Novel time-domain average model for harmonic current prediction in photovoltaic and wind power units
International Transactions on Electrical Energy Systems, ISSN: 2050-7038, Vol: 31, Issue: 12
2021
- 2Citations
- 2Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Computer models designed to assess harmonic levels created by renewable energy sources (RESs) need to reproduce the converter operation effect. However, only a few simplified time-domain models have been developed to predict harmonics while reducing simulation time, which is one of the main limitations of detailed models. This paper presents a novel time-domain model, called the harmonic average model (HM), to estimate harmonic currents generated by inverters. The superposition principle is applied to include dead time and switching effects in the average model. In addition, the snubber effect is considered by introducing snubber circuits in the HM. Time-domain simulations of a type-IV wind turbine are executed with existing models and then with the HM to evaluate the proposed model. Field measurements in a wind power plant and in a photovoltaic plant are used to validate the HM under different power injection scenarios. The results indicate that the HM follows reference currents while accurately estimating the harmonic spectra. Further, the HM is relatively simple to deploy and reduces computation time. A comparison between the HM results and field measurements suggests that the simulated spectra are an adequate approximation of the measured spectra. These results confirm that the HM can be used by transmission system operators to support the prediction of harmonic currents generated by inverters and to estimate the impact of RESs on voltage quality.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know