Voltage and Current Waveforms Analysis of Synchronous Generator under No-Load and Two-Phase Short-Circuit Conditions with Excitation Current Monitoring

The synchronous generator serves as a fundamental component in power generation systems, operating under various conditions including no-load operation and two-phase short-circuit scenarios. During these operational states, critical monitoring of voltage and current waveforms across all three phases, along with the excitation current waveform, becomes essential. From a technical implementation perspective, waveform analysis typically involves signal processing algorithms such as Fast Fourier Transform (FFT) for harmonic analysis and digital filtering techniques to eliminate noise interference. Proper analysis of these waveforms enables the identification of potential issues through pattern recognition algorithms, thereby improving generator performance and reliability. Implementing real-time monitoring systems with waveform capture functionality requires programming approaches that utilize sliding-window data acquisition and trigger-based sampling mechanisms. Ensuring optimal generator operation necessitates developing diagnostic algorithms that compare real-time waveforms against baseline patterns using cross-correlation techniques or machine learning models for anomaly detection. Addressing abnormalities promptly involves implementing automated alert systems with threshold-based triggering logic and root cause analysis algorithms.