Research of Microgrid Stability with Voltage Sag Detection using Instantaneous Features Extraction
M. Kumudwathi1, G. Sreenivasan2, V. Ganesh3
1M. Kumudwathi, Ph.D Scholar, JNTUA Anantapur (A.P), India.
2Dr. G. Sreenivasan, Professor, SRIT (A.P), India.
3Dr. V. Ganesh, HOD, Department of EEE, JNTUA Pulivendula (A.P), India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1239-1241 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B10450882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1045.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the inexorably serious energy shortage and environment contamination, the wide utilization of the well known sustainable power sources are considered as successful approaches to improve the energy and environment circumstance. The negative impact on the system stability couldn’t be overlooked for their irregular, fluctuant and arbitrary attributes. Intending to think about the strength of microgrid with access of Instantaneous Features Extraction is one of the most productive methods for successful utilization of these grids. In this way a proactive tracking, counteract fault ride-through the sustainable sources, bring about limiting downtime and improving the profitability. In this unique situation, this paper proposes Instantaneous Features Extraction calculation for the identification of voltage droops as they are the most frequently experienced power quality aggravations. Hence takes into consideration early discovery of power quality degeneration improves the profitability.
Keywords: Microgrid, DG, Voltage Sag, Swell, Power Quality, Stability.
Scope of the Article: Grid Networking/ Computing