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DC MICROGRID FOR WIND AND SOLAR POWER 
INTEGRATION 
ABSTRACT: 
Operational controls are designed to support the integration of wind and solar 
power within microgrids. An aggregated model of renewable wind and solar power 
generation forecast is proposed to support the quantification of the operational reserve 
for day-ahead and real-time scheduling. Then, a droop control for power electronic 
converters connected to battery storage is developed and tested. Compared with the 
existing droop controls, it is distinguished in that the droop curves are set as a function 
of the storage state-of-charge (SOC) and can become asymmetric. The adaptation of 
the slopes ensures that the power output supports the terminal voltage while at the 
same keeping the SOC within a target range of desired operational reserve. This is 
shown to maintain the equilibrium of the microgrid’s real-time supply and demand. 
The controls are implemented for the special case of a dc microgrid that is vertically 
integrated within a high-rise host building of an urban area. Previously untapped wind 
and solar power are harvested on the roof and sides of a tower, thereby supporting 
delivery to electric vehicles on the ground. The microgrid vertically integrates with 
the host building without creating a large footprint.
BLOCK DIAGRAM: 
Pv panel Battery 
Driver section 
Pic controller 
Dc bus 
Ac source 
Dc 
generator 
Ac/dc 
Dc/dc 
Dc/dc Ac/dc Ac source 
Output
TOOLS AND SOFTWARE USED: 
 MP LAB 
 ORCAD/PSPICE 
 MATLAB/SIMULINK 
OUTPUT: 
 HARDWARE 
 SIMULATION

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JPEEE1464 DC Micro grid for Wind and Solar Power Integration

  • 1. DC MICROGRID FOR WIND AND SOLAR POWER INTEGRATION ABSTRACT: Operational controls are designed to support the integration of wind and solar power within microgrids. An aggregated model of renewable wind and solar power generation forecast is proposed to support the quantification of the operational reserve for day-ahead and real-time scheduling. Then, a droop control for power electronic converters connected to battery storage is developed and tested. Compared with the existing droop controls, it is distinguished in that the droop curves are set as a function of the storage state-of-charge (SOC) and can become asymmetric. The adaptation of the slopes ensures that the power output supports the terminal voltage while at the same keeping the SOC within a target range of desired operational reserve. This is shown to maintain the equilibrium of the microgrid’s real-time supply and demand. The controls are implemented for the special case of a dc microgrid that is vertically integrated within a high-rise host building of an urban area. Previously untapped wind and solar power are harvested on the roof and sides of a tower, thereby supporting delivery to electric vehicles on the ground. The microgrid vertically integrates with the host building without creating a large footprint.
  • 2. BLOCK DIAGRAM: Pv panel Battery Driver section Pic controller Dc bus Ac source Dc generator Ac/dc Dc/dc Dc/dc Ac/dc Ac source Output
  • 3. TOOLS AND SOFTWARE USED:  MP LAB  ORCAD/PSPICE  MATLAB/SIMULINK OUTPUT:  HARDWARE  SIMULATION