Identification of Critical Elements in Interconnected Power Networks

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.

[1]  J. Ser,et al.  A Critical Review of Robustness in Power Grids Using Complex Networks Concepts , 2015 .

[2]  Géza Ódor,et al.  Heterogeneity effects in power grid network models. , 2018, Physical review. E.

[3]  Xinghuo Yu,et al.  A Maximum-Flow-Based Complex Network Approach for Power System Vulnerability Analysis , 2013, IEEE Transactions on Industrial Informatics.

[4]  Subhransu Sekhar Dash,et al.  Critical lines based Weak Area Clustering using Voltage Stability Analysis and Contingency Ranking in Power System , 2012 .

[5]  Marco Aiello,et al.  A complex network approach for identifying vulnerabilities of the medium and low voltage grid , 2015, Int. J. Crit. Infrastructures.

[6]  Z. Styczynski,et al.  Solving Several Problems of Power Systems Using Spectral and Singular Analyses , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.

[7]  Yushuai Li,et al.  Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks , 2015 .

[8]  C. Subramani,et al.  Line outage contingency screening and ranking for voltage stability assessment , 2009, 2009 International Conference on Power Systems.

[9]  T. Killingback,et al.  Attack Robustness and Centrality of Complex Networks , 2013, PloS one.

[10]  Lingzhi Zhu,et al.  A new approach of generating scheduling in power system with wind power using electrical paths between generators and loads , 2014 .

[11]  G. Carpinelli,et al.  Inherent structure theory of networks and power system harmonics , 1998 .

[12]  Pierluigi Caramia,et al.  The Inherent Structure Theory of Network for power quality issues , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[13]  Vittorio Rosato,et al.  Topological properties of high-voltage electrical transmission networks , 2007 .

[14]  Juergen Kurths,et al.  Topological Identification of Weak Points in Power Grids , 2012 .

[15]  Heng-Ming Tai,et al.  Reliability Evaluation and Weak Component Identification of ±500-kV HVDC Transmission Systems With Double-Circuit Lines on the Same Tower , 2018, IEEE Transactions on Power Delivery.

[16]  C. Vyjayanthi,et al.  Estimation of Most Economic Bilateral Contract using Relative Electrical Distance Concept in a Deregulated Environment , 2008 .

[17]  A. A. Jimoh,et al.  Classification of networks based on inherent structural characteristics , 2012, 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA).

[18]  Xinghuo Yu,et al.  Identifying vulnerable lines in a power network using complex network theory , 2009, 2009 IEEE International Symposium on Industrial Electronics.

[19]  Hemanshu R. Pota,et al.  Bus dependency matrix of electrical power systems , 2014 .

[20]  Seth Blumsack,et al.  The Topological and Electrical Structure of Power Grids , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[21]  Tukaram Moger,et al.  A novel index for identification of weak nodes for reactive compensation to improve voltage stability , 2015 .

[22]  A. A. Jimoh,et al.  Identification of critical buses and weak transmission lines using inherent structural characteristics theory , 2015, 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[23]  Seth Blumsack,et al.  Comparing the Topological and Electrical Structure of the North American Electric Power Infrastructure , 2011, IEEE Systems Journal.

[24]  N Visali,et al.  Identification of weak buses using Voltage Stability Indicator and its voltage profile improvement by using DSTATCOM in radial distribution systems , 2012 .

[25]  Dong Han,et al.  Evaluating the impact of smart grid technologies on generation expansion planning under uncertainties , 2016 .