Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring

This paper introduces a binary search algorithm using second order polynomial fitting to efficiently determine the maximum power transfer to a non-controlled load when accounting for variations in Thévenin voltage magnitude due to non-linearity. This is used for voltage stability boundary monitoring of a power system in real time. The binary search with polynomial fitting (BSPF) is compared to a reference algorithm, which sweeps over different load levels, and a binary search and is shown to improve both runtime and accuracy of results. The assessment method can take advantage of parallelization, which together with the BSPF algorithm makes it possible to determine a margin for each of the 2.000 non-controlled loads in a 3.000 bus test system in less than 6 seconds. This enables early detection of voltage instability in highly dynamic future smart grid based power systems.

[1]  Thierry Van Cutsem,et al.  A short survey of methods for voltage instability detection , 2011, 2011 IEEE Power and Energy Society General Meeting.

[2]  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.

[3]  Florian Dörfler,et al.  Kron Reduction of Graphs With Applications to Electrical Networks , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.

[4]  Stefan Sommer,et al.  Reduce–factor–solve for fast Thevenin impedance computation and network reduction , 2018, IET Generation, Transmission & Distribution.

[5]  C. Hildebrandt,et al.  Evaluation of Factorization Methods for Thévenin Equivalent Computations in Real-Time Stability Assessment , 2018, 2018 Power Systems Computation Conference (PSCC).

[6]  Cerfacs Lab Sparse Approximations of the Schur Complement for Parallel Algebraic Hybrid Solvers in 3D , 2010 .

[7]  Jacob Østergaard,et al.  Super-Positioning of Voltage Sources for Fast Assessment of Wide-Area Thévenin Equivalents , 2017, IEEE Trans. Smart Grid.

[8]  Arne Hejde Nielsen,et al.  Wide-Area Assessment of Aperiodic Small Signal Rotor Angle Stability in Real-Time , 2013, IEEE Transactions on Power Systems.

[9]  Stefan Sommer,et al.  A Memory-Efficient Parallelizable Method for Computation of Thévenin Equivalents Used in Real-Time Stability Assessment , 2019, IEEE Transactions on Power Systems.

[10]  Jacob Østergaard,et al.  Suitability of voltage stability study methods for real-time assessment , 2013, IEEE PES ISGT Europe 2013.

[11]  S. Corsi,et al.  A Real-Time Voltage Instability Identification Algorithm Based on Local Phasor Measurements , 2008, IEEE Transactions on Power Systems.

[12]  F. Gubina,et al.  Local voltage-stability index using tellegen's Theorem , 2007, 2007 IEEE Power Engineering Society General Meeting.

[13]  Jacob Østergaard,et al.  Super-Positioning of Voltage Sources for Fast Assessment of Wide-Area Thévenin Equivalents , 2017, IEEE Transactions on Smart Grid.

[14]  Arne Hejde Nielsen,et al.  Improved Voltage Stability Boundary Monitoring by Accounting for Variations in Thevenin Voltage Magnitude , 2018, 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).