Volt-VAR interaction evaluation in bulk power systems

This paper presents a novel method to evaluate the Volt-VAR interactions among the buses using relative gain (RG). Following the viewpoint of a multi-input-multi-output system, the Volt-VAR coupling RG is calculated based on the QV matrix which is extracted from power flow Jacobian matrix to evaluate the Volt-VAR interactions among the buses. The voltage stability weak buses are identified through a modified loading margin, and considered as voltage stability critical buses. The proposed evaluation method has great significance for partitioning Volt-VAR control areas in power systems. New England 39-bus system and Polish power system are used to test the performance of the proposed approach. The simulation results verify the effectiveness of the proposed approach in evaluating the Volt-VAR interactions.

[1]  J.V. Milanovic,et al.  Identification of electromechanical modes and placement of PSSs using relative gain array , 2004, IEEE Transactions on Power Systems.

[2]  Bin Wang,et al.  An Adaptive Zone-Division-Based Automatic Voltage Control System With Applications in China , 2013, IEEE Transactions on Power Systems.

[3]  Hsiao-Dong Chiang,et al.  CPFLOW: a practical tool for tracing power system steady-state stationary behavior due to load and generation variations , 1995 .

[4]  S. C. Srivastava,et al.  Approach to determine voltage control areas considering impact of contingencies , 2005 .

[5]  A. Bose,et al.  Localized reactive power markets using the concept of voltage control areas , 2004, 2006 IEEE Power Engineering Society General Meeting.

[6]  K. Shimizu,et al.  Singular perturbation for the dynamic interaction measure , 1985 .

[7]  C. Rehtanz,et al.  Assessment and Choice of Input Signals for Multiple HVDC and FACTS Wide-Area Damping Controllers , 2012, IEEE Transactions on Power Systems.

[8]  A. Bose,et al.  A fast voltage security assessment method using adaptive bounding , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[9]  E.D. Castronuovo,et al.  Reactive Power Response of Wind Generators Under an Incremental Network-Loss Allocation Approach , 2008, IEEE Transactions on Energy Conversion.

[10]  Tao Jiang,et al.  Identification of voltage stability critical injection region in bulk power systems based on the relative gain of voltage coupling , 2016 .

[11]  Fu Chuang,et al.  Design of WAMS-Based Multiple HVDC Damping Control System , 2011, IEEE Transactions on Smart Grid.

[12]  Eduardo Cotilla-Sanchez,et al.  Multi-Attribute Partitioning of Power Networks Based on Electrical Distance , 2013, IEEE Transactions on Power Systems.

[13]  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.

[14]  Chia-Chi Chu,et al.  Wide-Area Measurement-Based Voltage Stability Indicators by Modified Coupled Single-Port Models , 2014, IEEE Transactions on Power Systems.