Control of Communications-Dependent Cascading Failures in Power Grids

The most severe failures in power grids are often characterized as cascading failures where an initial event triggers consequent failures all along the grid often leading to blackouts. Upon identifying a failure and its cascade potential, timely control actions should be performed by the grid operators to mitigate the effect of the cascade. These actions have to be delivered to one or more control devices, creating a dependency between the power grid and its control network. This paper examines the dependency of the operation of the power grid on the control network. Different from literature studies on failure control, our dependency model captures the impact of networking parameters. We formulate an algorithmic model that describes the impact of this dependency on cascade control. Based on this model, we propose an efficient cascade control algorithm using load shedding with consideration of delays in the communication network for power grids. Finally, we evaluate the impact of the power-communication network dependency with uncontrolled grids, ideal/simple control grids and our proposed control scheme. The results demonstrate that the proposed algorithm can significantly reduce the failure of power lines while sustaining larger power demand for users.

[1]  Anjan Bose,et al.  Decentralized Communication and Control Systems for Power System Operation , 2015, IEEE Transactions on Smart Grid.

[2]  Farrokh Aminifar,et al.  Communication-Constrained Regionalization of Power Systems for Synchrophasor-Based Wide-Area Backup Protection Scheme , 2015, IEEE Transactions on Smart Grid.

[3]  Joe H. Chow,et al.  Measurement and Modeling of Delays in Wide-Area Closed-Loop Control Systems , 2015, IEEE Transactions on Power Systems.

[4]  Kun Zhu,et al.  Examination of data delay and packet loss for wide-area monitoring and control systems , 2012, 2012 IEEE International Energy Conference and Exhibition (ENERGYCON).

[5]  Ronnie Belmans,et al.  Usefulness of DC power flow for active power flow analysis , 2005 .

[6]  Kai Sun,et al.  A Multi-Timescale Quasi-Dynamic Model for Simulation of Cascading Outages , 2016, IEEE Transactions on Power Systems.

[7]  Daniel Bienstock,et al.  Optimal control of cascading power grid failures , 2011, IEEE Conference on Decision and Control and European Control Conference.

[8]  Shengwei Mei,et al.  Blackout Model Considering Slow Process , 2013, IEEE Transactions on Power Systems.

[9]  R. Belmans,et al.  Usefulness of DC power flow for active power flow analysis , 2005, IEEE Power Engineering Society General Meeting, 2005.

[10]  Mahshid Rahnamay-Naeini,et al.  On the role of power-grid and communication-system interdependencies on cascading failures , 2013, 2013 IEEE Global Conference on Signal and Information Processing.

[11]  Zhuo Lu,et al.  Dominoes with communications: On characterizing the progress of cascading failures in Smart Grid , 2016, 2016 IEEE International Conference on Communications (ICC).

[12]  Arunabha Sen,et al.  Identification of K most vulnerable nodes in multi-layered network using a new model of interdependency , 2014, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[13]  Sandeep K. Shukla,et al.  Communication network modeling and simulation for Wide Area Measurement applications , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[14]  Eytan Modiano,et al.  Assessing the effect of geographically correlated failures on interconnected power-communication networks , 2013, 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[15]  Hadi Saadat,et al.  Power Systems Analysis , 2002 .

[16]  Yue Zhao,et al.  Minimum Sparsity of Unobservable Power Network Attacks , 2016, IEEE Transactions on Automatic Control.

[17]  Eytan Modiano,et al.  Mitigating cascading failures in interdependent power grids and communication networks , 2014, 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[18]  Yilu Liu,et al.  A Bounded Model of the Communication Delay for System Integrity Protection Schemes , 2016, IEEE Transactions on Power Delivery.

[19]  Moustafa Chenine,et al.  Modeling and Simulation of Wide-Area Communication for Centralized PMU-Based Applications , 2011, IEEE Transactions on Power Delivery.

[20]  Feng Liu,et al.  Risk Assessment of Multi-Timescale Cascading Outages Based on Markovian Tree Search , 2016, IEEE Transactions on Power Systems.

[21]  G.T. Heydt,et al.  Latency Viewed as a Stochastic Process and its Impact on Wide Area Power System Control Signals , 2008, IEEE Transactions on Power Systems.

[22]  Gil Zussman,et al.  Power grid vulnerability to geographically correlated failures — Analysis and control implications , 2012, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[23]  Joe H. Chow,et al.  Estimation and measurement of closed-loop delays in the actual WACS of Guizhou Power Grid , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).