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.
A reactor winding has been damaged due to induction of resonance voltages on the de-energized circuit of two parallel 230 kV shunt compensated lines between Zahedan and Iranshahr. The phenomenon is modeled in PSCAD and the safe range of shunt compensation is derived. In this study the effect of various faults on the lines, the reactor saturation and corona dissipation are considered and the results are compared to the electrostatic no-loss method results. Various ways are examined for damping the resonance condition and the best solution is chosen.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.