A novel multi-verse optimiser with integrated guidance strategy for parameters identification of photovoltaic models
by Jinkun Luo; Fazhi He; Xiaoxin Gao
International Journal of Bio-Inspired Computation (IJBIC), Vol. 19, No. 2, 2022

Abstract: To improve the efficiency of converting solar energy into electricity with photovoltaic (PV) system, it is essential to obtain the satisfactory PV system parameters. However, the process of identifying PV parameters easily falls into the local optimum with the unreliability of traditional parameter extraction techniques, due to the multi-modal characteristics of the equivalent circuit equation of a PV model. So accurately and reliably identifying PV model parameters is still a challenging and popular topic. In this study, a novel multi-verse optimiser with integrated guidance strategy (MVOIGS) is designed to identify satisfactory photovoltaic parameters. First, multi-level guidance mechanism (MGM) is designed to replace the search mechanism of original multi-verse optimiser (MVO) to improve the accuracy of solution by enhancing global and local search ability. Second, while MVO improved by MGM can enhance accuracy of solution, it may also face the problem of unreliability because it is a stochastic optimisation algorithm. Thus, we propose a weighted mutation disturbance method (WMDM) to reduce the probability of unreliability as far as possible by disturbing the selected individuals of population generated by MGM. Finally, the proposed MVOIGS is applied to solve parameters identification. Overall, experimental results demonstrate that the proposed MVOIGS outperforms 17 optimisation algorithms.

Online publication date: Tue, 01-Mar-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bio-Inspired Computation (IJBIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com