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Power Management in Hybrid Microgrid
Hitesh M. Karkar1, Indrajit N. Trivedi2, Prasanta K. Ghosh3

1Hitesh M. Karkar*, Research Scholar, Gujrat Technological University, Ahmedabad, India.
2Indrajit N. Trivedi, Professor, Department of Power Electronics, Vishwakarma Government Engineering College, Ahmedabad, India.
3Prasanta K. Ghosh, Professor, Department of Electrical Engineering & Computer Science Syracuse University, Syracuse, New York, USA.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 26, 2020. | Manuscript published on March 10, 2020. | PP: 1964-1969 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2967039520 /2020©BEIESP | DOI: 10.35940/ijitee.E2967.039520
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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: This paper is representing power management in a hybrid microgrid. The hybrid microgrid consists of PV, wind, battery, and grid. The power management strategy is mentioned in islanding and grid-connected mode. In a grid-connected system, the grid converter has to monitor and manage the power to flow between microgrid and grid. The voltage shifting based droop control technique is used in DG for proper load sharing when two sources are connected in parallel. DG units in hybrid microgrid have two switching modes including droop control and maximum power tracking (MPPT). The operation of a hybrid microgrid is operated in different thee mode. The bus voltage is the main carrier to switching the mode of a hybrid microgrid. The power management algorithm for hybrid microgrid described here. This renewable-based hybrid microgrid model can be used for different aspects like small residential and commercial buildings. The feasibility and effectiveness of this strategy for hybrid microgrid running in various modes verified by simulation result. 
Keywords: Hybrid Microgrid, Power Management, Droop Control, DG.
Scope of the Article: Data Management