A Comprehensive Study of Power Quality Improvement Techniques in Smart Grids with Renewable Energy Systems
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8289-9_18
Reference25 articles.
1. Das SR, Ray PK, Sahoo AK, Singh KK, Dhiman G, Singh A (2021) Artificial intelligence-based grid connected inverters for power quality improvement in smart grid applications. Comput Electr Eng 93:1–18
2. Alkahtani AA, Alfalahi STY, Athamneh AA, Shetwi AQ, Mansor MB, Hannan MA, Agelidis VG (2020) Power quality in microgrids including supraharmonics: issues, standards, and mitigations. IEEE Access 8:127104–127122
3. Martin VML., Azcondo FJ, Pigazo A (2018) Power quality enhancement in residential smart grids through power factor correction stages. IEEE Trans Ind Electron 65(11):8553–8564
4. Liu H, Hussain F, Shen Y, Arif S, Nazir A, Abubakar M (2018) Complex power quality disturbances classification via curvelet transform and deep learning. Electr Power Syst Res 163:1–9
5. Subudhi U, Dash S (2021) Detection and classification of power quality disturbances using GWO ELM. J Ind Inf Integr 22:1–11
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