Original scientific paper

https://doi.org/10.17559/TV-20140714130812

Application of swarm based optimization algorithms to maximize output energy of photovoltaic panels

Amangaldi Koochaki ; Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
Hadieh Sadat Hosseini ; Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran

Abstract

Produced energy of Photovoltaic (PV) cells depends on solar radiation. Thus, the highest share of the solar radiation to the surface of the PVs is essential. This paper presents a new control strategy to maximize the output energy of dual axis sun tracking. In this procedure, the optimal trajectory of the tracking system is determined based on a bounded optimization problem. The optimal tilt and azimuth angles of PV are calculated using swarm based optimization algorithms and an objective function that is suggested based on time dependent solar radiation prediction. This prediction uses the length of a sunbeam’s path through the atmosphere. The proposed approach is simulated by MATLAB software using Bee optimization algorithm and the results are compared with the Differential Evolution (DE), Genetic Algorithm (GA) and fixed panel results. The results show that the proposed method increases the electrical energy production within photovoltaic systems.

Keywords

bee optimization algorithm; maximize energy; photovoltaic panel; sun tracking

Hrčak ID:

169334

URI

https://hrcak.srce.hr/169334

Publication date:

29.11.2016.

Article data in other languages: croatian

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