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Identification of Critical Elements in Interconnected Power Networks

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Iranian Journal of Science and Technology, Transactions of Electrical Engineering Aims and scope Submit manuscript

Abstract

Modern power systems are structurally complex, consisting of elements such as buses, transformers and transmission lines, which are interconnected and liable to failures that could result in total system blackout. Early detection and quick identification of the elements that are critical to the security and reliability of such interconnected power networks is essential for smart grid applications. This paper proposes a Coupling Strength Matrix (CSM) method, which is based on Network Structural Characteristics Theory and the Relative Electrical Distance (RED) between nodes in the network. Two indices, Bus Coupling Strength (BCS) and Line Coupling Strength (LCS), are proposed in identifying the critical transmission lines and weak nodes within a power network. The proposed method is demonstrated on the standard IEEE 30-bus system and 32-bus Nigerian network. The results obtained compare well with that obtained using conventional closeness centrality-based method. This new approach could be useful in quick identification of weak nodes and critical lines that could result in voltage collapse or island formation during critical outages, with less computational burden.

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References

  • Alayande AS, Jimoh AA, Yusuff AA (2015) Identification of critical buses and weak transmission lines using inherent structural characteristics theory. In: Power and energy engineering conference (APPEEC), 2015 IEEE PES Asia-Pacific,Brisbane, Australia, IEEExplore, 2015, pp 1–5

  • Ananth VN (2012) Some studied based on RED, load modelling, line outage using voltage stability analysis. Int J Soft Comput Eng (IJSCE) 2(3):2231–2307

    Google Scholar 

  • Caramia P, Russo A, Varilone P (2001) The inherent structure theory of network for power quality issues. IEEE Power Eng Soc Winter Meet 1:176–185

    Google Scholar 

  • Carpinelli G, Russo A, Russo M, Verde P (1998) Inherent structure theory of network for power system harmonics. IEE Proc-Gener Transm Distrib 145(2):123–132

    Article  Google Scholar 

  • Chen Ning, Zhu Lingzhi, Chen Mei (2014) A new approach of generating scheduling in power system with wind power using electrical paths between generators and loads. Int Trans Electr Energy Syst 24:761–779

    Article  Google Scholar 

  • Choudhary R, Bhadoriya JS, Gangil G (2016) Identification of critical transmission line for voltage collapse using deterministic indices in IEEE-14 bus system. Int J Adv Res Electr Electron Instrum Eng 5(7):6261–6268

    Google Scholar 

  • Cotilla-Sanchez E, Hines PDH, Barrows C, Blumsack S (2012) Comparing the topological and electrical structure of the North American electric power infrastructure. IEEE Syst J 6(4):616–626

    Article  Google Scholar 

  • Cuadra L, Salcedo-Sanz S, Del Ser J, Jiménez-Fernández S, Geem Z (2015) A critical review of robustness in power grids using complex networks concepts. Energies 8(9):9211–9265

    Article  Google Scholar 

  • Dwivedi A, Yu X (2013) A maximum-flow-based complex network approach for power system vulnerability analysis. IEEE Trans Industr Inf 9(1):81–88

    Article  Google Scholar 

  • Dwivedi A, Yu X, Sokolowski P (2009) Identifying vulnerable lines in a power network using complex network theory. In: IEEE international symposium on industrial electronics, pp 18–23

  • Gamm AZ, Golub II, Bachry A, Styczynski ZA (2005) Solving several problems of power systems using spectral and singular analyses. IEEE Trans Power Syst 20(1):138–148

    Article  Google Scholar 

  • Han D, Yan Z (2016) Evaluating the impact of smart grid technologies on generation expansion planning under uncertainties. Int Trans Electr Energy Syst 26(5):934–951

    Article  Google Scholar 

  • Hines P, Blumsack S, Cotilla-Sanchez E, Barrows C (2010) The topological and electrical structure of power grids. In IEEE 43rd Hawaii international conference on system sciences (HICSS), pp 1–10

  • Hu B, Xie K, Tai H (2018) Reliability evaluation and weak component identification of ± 500-kV HVDC transmission systems with double-circuit lines on the same tower. IEEE Trans Power Deliv 33(4):1716–1726

    Article  Google Scholar 

  • Hussain SMS (2012) Identification of weak buses using voltage stability indicator and its voltage profile improvement by using DSTATCOM in radial distribution systems. IOSR J Electr Electron Eng 2(4):17–23

