Inverter Position Placement Method In PV Farm Using the String PV Cluster on Normal/Partial Shaded Conditions

Abstract

Photovoltaic (PV) Farm is one of the effective way to produce high scaled electrical energy from sunlight. Many research has been done, is powered optimization method on PV Farm generator string cluster base. But, this method needed a bigger inverter power capacity about 240% from it was before. So this research offer a joint powered optimization method on PV Farm generator string cluster base also can reduce the needs of inverter power capacity. Reducing the needs on inverter capacity can be engineered through inverter position by using Smart Control Algorithm(SCA). This research used a PV Farm with 150 kWp capacity, 50 PV string, every string is consist of 12 module. When it got the shading effect then PV string grouped them into three cluster. The cluster criteria is base on voltage difference between string is more than 20%. Next those three output cluster connect to 3 inverter through switch matrix, where the power capacity comes to the three inverter continously are 75%, 20%, and 5% of power capacity in PV Farm. Inverter position controlled is determined SCA. its controller function to raise the ON/Off signal switch on switch matrix series. Process on raising the ON/Off by SCA base on the voltage input and string current PV Farm. The Voltage and electrical current value is captured through electrical sensor reading and voltage sensor on each cluster. With the controller, power of PV Farm could be channel by inverter with a minimize power capacity on the inverter. Base on simulation result , this method could pressure the need of inverter capacity on PV Farm generator cluster base about 140% (has the same power capacity as generator). So it's concluded that this method could work better on optimizing the power and reducing the inverter capacity in PV Farm generator cluster base on normal/partial shading radiation