Work

Performance Assessment of Multiple Optimizing Algorithms for Hybrid PV and Diesel Energy System Sizing

Year: 2024

Type: article

Abstract: This article assesses various optimization algorithms used to find the sizing of standalone hybrid energy system (HES) providing energy to isolated residential area load.The HES comprises three elements: photovoltaic panels (PV), diesel generators (DG).Many optimization algorithms have been assessed in this research to determine the most effective sizing of the HES in order to reduce the PV arrays, DGs number and the overall system cost hence minimizing the cost of energy (COE).The algorithms convergence time and the resulting loss of power supply probability (LPSP) are examined in this comparison.In this article, MATLAB/Simulink is used for its robust capabilities in modeling, simulating, and analyzing dynamic systems.The optimization's constraint is maintaining a reliability of 100%, ensuring uninterrupted energy supply to meet the energy demand.The results of the optimizations demonstrate that some algorithms gave different results of sizing.

Source: International Journal of Energy Production and Management

DOI: 10.18280/ijepm.090303

Authors: Mohammed Qasim Taha, Bamba El Heiba, Issa Cheikh Elhassene

Institutions: University of Anbar, Université de Nouakchott

Language: English

Topic: Hybrid Renewable Energy Systems

Subfield: Energy Engineering and Power Technology

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $950