Application of Genetic Algorithm to Solar Panel Efficiency; A Case Study of Port-Harcourt Metropolis

Yıl 2018, Cilt: 4 Sayı: 2, 60 - 69, 27.06.2018

Roland Uhunmwangho Berebon Victor Leesi Ameze Big-alabo

Öz

This study focuses on the evaluation of solar panel efficiency used
within Port Harcourt environment. A major factor affecting the efficiency of
solar panels is the difference in region or weather and the ability of the
solar panel to convert incident radiation into electrical energy. Solar panels
have varying efficiency levels under different weather conditions. Most times
solar panels fall short of expected efficiencies. It is therefore important to
have adequate knowledge of the performance characteristics of a panel under
specific weather to ensure maximum output. For this research work, the panel
evaluated is a 125W Polycrystalline solar panel made of Gallium Arsenide. The
efficiency of the panel is calculated and recorded. The weather data for Port-Harcourt
is collected from the center for data collation Rivers State University.  The peak radiation value obtained from the
weather data for the year under consideration is used to evaluate the
efficiency and Genetic Algorithm is used to determine the optimal parameter of
the cells making up the panel to obtain an optimized cell to improve the
efficiency of the panel. To do this the cell initial properties is extracted
and tabulated genetic algorithm is then used to improve this properties
achieving better efficiency in the process.

Anahtar Kelimeler

Genetic Algorithm, Solar Panels, Weather, Optimization, Efficiency

Kaynakça

• Balzhiser and Richard E. (1977) R &D Status report “fossil fuel and advance system division” EPRI Journal vol. 2 (No.5) pp 49 – 53.
• Bernal-Augustine, J. L.; Dofo Lopez, R (2009) Multi-objective design and control of hybrid systems minimizing cost and unmet loads. Electrical power research Vol. 79, pp 170 – 181.
• Durand, H. L (1979) “Present status and prospects of photovoltaic energy conversion; proceeding of the photovoltaic solar energy conversion conference pp 93-105
• Enrique, J. M., Duran, E. Sidrach-de-cardona, M. Andjuor, J. M. (2007) Theoretical assessment of the maximum power point tracking efficiency of photo voltaic facilities with different converter topologies. Solar energy, vol. 81, issue 1 pp 31-38
• Furkan, D., Mehmet, E. M. (2010) “Critical factors that affect solar cells, smart grid and renewable energy, Vol. 1, pp 47-50 Haupt, R. L., Haupt, S. E., (1998).
• Practical Genetic algorithms (New York: Wiley) Hollande, J. H. (1992) Adaption in Natural and Artificial System MIT Press, Cambridge, MA
• Omubo-Pepple, V. B., Israel-Cookey, C. I. Alamino, K (2009) “Effect of Temperature, flux and relative humidity on the efficient conversion of solar energy to electricity” Department of Physics, Rivers State University of Science and Technology European Journal of Scientific Research Vol. 35, No.2, pp 173-180.
• Peippo K., Lund P.D. (1994). Optimal size of solar array and inverter in grid connected photovoltaic cell interconnection circuits.
• Rizala, Y. Hasta, S., and Feriyadi, W. (2013) “Application of solar position Algorithm for sun tracking, system energy procedure. Vol. 32, pp 160-165.
• Storn, R and Price, K. V (1997) Differential evolution a simple and efficient heuristic for global optimization over continuous spaces Journal of Global Optimization pp 341-359.