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A Management of power flow for DC Microgrid with Solar and Wind Energy Sources ABSTRACT: Today there is a rapid proliferation of DC loads into the market and DC micro grid with renewable energy sources is emerging as a possible solution to meet growing energy demand. As different energy sources like solar, wind, fuel cell, and diesel generators can be integrated into the DC grid, Management of power flow among the sources is essential. In this paper, a control strategy for Management of power flow in DC micro grid with solar and wind energy sources is presented. As the regulation of voltage profile is important in a standalone system, a dedicated converter is to be employed for maintaining the DC link voltage. DC link voltage is regulated by the battery circuit while maximum power is extracted from Solar and Wind to feed the loads connected at the DC bus. A power flow algorithm is developed to control among three sources in the DC Microgrid. The algorithm is tested for various load conditions and for fluctuations in solar and wind power in MATLAB/SIMULINK environment.
KEYWORDS: 1. DC microgrid 2. Power flow administration 3. Photovoltaics 4. Wind conversion systems
SOFTWARE: MATLAB/SIMULINK
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BLOCK DIAGRAM:
Fig. 1 Block diagram of the DC microgrid with Solar and wind energy sources
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EXPERIMENTAL RESULTS:
Fig 2 . Response of the system for increase in load power
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Fig 3. Response of the system for decrease in load power
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Fig .4. Response of the system during change in Ppv
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ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
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Fig .5. Response of the system during change in Pw
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CONCLUSION: A Management of power flow and control algorithm for DC microgrid with solar and wind energy sources is presented. As the system involves different intermitted energy sources and load whose demand can vary, it is necessary to develop a Management of power flow and control algorithm for the DC Microgrid. To provide ceaseless power supply to the loads and balance the power flow among the different sources at any time, a Management of power flow algorithm is developed. The feasibility of the algorithm has been tested for various load conditions and for changes in solar and wind power.
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