Implementation of a dynamic monitoring tool with virtual phasor measurement units using open source software
Keywords:
dynamic monitoring, oscillatory stability, phasor measurement units, open source, electrical power systemsAbstract
The present study developed a practical implementation of dynamic monitoring on a two-area system, using Power Factory software for disturbance event simulation and open-source tools (Spyder, PyCharm, and PMU Tester) for real-time signal visualization and analysis. The methodology included: (i) power flow resolution under normal operating conditions with a convergence tolerance of 1×10⁻⁶ p.u., (ii) simulation of fault events on lines, buses, and generators using electromechanical transient simulation (EMS), (iii) application of automatic voltage regulators (AVR) and power system stabilizers (PSS) to mitigate oscillatory instability, and (iv) data export to a Python platform for generating real-time synchrophasor signals. Results evidenced that the incorporation of stabilizers significantly improves the system's oscillatory signal, reducing recovery time against fault events between 66% and 69%. Likewise, controller parameters require specific adjustments according to fault location and duration. Voltage, current, angle, and active power signals varied according to fault type and time, potentially exceeding operational limits until the system returns to steady state. The study demonstrates the feasibility of integrating commercial simulation software with open-source tools to implement an accessible and replicable dynamic monitoring system
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