    Article  Google Scholar 

  • Iyer S, Killingback T, Sundaram B, Wang Z (2013) Attack robustness and centrality of complex networks. PLoS ONE 8(4):e59613

    Article  Google Scholar 

  • Laughton MA, El-Iskandarani MA (1978a) On the inherent network structure. In: Proceedings 6th power system computation conference (PSCC), pp 178–189

  • Laughton MA, El-Iskandarani MA (1978b) On the inherent network structure. In: Proceedings 6th PSCC, pp 178–189

  • Li P, Busarello L, Karagiannopoulos S (2016) Power system reduction techniques for dynamic analysis. https://www.ethz.ch/content/dam/ethz/specialinterest/itet/institute-eeh/power-systems-dam/documents/SAMA/2016/Li-MA-2016.pdf. Accessed 26 Jun 2019

  • Li Y-S, Ma D-Z, Zhang H-G, Sun Q-Y (2015) Critical nodes identification of power systems based on controllability of complex networks. Appl Sci 5(3):622–636

    Article  Google Scholar 

  • Merck PJ, Kurths J (2012) Topological identification of weak points in power grids. NDES 2012. Nonlinear Dynamics of Electronic Systems, Wolfenbütte, Germany, pp 144–147

    Google Scholar 

  • Moger T, Dhadbanjan T (2015) A novel index for identification of weak nodes for reactive compensation to improve voltage stability. IET Gener Transm Distrib 9(14):1826–1834. https://doi.org/10.1049/iet-gtd.2015.0054

    Article  Google Scholar 

  • Nasiruzzaman ABM, Pota HR (2014) Bus dependency matrix of electrical power systems. Electr Power Energy Syst 56:33–41

    Article  Google Scholar 

  • Ódor G, Hartmann B (2018) Heterogeneity effects in power-grid network models. Phys Rev E 98(2):022305

    Article  Google Scholar 

  • Pagani GA, Aiello M (2015) A complex network approach for identifying vulnerabilities of the medium and low voltage grid. Int J Crit Infrastruct 11(1):36

    Article  Google Scholar 

  • Rosato V, Bologna S, Tiriticco F (2007) Topological properties of high-voltage electric transmission networks. Int J Electr Power Syst Res 77:99–105

    Article  Google Scholar 

  • Sikiru TH (2013) Inherent structural characteristics based optimal operation of power system networks. D.Tech./Ph.D. dissertation, Department of Electrical Engineering, Tshwane University of Technology, Pretoria, South Africa, 2013

  • Sikiru TH, Jimoh AA, Hamam Y, Agee JT, Ceschi R (2012) Classification of networks based on inherent structural characteristics. In: 2012 sixth IEEE/PES transmission and distribution: Latin America conference and exposition (T&D-LA), Montevideo, pp 1–6

  • Subramani C, Dash SS, Bhaskar MA, Jagadeeshkumar MB, Sureshakurmar K, Parthipan R (2009) Line outage contingency screening and ranking or voltage assessment. In: 2009 third international conference on power systems ‘ICPC’09, Kharagpur, India December 27–29, pp 1–5

  • Subramani C, Subhransu SD, Mohan ASR (2012) Critical lines based weak area clustering using voltage stability analysis and contingency ranking in power system. J Converg Inf Technol (JCIT) 7(23):131–139

    Google Scholar 

  • Thukaram D, Vyjayanthi C (2008) Estimation of most economic bilateral contract using relative electrical distance concept in a deregulated environment. In: Fifteenth National power systems conference (NPSC), IIT Bombay, pp 208–213

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Lagos, Nigeria

    Akintunde Samson Alayande

  2. Department of Electrical Engineering, Faculty of Engineering and the Built Environment, Tshwane University of Technology, Pretoria, South Africa

    Adisa Abdul-Ganiyu Jimoh

  3. Department of Electrical and Mining Engineering, College of Science, Engineering and Technology, School of Engineering, University of South Africa, Pretoria, South Africa

    Adedayo Ademola Yusuff

Authors
  1. Akintunde Samson Alayande
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  2. Adisa Abdul-Ganiyu Jimoh
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  3. Adedayo Ademola Yusuff
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Correspondence to Akintunde Samson Alayande.

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Alayande, A.S., Jimoh, A.AG. & Yusuff, A.A. Identification of Critical Elements in Interconnected Power Networks. Iran J Sci Technol Trans Electr Eng 44, 197–211 (2020). https://doi.org/10.1007/s40998-019-00235-1

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  • DOI: https://doi.org/10.1007/s40998-019-00235-1

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