چكيده به لاتين
Abstract
In recent years, important issues such as energy security, pollution environmental and
passive defense have caused policy of governments to tend to develop using to tendency
renewable energies such as wind, solar and fuel cell. The microgrids provide a suitable
platform for putting together distributed generation units, especially loads and renewable
resources, for increasing reliability, energy efficiency and reduce losses and
environmental pollution and indirect upgrade of the grid. Microgrid operation and control
have challenges including power management, energy management, protection, power
quality and stability. Power management goals in a DC microgrid include proper sharing
of power between energy sources and voltage regulation. Droop based control method
provides a proper voltage regulation and better power sharing caused by non-dependence
on the path resistors. This method will have better reliability and stability than the other
methods due to its decentralized nature and not require the communication link. For this
reason, this dissertation analyzes the multidimensional droop control for wind resources
in DC microgrid.
In this dissertation presented a novel droop control strategy, that droop control surface
implements in high dimension than tow dimensional (traditional) droop control. This
droop control strategy depends on two variables included bus voltage and wind speed. An
objective function has been proposed for the power used by wind energy, and the PSO
method has been used to optimize it, and the three dimensional droop coefficients have
been extracted. Then The optimum droop control proposed for two dimensional
(traditional) and three dimensional (wind) scenarios.
Case study microgrid includes two loads, two sources and one energy storage. The case
study microgrid first simulated using two dimension droop and three dimension droop
control. Then simulation repeated for microgrid using optimal droop control. The results
of the simulations show the benefits of the droop control strategy presented to the
traditional droop control, which includes the maximum power used by wind power, cost
reduction, and air pollution. It should be noted that all simulations have been done in
Matlab/Simulink.
Keywords: DC microgrid, Droop control, Power management, Renewable energies
(wind), PSO
