Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3813
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dc.contributor.authorMahapatra, Prateek Kumar-
dc.contributor.authorGudla, Sai Kiran-
dc.contributor.authorGurugubelli, Vikash-
dc.contributor.authorGhosh, Arnab-
dc.contributor.authorPanda, Anup Kumar-
dc.date.accessioned2022-12-20T11:37:33Z-
dc.date.available2022-12-20T11:37:33Z-
dc.date.issued2022-11-
dc.identifier.citation10th IEEE Power India International Conference 2022 (PIICON 2022)", organized by NIT Delhi held during Nov 25–27, 2022en_US
dc.identifier.urihttp://hdl.handle.net/2080/3813-
dc.descriptionCopyright is with the conference publisheren_US
dc.description.abstractDue to rising energy consumption and global climate change difficulties, distributed generation, smart grid, and renewable energy technologies are gaining traction as solutions to global problems. Conventional power systems have been prone to reliability issues, especially with the increase in the electrical power grid. In future, microgrids (MGs) will become a potential trend in power systems. The prime focus of this paper is on the parallel control of inverters which act as grid forming inverters. A comparative study and analysis was done on the droop control, fuzzy adaptive droop control of the voltage source inverters in a stand-alone MG. Droop control scheme imitates the droop characteristics of generators in a conventional grid and controls the frequency and terminal voltage of output in accordance with variation in output power. It allows for decentralized control without the need for external communication lines. These solutions allow for a "plug-and- play" interface and improve system reliability. However, these inverters have no ability to inject virtual inertia adaptively as per power variations. It's prone to slow transient response and frequency and amplitude deviations, and ineffective reactive power-sharing. A novel adaptive droop control scheme with fuzzy logic based virtual moment of injection was proposed to address the issues. In this way, when there’s any deviation in frequency and voltage due to disturbances, the proposed model adaptively varies the droop coefficients to provide better transient response. The simulation results of both the control schemes were compared and an improvement in performance was observed in the adaptive mode.en_US
dc.subjectDroop Controlen_US
dc.subjectAdaptive moment of Inertiaen_US
dc.subjectParallel Inverters; Microgriden_US
dc.subjectFuzzy Controlleren_US
dc.titleFuzzy Adaptive Droop Controlled Parallel Inverters for Microgrid Applicationsen_US
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