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Improved Student Psychology Based Optimization Algorithm for Optimizing a Hybrid PV-Diesel-Battery system for a Remote Region located in China

Document Type : Original Article

Author

Tajik Technical University, Tajikistan

10.52293/SE.1.1.226242

Abstract

A new optimal hybrid solar/diesel/battery system was suggested in this paper for covering the load demand in a rural area in Taklamakan Desert located in China. The major idea is to design a new improved version of the Student Psychology Based Optimization Algorithm for minimizing the load probability loss, the annualized system expense, and the value of the CO2 release. The study also used the ε-constraint method to make a single objective problem from the multi-objective problem. The final results are compared with two other methods from the literature to indicate the higher capability of the method. The study also applied sensitivity analysis on the εCO2, εLLP, and the load consumption to show proper results of the system against different variations.

Keywords

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Journal of Smart Systems and Stable Energy
Volume 1, Issue 3 - Serial Number 3
September 2022
Pages 226-242
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