Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids

This paper presents a method for quantifying and enabling the resiliency of a power distribution system using analytical hierarchical process and percolation theory. Using this metric, quantitative analysis can be done to analyze the impact of possible control decisions to pro-actively enable the resilient operation of distribution system with multiple microgrids and other resources. Developed resiliency metric can also be used in short term distribution system planning. The benefits of being able to quantify resiliency can help distribution system planning engineers and operators to justify control actions, compare different reconfiguration algorithms, and develop proactive control actions to avert power system outage due to impending catastrophic weather situations or other adverse events. Validation of the proposed method is done using modified CERTS microgrids and a modified industrial distribution system. Simulation results show topological and composite metric considering power system characteristics to quantify the resiliency of a distribution system with the proposed methodology, and improvements in resiliency using two-stage reconfiguration algorithm and multiple microgrids.

[1]  Edmund M. Yeh,et al.  Cascading Link Failure in the Power Grid: A Percolation-Based Analysis , 2011, 2011 IEEE International Conference on Communications Workshops (ICC).

[2]  William H. Sanders,et al.  SOCCA: A Security-Oriented Cyber-Physical Contingency Analysis in Power Infrastructures , 2014, IEEE Transactions on Smart Grid.

[3]  T. Sakaguchi,et al.  Development of a Knowledge Based System for Power System Restoration , 1983, IEEE Transactions on Power Apparatus and Systems.

[4]  N. Hatziargyriou,et al.  Microgrids: an overview of ongoing research, development, anddemonstration projects , 2007 .

[5]  Stephen P. Boyd,et al.  Growing Well-connected Graphs , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[6]  Zhao Yang Dong,et al.  An improved model for structural vulnerability analysis of power networks , 2009 .

[7]  Seth Blumsack,et al.  A Centrality Measure for Electrical Networks , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[8]  A. Akhil.  The CERTS MicroGrid Concept , 2002 .

[9]  Cesar A. Silva-Monroy,et al.  Conceptual Framework for Developing Resilience Metrics for the Electricity, Oil, and Gas Sectors in the United States , 2014 .

[10]  Y. Moreno,et al.  Resilience to damage of graphs with degree correlations. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[11]  Bill Rose,et al.  Microgrids , 2018, Smart Grids.

[12]  B. Mohar.  THE LAPLACIAN SPECTRUM OF GRAPHS y , 1991 .

[13]  John C. Crittenden,et al.  Index of network resilience for urban water distribution systems , 2016, Int. J. Crit. Infrastructures.

[14]  Hemanshu R. Pota,et al.  Impediments and Model for Network Centrality Analysis of a Renewable Integrated Electricity Grid , 2014 .

[15]  Ulas Eminoglu,et al.  Distribution Systems Forward/Backward Sweep-based Power Flow Algorithms: A Review and Comparison Study , 2008 .

[16]  Jianhui Wang,et al.  Self-Healing Resilient Distribution Systems Based on Sectionalization Into Microgrids , 2015, IEEE Transactions on Power Systems.

[17]  My T. Thai,et al.  Detecting Critical Nodes in Interdependent Power Networks for Vulnerability Assessment , 2013, IEEE Transactions on Smart Grid.

[18]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[19]  D. Hill,et al.  On Convexity of Power Flow Feasibility Boundary , 2008, IEEE Transactions on Power Systems.

[20]  Richard Brown,et al.  Electric Power Distribution Reliability, Second Edition , 2008 .

[21]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[22]  Hemanshu R. Pota,et al.  Resiliency Analysis of Large-Scale Renewable Enriched Power Grid: A Network Percolation-Based Approach , 2014 .

[23]  M.R. Iravani,et al.  Power Management Strategies for a Microgrid With Multiple Distributed Generation Units , 2006, IEEE Transactions on Power Systems.

[24]  Sanjay V. Rajopadhye,et al.  Improving Reliability of Islanded Distribution Systems With Distributed Renewable Energy Resources , 2012, IEEE Transactions on Smart Grid.

[25]  David Tse,et al.  Geometry of injection regions of power networks , 2011, IEEE Transactions on Power Systems.

[26]  Mark E. J. Newman.  A measure of betweenness centrality based on random walks , 2005, Soc. Networks.

[27]  W. Lachs.  Controlling Grid Integrity after Power System Emergencies , 2002, IEEE Power Engineering Review.

[28]  M E J Newman.  Assortative mixing in networks. , 2002, Physical review letters.

[29]  Guanrong Chen,et al.  Complex networks: small-world, scale-free and beyond , 2003 .

[30]  Richard E. Brown,et al.  Electric Power Distribution Reliability , 2002 .

[31]  T. Nagata,et al.  A Multiagent Approach to Power System Restoration , 2002, IEEE Power Engineering Review.

[32]  Kirti Peniwati,et al.  GROUP DECISION MAKING: DRAWING OUT AND RECONCILING DIFFERENCES , 2017 .

[33]  B. Obama.  Presidential Policy Directive 21: Critical Infrastructure Security and Resilience , 2013 .

[34]  Amin Khodaei,et al.  Resiliency-Oriented Microgrid Optimal Scheduling , 2014, IEEE Transactions on Smart Grid.

[35]  Anurag K. Srivastava,et al.  Quantifying resiliency of smart power distribution systems with distributed energy resources , 2015, 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE).

[36]  S. Havlin,et al.  Breakdown of the internet under intentional attack. , 2000, Physical review letters.

[37]  Paul W. Mielke,et al.  Covariance Analysis Technique Based on Bivariate Log-Normal Distribution with Weather Modification Applications , 1977 .

[38]  Zhu Han,et al.  Stochastic Pre-hurricane Restoration Planning for Electric Power Systems Infrastructure , 2015, IEEE Transactions on Smart Grid.

[39]  Ming Xu,et al.  An infrastructure ecology approach for urban infrastructure sustainability and resiliency , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[40]  Thomas L. and Beltran Miguel H. Saaty,et al.  Architectural Design by the Analytic Hierarchy Process , 1980 .