Optimising monthly tilt angles of solar panels using particle swarm optimisation algorithm

This paper presents an intelligent computational method using the PSO (particle swarm optimisation) algorithm to determine optimum tilt angle of solar panels in PV systems. The objective is assess performance this against conventional methods determining angle. presented here can be used at any location around world. In paper, it was applied Brunei Darussalam, and succeeded computing monthly angles, ranging from 34.7ᵒ December -26.7ᵒ September. Results showed that changing every month, as determined by algorithm, increased annual yield by: (i) 5.94%, compared keeping fixed 0ᵒ, (ii) 8.65%, Lunde’s (iii) 17.31%, Duffie Beckman’s method. Benchmark test functions were compare evaluate with artificial bee colony (ABC) another metaheuristic algorithm. tests revealed outperformed ABC exhibiting lower root mean square error standard deviation, better convergence global minimum, more accurate faster execution times.