A novel optimum arrangement for a hybrid renewable energy system using developed student psychology based optimizer: A case study

Autor: Ruijing Shi, Weiqing Wang, Zhi Yuan, Xiaochao Fan, Ehsan Ramezani
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Energy Reports, Vol 7, Iss , Pp 70-80 (2021)
Druh dokumentu: article
ISSN: 2352-4847
DOI: 10.1016/j.egyr.2020.11.168
Popis: A novel optimum arrangement of combinatorial PV/BG/Battery/PSH-based off-grid combinatorial sustainable energy system is suggested in this paper to provide the required energy of a radio transmitter station on the Three Gorges Dam in Hubei, China. The study proposes four decision variables to lessen the overall life-cycle cost under different constraints. To enhance the solution capability, a novel developed version of Student Psychology Based Optimizer (DSPBO) is proposed. The study also works on lessening the levelized energy expense based on the proposed method with a comparison to some various algorithms from the literature. Simulation results showed that in the DSPBO algorithm, OLCC has higher convergence. The optimal design for this algorithm is a OLCC of $ 816,427 and LEOE of $ 0.4913 $/kWh which is the best compared with other analyzed methods. Final simulations show that the presented technique obtains the optimum outcomes with comparison to the others
Databáze: Directory of Open Access Journals