. 2007 Feb 1; 77 (2):99-105.

Ravasz E, Barabási AL. Hierarchical organization in complex networks. Phys. Rev. E. 2003 Feb 14; 67(2):026112.

Newman ME. The structure and function of complex networks. SIAM Rev. 2003; 45(2):167-256.

Al-Harere MN, Mitlif RJ, Sadiq FA. Variant Domination Types for a complete h- ary Tree. Baghdad Sci. J [Internet]. 2021 Mar. 30 [cited 2022 Feb. 11]; 18(1):0797. Available from:

Albert R, Barabási AL. Statistical mechanics of complex networks. Rev. Mod. Phys. 2002 Jan 30; 74(1):47.

Dabdawb M, Mahmood B. On the Relations among Object-Oriented Software Metrics: A Network-Based Approach. IJCDS. 2021 Aug 5.

Mahmood B, Alanezi M. Structural-Spectral-Based Approach for Anomaly Detection in Social Networks. IJCDS. 2021 Apr 1; 10(1):343-51.

Mahmood BM, Sultan NA, Thanoon KH, Khadhim DS. Collaboration networks: university of Mosul case study. CSMJ. 2020 May 1; 14(1):117-33.

Bastian M, Heymann S, Jacomy M. Gephi: an open-source software for exploring and manipulating networks. ICWSM. 2009 Mar19; (Vol. 3, No. 1, pp. 361-362).

Al-Yasiria AJ, Alib MA, Alic RS, Bekheetd HN. Renewable energy sources in international energy markets: reality and prospects. IJICC. 2020; 11(3).

Al-Kayiem HH, Mohammad ST. Potential of renewable energy resources with an emphasis on solar power in Iraq: An outlook. Resources. MDPI Journal. 2019 Mar; 8(1):42.

Al-Khafaji TK. Strong Subordination for Evalent Functions Involving the Operator Generalized Srivastava-Attiya. Baghdad Sci. J [Internet]. 2020May11 [cited 2022 Feb.11]; 17(2):0509. Available from: