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Energy Management Control Algorithm Based Bidirectional DC-DC Converter for Small Scale Micro Grid with Hybrid Storage System
R.Rajasekaran1, P.Usha Rani2
1R. Rajasekaran, Research Scholar, Department of EEE, Anna University, Sri Lakshmi Ammal Engineering College, Chennai (Tamil Nadu), India.
2Dr. P. Usha Rani, Professor, Department of EEE, R.M.D Engineering College, Kavaraipettai Chennai (Tamil Nadu), India.
Manuscript received on 15 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 06 September 2019 | PP: 36-44 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10080886S19/19©BEIESP | DOI: 10.35940/ijeat.F1008.0886S19
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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 work recommends a Energy management algorithm for bidirectional DC-DC Converter to Small scale micro grid, for example, wind, sun based energy resource and battery, Super capacitor. An energy management control algorithm, which can ensure that the availability of Energy at hybrid sources, based on the load power demand and the battery and Super Capacitor of energy state, which is established to operate the Small Scale micro grid as a self-sufficient mode. Control calculation and Power converters operation has been utilized alongside committed Energy Resource for the effective buck-boost operation of the Small Scale micro grid. The control calculations are produced to give control similarity and Energy management between various resources in the micro grid. The proposed control arrangement of DC-DC converter some rationale entryways are utilized to appropriately separate the battery and Super Capacitor from Direct current connect.The operation is simulated and modelled by Mat lab software.
Keywords: Energy Management Control Algorithm, Bidirectional DC-DC Converter, Battery, Super Capacitor, Small Scale Micro Grid, Hybrid Energy Resource.
Scope of the Article: Algorithm Engineering