Suite of online and offline software modules for oscillation detection and expert modal analysis using synchrophasors
MANTRA is a software suite aimed at real-time monitoring and offline analysis of problematic electromechanical and subsynchronous oscillations in a power grid using wide-area phasor measurement unit (PMU) readings. MANTRA combines advanced signal-processing algorithms with heuristic expert system rules to automatically extract the damping ratio, frequency, mode shape, and energy level of poorly damped electromechanical oscillations in a power system from power system measurements. The core patented technology within MANTRA has been licensed from Washington State University, Pullman, WA, and has been tested all over the world.
MANTRA is the only oscillation analysis software designed for monitoring complex oscillatory phenomena in modern power systems by automatically and simultaneously processing a large number of phasor measurement unit (PMU) signals available in emerging wide-area monitoring systems. The algorithms are coded using the multithreading and advanced core capabilities of modern computer architectures. Estimation accuracy, computational speed and redundancy are core principles in the design of MANTRA.
MANTRA consists of two modules: Damping Monitor Engine and Event Analysis Engine, as shown in the flow chart below.
The event analysis engine, shown on the right side of the flow chart, carries out an expert system–based Prony-type ringdown analysis of system responses following disturbances or oscillations in the system. The objective for this engine is fast detection of poorly damped oscillations from sudden events in a power system, so that they can be analyzed and mitigating control actions can be initiated before the oscillations lead to potential equipment damage and outages. Event analysis engine uses four algorithms, namely, Prony, Matrix Pencil (MP), Eigenvalue Realization Algorithm (ERA) and Hankel Total Least Square (HTLS) together with multiple crosschecks to ensure the accuracy and reliability of ringdown analysis results.
The complementary damping monitor engine, shown on the left side of the flow chart, estimates the damping, frequency, and mode shape of poorly damped oscillatory modes from ambient PMU measurements. Unlike the event monitor engine, which only works when the system is subject to disturbances, the damping monitor engine is applicable all the time. By using natural power system responses to routine random fluctuations from load variations and generation changes, the damping monitor engine continuously tracks damping levels and mode shapes of poorly damped oscillatory modes. Damping monitor engine uses two algorithms, namely, Fast Frequency Domain Decomposition (FFDD) and Fast Stochastic Subspace Identification (FSSI) to estimate the dominant modes, their frequencies, damping and energy levels from wide area synchrophasor measurements continuously.
Windows platform
Physical or virtual servers
Multi-core systems preferred
2 to 1000+ signals
OpenPDC Platform
OpenHistorian and Grafana compatible
Damping Monitor Real-time: FFDD and FSSI
Event Analysis Real-time: Prony, MP, ERA, and HTLS
Stand-alone executables
Data import: CSV, Comtrade and PI server
Damping Monitor Offline: FFDD and FSSI
Event Analysis Offline: Prony, MP, ERA and HTLS