Decentralized power system state estimation with reduced inter-area communication

In this paper, we present a new algorithm for decentralized state estimation in multi-area power systems. The proposed method features significantly reduced communication between areas when compared to the existing gossip-based Gauss-Newton approach. We achieve this by confining gossip iterations associated with a specific state variable to only those areas which actually observe that state variable. This increases the speed of convergence of the gossip iterations, while reducing the amount of communication required for the gossip iterations to converge. We demonstrate the efficacy of our solution with simulations on the IEEE 118-bus system with different communication models.

[1]  H. Poor,et al.  Fully Distributed State Estimation for Wide-Area Monitoring Systems , 2012, IEEE Transactions on Smart Grid.

[2]  Stephen P. Boyd,et al.  Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..

[3]  G.T. Heydt,et al.  A Distributed State Estimator Utilizing Synchronized Phasor Measurements , 2007, IEEE Transactions on Power Systems.

[4]  Usman A. Khan,et al.  A sensor placement and network design paradigm for future smart grids , 2011, 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[5]  Stephen P. Boyd,et al.  A scheme for robust distributed sensor fusion based on average consensus , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[6]  Usman A. Khan,et al.  On the Genericity Properties in Distributed Estimation: Topology Design and Sensor Placement , 2012, IEEE Journal of Selected Topics in Signal Processing.

[7]  Stephen P. Boyd,et al.  Fast linear iterations for distributed averaging , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[8]  K. J. Ray Liu,et al.  Distributed State Estimation With Dimension Reduction Preprocessing , 2014, IEEE Transactions on Signal Processing.

[9]  M. Ribbens-Pavella,et al.  A Two-Level Static State Estimator for Electric Power Systems , 1981, IEEE Transactions on Power Apparatus and Systems.

[10]  R D Zimmerman,et al.  MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.

[11]  R. Baldick,et al.  State estimation distributed processing [for power systems] , 2000 .

[12]  Thierry Van Cutsem,et al.  A taxonomy of multi-area state estimation methods , 2011 .

[13]  George N Korres,et al.  A Distributed Multiarea State Estimation , 2011, IEEE Transactions on Power Systems.

[14]  G.T. Heydt,et al.  Diakoptic State Estimation Using Phasor Measurement Units , 2008, IEEE Transactions on Power Systems.

[15]  Jing Huang,et al.  State Estimation in Electric Power Grids: Meeting New Challenges Presented by the Requirements of the Future Grid , 2012, IEEE Signal Processing Magazine.

[16]  H. Vincent Poor,et al.  Distributed Hybrid Power State Estimation Under PMU Sampling Phase Errors , 2014, IEEE Transactions on Signal Processing.

[17]  A. Abur,et al.  Multi area state estimation using synchronized phasor measurements , 2005, IEEE Transactions on Power Systems.

[18]  Georgios B. Giannakis,et al.  Distributed Robust Power System State Estimation , 2012, IEEE Transactions on Power Systems.

[19]  Asuman E. Ozdaglar,et al.  Distributed Subgradient Methods for Multi-Agent Optimization , 2009, IEEE Transactions on Automatic Control.

[20]  Anna Scaglione,et al.  Convergence and Applications of a Gossip-Based Gauss-Newton Algorithm , 2012, IEEE Transactions on Signal Processing.

[21]  Stephen P. Boyd,et al.  Gossip algorithms: design, analysis and applications , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[22]  Stephen P. Boyd,et al.  Randomized gossip algorithms , 2006, IEEE Transactions on Information Theory.

[23]  Anna Scaglione,et al.  Robust Decentralized State Estimation and Tracking for Power Systems via Network Gossiping , 2013, IEEE Journal on Selected Areas in Communications.

[24]  Taneli Riihonen,et al.  Power System State Estimation Under Incomplete PMU Observability—A Reduced-Order Approach , 2014, IEEE Journal of Selected Topics in Signal Processing.