Vulnerability Identification and Evaluation of Interdependent Natural Gas-Electricity Systems

The intensified interdependency of natural gas and electricity systems poses urgent needs and new challenges in identifying vulnerable components of the interdependent system, which could be significantly different from those of individual systems because of the interdependency. This paper proposes a method to identify and rank vulnerable components of interdependent natural gas-electricity systems. Specially, a topological model and the vulnerability index for the interdependent system are constructed, and vulnerable component identification method is put forward to select and rank components by simultaneously considering topological and functional vulnerabilities. The proposed vulnerable component identification method is quantitatively assessed via a security evaluation approach, which calculates electricity and gas supply-demand imbalance when the vulnerable components are out of service. Numerical results of a 6-bus electricity/7-node gas system and a modified IEEE 118-bus electricity/20-node gas system illustrate effectiveness of the proposed method.

[1]  Anurag K. Srivastava,et al.  Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids , 2016, IEEE Transactions on Smart Grid.

[2]  Jesus Beyza,et al.  Ranking critical assets in interdependent energy transmission networks , 2019, Electric Power Systems Research.

[3]  Min Ouyang,et al.  Review on modeling and simulation of interdependent critical infrastructure systems , 2014, Reliab. Eng. Syst. Saf..

[4]  Lei Wu,et al.  Robust Co-Optimization Planning of Interdependent Electricity and Natural Gas Systems With a Joint N-1 and Probabilistic Reliability Criterion , 2018, IEEE Transactions on Power Systems.

[5]  Faruk Kazi,et al.  Analysis and prediction of vulnerability in smart power transmission system: A geometrical approach☆ , 2018 .

[6]  Marios M. Polycarpou,et al.  Hybrid systems modeling for critical infrastructures interdependency analysis , 2017, Reliab. Eng. Syst. Saf..

[7]  Mohammad Shahidehpour,et al.  Robust Co-Optimization Scheduling of Electricity and Natural Gas Systems via ADMM , 2017, IEEE Transactions on Sustainable Energy.

[8]  T. W. Gedra,et al.  Natural gas and electricity optimal power flow , 2003, 2003 IEEE PES Transmission and Distribution Conference and Exposition (IEEE Cat. No.03CH37495).

[9]  Zhe Chen,et al.  Steady-state analysis of the integrated natural gas and electric power system with bi-directional energy conversion , 2016 .

[10]  Berna Dengiz,et al.  An integrated simulation model for analysing electricity and gas systems , 2014 .

[11]  Wai-yu. Ng.  Generalized Generation Distribution Factors for Power System Security Evaluations , 1981, IEEE Transactions on Power Apparatus and Systems.

[12]  Hongbin Sun,et al.  Big-M Based MIQP Method for Economic Dispatch With Disjoint Prohibited Zones , 2014, IEEE Transactions on Power Systems.

[13]  P. Hines,et al.  Do topological models provide good information about electricity infrastructure vulnerability? , 2010, Chaos.

[14]  Zhaoxia Jing,et al.  Coordinated scheduling strategy to optimize conflicting benefits for daily operation of integrated electricity and gas networks , 2017 .

[15]  Yang Wang,et al.  Dynamic Economic Dispatch Considering Transmission Losses Using Quadratically Constrained Quadratic Program Method , 2013, IEEE Transactions on Power Systems.

[16]  Yong Deng,et al.  A cluster-growing dimension of complex networks: From the view of node closeness centrality , 2019, Physica A: Statistical Mechanics and its Applications.

[17]  Bo Wang,et al.  A Novel Index for Assessing the Robustness of Integrated Electrical Network and a Natural Gas Network , 2018, IEEE Access.

[18]  Yijia Cao,et al.  Cascading Failure Analysis Considering Interaction Between Power Grids and Communication Networks , 2016, IEEE Transactions on Smart Grid.

[19]  Antonio J. Conejo,et al.  Coordinated Expansion Planning of Natural Gas and Electric Power Systems , 2018, IEEE Transactions on Power Systems.

[20]  Azah Mohamed,et al.  Vulnerability assessment of a large sized power system considering a new index based on power system loss , 2007 .

[21]  Jesus Beyza,et al.  Robustness assessment of the expansion of coupled electric power and natural gas networks under cascading failures , 2018, IET Generation, Transmission & Distribution.

[22]  Jose M. Yusta,et al.  Geodesic Vulnerability Index for Contingency Analysis in Electric Infrastructures , 2013 .

[23]  Garth P. McCormick,et al.  Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems , 1976, Math. Program..

[24]  Ian A. Hiskens,et al.  Topological Graph Metrics for Detecting Grid Anomalies and Improving Algorithms , 2018, 2018 Power Systems Computation Conference (PSCC).

[25]  Zechun Hu,et al.  Chance-Constrained Two-Stage Unit Commitment Under Uncertain Load and Wind Power Output Using Bilinear Benders Decomposition , 2016, IEEE Transactions on Power Systems.

[26]  Hongbin Sun,et al.  Two-Stage Convexification-Based Optimal Electricity-Gas Flow , 2020, IEEE Transactions on Smart Grid.

[27]  E. Shashi Menon,et al.  Gas pipeline hydraulics , 2005 .

[28]  Richard Holden,et al.  A network flow model for interdependent infrastructures at the local scale , 2013 .

[29]  Ravi Shankar Singh,et al.  Error-tolerant graph matching using node contraction , 2018, Pattern Recognit. Lett..

[30]  Björn Geißler,et al.  Using Piecewise Linear Functions for Solving MINLP s , 2012 .

[31]  Massimo Marchiori,et al.  Model for cascading failures in complex networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[32]  Suming Wu,et al.  Model relaxations for the fuel cost minimization of steady-state gas pipeline networks , 2000 .

[33]  Yicheng Zhang,et al.  Identifying influential nodes in complex networks , 2012 .

[34]  Min Ouyang,et al.  A methodological approach to analyze vulnerability of interdependent infrastructures , 2009, Simul. Model. Pract. Theory.

[35]  Yongpei Guan,et al.  Unified Stochastic and Robust Unit Commitment , 2013, IEEE Transactions on Power Systems.

[36]  Junbo Zhao,et al.  A Novel Cascading Faults Graph Based Transmission Network Vulnerability Assessment Method , 2018, IEEE Transactions on Power Systems.

[37]  Mohammad Shahidehpour,et al.  Coordinated scheduling of electricity and natural gas infrastructures with a transient model for natural gas flow. , 2011, Chaos.

[38]  Nikola Rajaković,et al.  Security modelling of integrated gas and electrical power systems by analyzing critical situations and potentials for performance optimization , 2019, Energy.