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

Abstract

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

Keywords

• Radio transmitter station
• Developed student psychology based optimizer
• Loss of Load Probability
• Overall Life-Cycle Cost
• Combinatorial sustainable energy system