Abstract
Wind and solar energy hold an important position in renewable energy sources. In wind energy conversion, the output power can change depending on the speed and intensity of the wind while in solar energy conversion it can change depending on the solar radiation and temperature. The energy conversion that combines these two energy types is called hybrid system. The energy produced by the wind and PV, hybrid power systems shows variance depending on the speed and intensity of wind and irradiation and temperature of PV panels in some cases the wind power and the PV power may not be at the expected level for the on grid micro inverter. This study aims to increase energy sustainability on grid based the hybrid power systems. The hybrid power system’s output voltage is constantly measured with a voltage sensor. The input voltage range of the micro-inverter has been tried to be kept at a value that can give energy to the grid. In order to achieve this, the energy continuity is increased by providing battery support at voltages close to the minimum power value that will enable micro-inverter conduction.
Highlights
Studies on renewable energy sources such as wind and sun continue to hold popularity. [1]
This study focuses on an optimization of micro on grid PV/Wind hybrid energy system, the output voltage of the wind/PV hybrid system, connected to the grid with micro-inverter, has been constantly measured at certain intervals
First the output voltage (VH) of the PV / Wind hybrid system is calculated by voltage divider resistors and this calculated value is given to the A1 analog input of the Arduino Mega Card
Summary
Studies on renewable energy sources such as wind and sun continue to hold popularity. [1]. Studies on renewable energy sources such as wind and sun continue to hold popularity. The limited availability of fossil resources and the environmental pollution they cause make clean and sustainable renewable energy sources advantageous [2]-[3]. Among environmentally-friendly energy resources, wind and solar energies are at the forefront [4]. As seen in Fig., wind and solar energies hold a key role in global electric generation. There are various researches on how to improve the efficiency and make the installation of wind and PV energy systems more cost-effective. In relevant research in the literature, to reach maximum power, several algorithms and controller such as SST k–ω turbulence model [6], improved differential evolution and bee algorithm [7]-[8], Piezoelectric energy harvester [9], adaptive neuro-fuzzy strategy [10] perturbation and observation (P&O) [11], fuzzy logic, incremental conductance [12], current control loop [13], FPGA and DSP [14] controller etc. have been proposed and applied
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