AI Summary & Key Takeaways
AI InsightIn the end, it was evaluated along with simulation, experimental results.
📌 3 Key Takeaways
Abstract
Photovoltaic energy systems have an important role in electricity generation. Although photovoltaic systems are renewable, environmentally-friendly, silent and non-fuelled, they still have various disadvantages such as high investment cost and low efi‘iciency. In order to get highest efl‘iciency from photovoltaic systems in dijferent operation conditions, solar panels and arrays should be operated at maximum powerpoints. At maximum powerpoint, solar arrays generate the electric energy at maximum efiiciency and minimum losses. Some algorithms are used in photovoltaic systems to provide maximum efliciency and minimum losses. The perturbation and observation (P&O) algorithm have been well known algorithm. Although it is an easily applicable algorithm, it has important ripple problems when it reaches to maximum power point. This paper introduces an improvement on conventional P&O algorithm to eliminate ripple problem and it applied on grid connected system. In this approach, ripples are eliminated by obtaining reference current value under variable and constant solar irradiation conditions. This algorithm proposes variable power perturbation with fillfactor. In the end, it was evaluated along with simulation, experimental results.