Design of a Wide-Area Power System Stabilizer to Tolerate Multiple Permanent Communication Failures

Abstract

Wide-Area Power System Stabilizers (WAPSSs) are damping controllers used in power systems that employ data from Phasor Measurement Units (PMUs). WAPSSs are capable of providing high damping rates for the low-frequency oscillation modes, especially the inter-area modes. Oscillation modes can destabilize power systems if they are not correctly identified and adequately damped. However, WAPSS communication channels may be subject to failures or cyber-attacks that affect their proper operation and may even cause system instability. This research proposes a method based on an optimization model for the design of a WAPSS robust to multiple permanent communication failures. The results of applications of the proposed method in the IEEE 68-bus system show the ability of the WAPSS design to be robust to a possible number of permanent communication failures. Above this value, the combinations of failures and processing time are high and they make it difficult to obtain high damping rates for the closed-loop control system. The application and comparison of different optimization techniques are valid and showed a superior performance of the Grey Wolf Optimizer in solving the optimization problem.

Wide-Area Measurement-Based Two-Level Control Design to Tolerate Permanent Communication Failures

“…The WADC control project must determine the matrices B c and D c or the matrix G a (22). Therefore, the WADC-type control design (G WADC (s) in ( 11)) consists of resolving a constant output feedback problem given by (23). It is important to mention that this is a very effective control strategy as it considerably reduces the number of variables in the WADC design.…”

“…PMUs installed on system buses collect three-phase voltage and current measurements with high sampling rates and time synchronization, thus allowing global system information for the most varied applications. These real data from PMUs have encouraged the scientific community to develop different applications for the improvement of large electrical systems [18][19][20][21][22][23][24][25][26].…”

Load Margin Assessment of Power Systems Using Physics-Informed Neural Network with Optimized Parameters

“…Technological advances over the years have allowed the development of Synchronized Phasor Measurement Systems that provide voltage and current magnitude and phase measurements in real time with time synchronization and high sampling rates acquired by Phasor Measurement Units (PMUs) installed on system buses [5]. Data from PMUs have led to the development of different and promising tools for monitoring [6][7][8][9], protecting [10][11][12] and controlling [13][14][15][16][17][18] power systems.…”