Generating Unit Model Validation and Calibration Through Synchrophasor Measurements

Abstract

This paper presents a rule-based approach using synchrophasor measurements for generating unit model validation and calibration. The proposed method utilizes frequency and three-phase voltage signals recorded by phasor measurement unit at the point of common coupling of unit transformers to the high voltage grid. In the simulation setup, by taking the hybrid data simulation technique in use, the signals are being injected to the subsystem of generating units through a voltage source, which models the truncated external grid. The measured and simulated active power oscillations are then compared to each other and the effects of generating unit parameters on the oscillation mismatches are extracted. The maximum amplitude and damping ratio of oscillations are two main aspects of the observed mismatches. To recognize the most effective parameters on these aspects, a sensitivity analysis technique is applied. Next, identified parameters are adjusted to calibrate the generating unit dynamic model. Finally, quantitative and qualitative perspectives of the proposed method are investigated through different sorts of actual disturbances. The obtained results demonstrate that the final calibrated model outperforms the existing one, and it can be used for power system planning and operation studies. Time domain simulations are performed by DIgSILENT power factory software.Index Terms-Model validation and calibration (MVC), phasor measurement unit (PMU), playback process, sensitivity analysis.

Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring

“…The decentralisation procedure relies on system partitioning (in terms of the estimation calculations) and the use of measured inputs, which are measurements on the 'boundary' of the assumed subsystem [31], [32]. This partitioning based approach is usually called 'playback process', which is also useful in generator model validation procedures [36]. Here, the 'boundary' is the high voltage (HV) side of the transformer connected to the terminal bus of the respective generator (henceforth termed as 'HV bus'), to enable local anomaly detection based on measurements at the bus which corresponds to this side of the transformer, as in [36].…”

“…This partitioning based approach is usually called 'playback process', which is also useful in generator model validation procedures [36]. Here, the 'boundary' is the high voltage (HV) side of the transformer connected to the terminal bus of the respective generator (henceforth termed as 'HV bus'), to enable local anomaly detection based on measurements at the bus which corresponds to this side of the transformer, as in [36]. The assumed estimation model boundary is depicted in Fig.…”

Online Measurement-Based Estimation of Dynamic System State Matrix in Ambient Conditions

“…The unique feature of these methods is that they rely mainly on high-speed, time-synchronized PMU data and are partially or entirely model-free. Significant attention have been giving to the PMU-based applications such as robust state estimation (e.g., [5]), generator dynamic state estimation (e.g., [6]), fault detection and location (e.g., [7], [8]), inter-area oscillations (e.g., [9], [10]), dynamic equivalent (e.g., [11], [12]), model calibration (e.g., [13]), etc.…”

Data mining based excitation system parameters estimation considering DCS and PMU measurements using cubature Kalman filter

“…The above conditions are exactly what the network operators are facing frequently. In Reference 17, the frequency and three‐phase voltages at the HV side of unit transformer were measured by phasor measurement unit (PMU) and were used for the identification process. Magnitude and damping of oscillations have been considered as an indicative degree of measured and simulated signals' mismatch.…”