Abstract
The hybrid microgrid system is considered one of the best solution methods for many problems, such as the electricity problem in regions without electricity, to minimize pollution and the depletion of fossil sources. This study aims to propose and implement a new algorithm called improved heap-based optimizer (IHBO). The objective of minimizing the microgrid system cost is to reduce the net present cost while respecting the reliability, power availability, and renewable fraction factors of the microgrid system. The results show that the PV/diesel/battery hybrid renewable energy system (HRES) gives the best solution, with a net present cost of MAD 120463, equivalent to the energy cost of MAD 0.1384/kWh. The reliability is about 3.89%, the renewable fraction is about 95%, and the power availability is near to 99%. The optimal size considered is represented as 167.3864 m2 of PV area, which is equivalent to 44.2582 kW and 3.8860 kW of diesel capacity. The study results show that the proposed optimization algorithm of IHBO is better than the artificial electric field algorithm, the grey wolf optimizer, Harris hawks optimization, and the original HBO algorithm. A comparison of the net present cost with a different fuel price is carried out, in which it is observed that the net present cost is reduced even though its quantity used is mediocre.
Highlights
The implementation of hybrid microgrids is necessary due to their advantages
The present paper proposes a new tool consisting of platforms using an improved version of the Heap-Based Optimizer (HBO) algorithm called improved heap-based optimizer (IHBO)
The algoare arranged as GWO, HBO, AEFA, HHO, and IHBO, with a net present cost of MAD
Summary
The implementation of hybrid microgrids is necessary due to their advantages. Many projects and studies have proven their essential ecological and economic effects. The literature has assessed the microgrid from all directions, including design, operation, optimization, control, and others. Literature reviews have provided more comprehensive studies. In [1], a comprehensive study on the optimization of microgrid operations has been presented. In [2], a review of AC and DC microgrid protection has been presented
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